Odoo versus SAP – Which is Best Choice and Why?

  • by bista-admin
  • Mar 10, 2017
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About Odoo:

Odoo (OpenERP) is an open-source comprehensive suite of business applications for sales, CRM, Project management, warehouse management, accounting, manufacturing, HR, and much more. With a strong and robust MVC(Model-View-Controller) architecture, flexible workflows, a dynamic GUI, and customizable reporting system integration Odoo offers over 3000+ modules specifically designed for business to improve their performances.

Then again, SAP is one of the most established ERP arrangements in the market. The correlation of Odoo to SAP is by all accounts a snappy recommendation for the present as the new goes up against the old.

With odoo offers an accumulation of remarkable elements, is bug-free, and has experienced experts, who give Odoo improvement benefits at a spending cost.

Meaning:

Discharged under the AGPL permit, Odoo is one of the best open-source business applications that is composed in Python, whereas SAP is a venture asset arranging programming that coordinates every one of the procedures of the bigger association.

Odoo being open source is allowed to be utilized and disseminated, and henceforth has brought down cost contrasted with whatever other paid ERP arrangement – for this situation SAP.

Odoo with no permitting expense is a feasible choice for small to medium-scale businesses. In any case, this doesn’t imply that is not reasonable for substantial companies or associations.

Unique and Fabulous Functionality

Usefulness is one of the key perspectives for both stages. Being open source, Odoo offers a great deal more opportunity and adaptability contrasted with SAP.

With its source code accessible, the association can contract skilled designers to deal with the customization and there is no shortage of them in the market.

Then again, SAP offers a decent choice, however, the absence of free code can truly upset the development of the organization. This doesn’t mean you can’t alter the SAP arrangement – however, that includes some significant downfalls higher than Odoo.

Bugs:

No product arrangement is 100% secure and that is the reason the genuine question is which stage illuminates the real bugs and keeps the arrangement usable for the association.

As far as bugs, both stages are practically equivalent. The arrival of Odoo V8.0 ingrained certainty and trust in the business and now numerous huge organizations are moving towards Odoo.

SAP then, in addition, offers bug settlement now and again.

Business Experienced Professionals

Odoo has developed into one of the major ERP arrangements in the market. The beginning was moderate, however now they are carrying on the serious canons, and with the arrival of Odoo V10.0, they are currently showcasing themselves as a total business suite for associations.

There is no shortage of designers and henceforth associations can concentrate on business and not on the business suite they are utilizing. Consultation is additionally promptly accessible for Odoo.

SAP is not a long way behind and offers great engineers and counsel. In any case, the cost of SAP advancement is way higher compared with Odoo.

Wrapping Thoughts

We discover Odoo a superior arrangement that is perfect for all organizations. If you are discovering its marvelous components are ideal and as per your needs, then Odoo is the great decision for you. SAP, then again is exorbitant and offers less adaptability contrasted with Odoo.

This was all about Odoo Vs Sap: Which Is the Best Choice And Why? We hope this short snippet has helped you get some information regarding Odoo

Please feel free to reach us at sales@bistasolutions.com for any queries on Odoo and its related modules.

ERP And Its Impact In The Indian Market

ERP Solution

What is ERP?

Enterprise Resource Planning or ERP is business process management software that allows an organization to use a system of integrated applications to manage the business and automate many back office functions related to technology, services, and human resources.

ERPs help associations to decrease general cost, at the same time expanding efficiency, enhancing reaction time, bringing down stock levels and improving for client introduction. It likewise helps in enhancing their administration and operational control.

How did the Indian Market come in flow with ERP arrangements?

Despite the fact that ERPs have much to convey to the table, the India market was very hesitant in ERP usage. How ERPs came to be utilized by Indian associations is fascinating, without a doubt. ERP programming arrangement at first was basically utilized for back office arrangements and was dealt with like simply one more bolster capacity.

In any case, after the crumple of the product showcase and different possibilities, organizations needed to turn towards ERP arrangements and find out about them as they were in a defenseless situation. This, at last, made every one of these organizations and associations mindful of the advantages that one can harvest from a legitimately executed ERP and began consolidating it into their whole business framework.

Again we can think about that India is presently changing the world IT center. Subsequently, all significant players in the field are continually endeavoring to advance and grow their market base. Aside from a commitment to these huge organizations, ERPs will, for the most part, be useful for the littler and medium-sized businesses to develop and thrive.

ERP and Current Scenario in India

In any case, some ERP designers were focusing on the emergency of this market and are presently prepared to give moderate ERP answers for these littler organizations. As of now, the SME’s fragment in India has turned into the most confident connectors for ERP arrangements. About 60% of the SME’s part have effectively incorporated ERP arrangements into their business.

Because of ERP arrangements or other moderate ERP modules created by some kind engineers, these SME’s organizations can now maintain the budgetary needs to incorporate ERPs into their business. This aide the SMEs for smoother stock administration, time administration, human asset administration, keeping up item cycles and shipment of merchandise and furthermore in online information correspondence.

India’s financial development as to universal rivalry depends intensely on Indian organizations to incorporate and actualize ERPs. There ought to be sufficient mindfulness gliding through the air to tell them about the high benefit to cost proportion that ERPs can convey to an organization.

ERP showcase

As talked about before car and steel ventures demonstrate extraordinary enthusiasm for receiving ERP modules and Automobile, Steel, Engineering modules are some that show awesome potential market in the days to come.

Specialists have evaluated that by and large, the ERP showcase has encountered a development of almost 70% in the most recent decade alone while the market to has dashed to abnormal amounts of financial increases. Reports have been made that have underlined the obvious measurable advantages that Indian organizations experienced in the middle of the post-ERP execution period.

Conclusion

A reasonable helpful impact gave by actualizing an ERP can be judged if the organization in concern expresses their items before ERP execution and after that measure their accomplishment after ERP usage. This can give a superior understanding of the impacts of an ERP.

By the by, ERPs incorporate extraordinary elements that can ease up the workload for some organizations, at last, bringing about less demanding work and in this way in a roundabout way increment profitability. The way that the development rate of ERP usage in India is on the ascent implies that Indian organizations can now stand toe-to-toe with the worldwide rivalry.

For any queries on ERP Solutions or any guidance on selecting the right ERP Software for your business get in touch with us through sales@bistasolutions.com or to write your feedback on this blog post, you can reach us at feedback@bistasolutions.com

Automating business insights using Analytics

Data analytics (DA) is the process of examining data sets to draw conclusions about the information it contains, increasingly with the aid of specialized systems and software. 

Over the past few years, we’ve seen a remarkable growth of data analytics. organizations like, professional sports franchises, medical research institutions and much more, not even a single industry is untouched the use of data analytics. The analytics has changed the face of the market in every term.

Every organization is acknowledging the power of data, they are driving their business to the new heights with actionable decisions. Precisely, all the IT giants are not only getting the benefits from it also doing research and development to get the better prediction accuracy.

Using analytics and other data mining techniques, you can get the best insights from the data. So, let’s have a deep dive into it with their use cases.

Descriptive Analytics:

Descriptive Analytics are used to describe the basic features of the data with the help of analytical tools (i.e. R, SAS, Tableau) and other statistical methods. It provides simple summaries about the sample and measures.

Use case – I

Let’s start working with “Online Retail” dataset which is well known and very popular among us. we are taking this dataset for the sake of understanding.

Dataset reference link: https://archive.ics.uci.edu/ml/datasets/Online+Retail

So, below is the head of the retail transactional data which consist over 500 thousand records, having the daily transaction with eight different variables which can be seen below.

screen1

So, by using some basic visualization tools and techniques, now we have the basic information about the data, what data is about?

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In the top left plot (i.e. time series – monthly sale), we can observe that in the month of November-2011 highest sale recorded compare to other months. The very next month Dec-2011 has the marginal drop in a sale. By analyzing this plot we can at least have the basic idea that there was something untrendy in Dec-2011. If we look at trend line which shows an upper trend, that means over the past months we have significant growth rate.

In the top right plot (i.e. customer wise sale report), the top customers are there on the list. We can focus to serve them as good as possible.

In the lower plot (i.e. country wise sale report), it’s a geographical plot for different countries based on sale generated for the region. The highlighted region “United Kingdom” is the country who is having the highest sale over the past year.

The table below gives us the basic idea about dataset with statistical attributes.

Summary table (transaction dataset):

screen3

Below plot shows, the highest selling product in decreasing order.

screen4

Predictive Analytics:

Predictive Analytics is the branch of advanced analytics which is used to make the prediction of unknown future events. It uses many statistical techniques, machine learning, artificial intelligence, data mining and modeling to make the prediction for unknown future events.

screen5

To understand the techniques of predictive analytics, let’s work with another use case.

Use Case – II

Here, I am using the “German Credit” data, having 1000 number of records and 21 columns, let’s see what information we can get from this data using predictive analytic techniques?

data reference link:
https://onlinecourses.science.psu.edu/stat857/sites/onlinecourses.science.psu.edu.stat857/files/german_credit.csv

Below, the structure of the data gives us the overview, what data is about?

analytics

Applied first phase of analytics i.e. descriptive analytics. Now, here we are going to apply some popular predictive analytic techniques like regression model, decision tree etc.

Model – I

Decision trees: These are classification models that partition data into subsets based on categories of input variables. So, let’s apply DT on credit data.

screen7

Initially, we decide the target variable i.e. Creditability, later looking the impact of other variables on target variable and we can treat them accordingly.

Below, the DT plot from which it can easily identify the different levels and nodes of DT. The classification criteria for the different levels are calculated with the help of entropy.

screen8

Model – II

Regression (linear and logistic) is one of the most popular methods in statistics. Regression analysis estimates relationships among variables. So, let’s work with another model i.e. “Regression” on credit data.

Regression modeling in R, codes are below:

screen9

The regression output is shared below with some highlighted rows, which means those variables have the significant impact on credibility (i.e. variable of interest).

screen10

The highlighted variables have p-values less than 0.05 (significant level), which indicates that the variables have the significant impact on target variable.

Prescriptive Analytics:

Prescriptive Analytics is basically the area of business analytics which leads to increase the number of suggestions (options) for a current situation. It is related to both descriptive and predictive analytics. It optimizes decision and helps us to maximize profitable growth and mitigate the risk as well.

Case Study – III: Product Recommendation

E-commerce websites and applications, for example, make recommendations based on user data—such as Amazon or Netflix suggesting a product based on our interest or on our purchase history.

How does it work? Behind the whole process, the team of data scientists monitors model results. The analytic results, associated content, and delivery of said content are all controlled through an automated workflow which is nothing but an algorithm.

The brilliant part about this case example is that the models prescribe what to do (i.e., which product to recommend), and an automated system actually does it (i.e., the website tells you what to buy next).

This insight is already here, but the next step is even more exciting: solutions will also offer actual recommendations based on data to ensure good business decisions that will help organizations to reach their goals.

Conclusion:

The major goal of analytics is to help organizations and make them more informed business decisions in the form automated insights. After analyzing the large volume of different forms of data which may be untouched due to their complexity, this can include Internet clickstream data and weblogs, internet contents and social activity, survey responses and emails, sensor data connected with IoT.

For more insights on Business Analytics feel free to get in touch with us through sales@bistasolutions.com, you can also write your feedback on how this blog has helped you at feedback@bistasolutions.com.

Odoo V10: Show message recipients

Odoo V10

Introduction to odoo:

Odoo formerly known as OpenERP and before that tinyERP is a suite of enterprise management applications. Targeting companies of all sizes, the application suite includes billing, accounting, warehouse management, project management etc.

A few months ago only odoo V10 is launched with its new features. It is a platform for which we could say “All Applications Under One Roof”.

Show Message recipients:

This is the new application developed by us due to which you can never accidentally send emails. For odoo enterprise version 10.0 this module expands “Followers” into an editable list of recipients. You can see every contact who is currently following the document from which you are sending the message.

You can even add or remove people without affecting the followers, just be sure that email is only going to those who should be actually receiving it.

By the image described below, it clearly describes that how this module works actually i.e. whose so ever names are there in followers would be automatically reflected in recipients list. If some other names are to be added in recipients list, then they would not be reflected in the “Followers” name.

img1

For odoo enterprise V10 the workflow is as follows:

Firstly we need to install the module “Show Message Recipients”

img2

Secondly, for any sale order or any quotation page there is a button for “New Message” and by clicking on it a new wizard opens up for sending emails with the names of recipients the same as in the “Followers”

img3

The wizard will be seen as follows:

img4

This is how this module works and if we add extra recipients it would not be shown in the “Followers” list. This was all about odoo v10 “Show Message Recipients”, we hope this short snippet would have helped you in getting some insights of odoo. Stay tuned for more information on odoo.

Please feel free to reach us at sales@bistasolutions.com for any queries on odoo and its related modules. Also, you can write us through feedback@bistasolutions.com and tell us how this information has helped you.

Which Visualization Is Right For You?

Introduction

Every day we consume a lot of data, whether it is in our personal life or professional. Newspapers, magazines, websites, statistical reports, PowerPoint slides being the common platforms. The most common way data gets depicted is through graphs or visualizations. They capture the essence of what data is trying to tell you or to put it more dramatically, they provide a medium for data trying to talk to you and tell you a story. It is prudent that the visualizations chosen are apt because they may give a different meaning compared to what the data represents if chosen incorrectly. This choice becomes even more crucial when decision making is dependent on the inferences are drawn from the visualizations.

Choosing the right visualization for your Business

BI and visualizations tools have made creating graphs very easy in the recent years. Almost all organizations that rely heavily on data for decision making have done away with Microsoft Excel for creating visualizations. This is because of two simple reasons. One, the size of data being used has increased a million-fold. Second, most other tools provide more variety in the number of visualizations which enables users to choose the right graph for a specific dataset.

Most BI tools like Tableau, Power BI, SpagoBI, Qlikview, Jaspersoft give anywhere between 10-15 basic visualizations to choose from. The users can further customize to create more visuals. With so many new visuals being available and many getting added year on year, users face the dilemma of choosing the right one for the data being used. For example, there is a transactional dataset for a geography, say the United states. So, if the user wants to represent the transactions at the state level, using a Bar graph or column graph will give a good understanding of the which state has the least or most values. However, representing transactions at city level using the same type of graph is not advisable. The simple reason being the visual will be too cluttered to derive any action out of it. Instead, if a Map is used for representing that dataset, it is not visually appealing but also meaningful to derive information. Visuals are therefore only effective if the person consuming it can derive any action item or explore a cause-effect relationship.

Choosing the right visualization is indeed an important and difficult task. But the choices may be shortlisted by deciding what do you wish to convey through the visualization. These can be generalized into the following groups:

  1. Comparing Values

The following chart types can be used when comparing values or outlining the extreme values across the spectrum of the data:

    1. Column

    2. Bar

    3. Line

    4. Bullet

region

  1. Showing composition of data

This is widely used when the data has to be distributed into subcategories and thus show how each subcategory behaves within that dataset. The following chart types can be used:

    1. Pie

    2. Stacked bar/column

    3. Area

    4. Waterfall

showing composite data

  1. Show data distribution

When your dataset consists of multiple data points and outliers need to be identified or a certain range has to be defined to cluster your data, the following chart types can be used:

    1. Scatterplot

    2. Bubble chart

    3. Circular Views (specific to Tableau)

    4. Treemap

show data distribution

  1. Understanding relationships between groups of data

When you want to understand how one or multiple data points affect the other, the following charts can be used:

    1. Scatter plot

    2. Bubble chart

    3. Line

Understanding relationships between groups of data

You may see several charts being repeated in the above groups. This is because the same chart type can be used to gain different insights into the data. It would depend on the data points being used and the formatting of the chart. Furthermore, the data could be continuous or discrete and therefore most common charts like the line, bar, scatter plot can be used in more than one way.

When does a visualization Fail?

  1. The majority of the times users try to overfill a chart with too many data points, like in the case of a line or bar graph, which makes the visualization look cluttered. Because you cannot differentiate between two data points easily or they overlap the majority of the time, it becomes difficult for the user to deduce anything from that visual.

  2. Using too many colors makes the visualization overload with information. This would make the main focal points difficult to find or disappear altogether

  3. Using only one color would again make understanding the visual a time-consuming affair. Or it might contradict the information being deduced thus making the visual redundant.

  4. To put it simply, when the visualization being consumed takes more than 10-15 mins to understand and deduce any actionable items. This happens mostly because of a wrong choice of visualization.

We hope this visualization selection guide helps you drive your business in a much-organized manner. For more insights on Choosing the right visualization please feel free to get in touch with us through sales@bistasolutions.com , you can also write your feedback to tell us what you think about this blog at feedback@bistasolutions.com.

New features in Power BI

  • by bista-admin
  • Feb 16, 2017
  • 0
  • Category:

“Strive for continuous improvement, instead of perfection” – Kim Collins

We at Bista Solution have always believed and practiced the above quote and partnered with similar technologies over the time to provide the best in class deliveries to our Clients. One of the similar technologies i.e. Microsoft Power BI, which has evolved over the time and has helped us in providing advanced reporting features to our Clients. So, this time we have decided to highlight some of those new features which helped us well in our BI implementations.Let’s get started .

Power BI Feature # 1: Drop down Slicer

Handling slicer is one of the best features which enables the end user to slice and dice the report on a real time scenario. But over the time it was observed, In the case of large data the list was huge which consumed more space on the report and managing the same was a bit difficult. With the help of drop down slicer feature,  space management on the report was efficiently handled and the users have the flexibility to select only the options they want to make use of.

new2

 

Power BI Feature # 2: Data Labels Orientation

With this feature, we can change the orientation of the data labels texts

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i.e.from horizontal to vertical which is useful in designing compact visuals and columns.

Power BI Feature # 3: Table Header Wrap

When dealing with matrix or table visuals, we usually encounter scenarios where the column header was large and due to the table width, it always appeared partial and again to view it completely it was required to be resized

image01

every time by the user. With the help of the Table Header Wrap feature, the long text gets wrapped and it’s visible completely no matter how wide or short the table or matrix is.

Power BI Feature # 4: Aggregation in String and Date Columns

This feature helps in displaying the dates from earliest or latest option from the visuals and in the case of strings we can change the aggregation to first or the last in the same menu.

 

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Power BI Feature # 5: Snap to Grid

One of the most difficult challenges at times developers face is about aligning all the visuals well on the report Canvas. Also from a presentation point of view, even the end users expect a better and clean reporting visuals. So, to make this job easier, Snap to Grid feature, comes to the rescue. With this feature, the complete canvas is divided into grid lines with proper coordinates so that all the visuals are lined up properly with minimum efforts.

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Power BI Feature # 6: Matrix Conditional Formatting

As the name suggests, this Power BI feature helps in formatting data on the conditional basis, especially in a situation where we need to represent certain

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values with a particular color code based on certain conditions.

 

Power BI Feature # 7: Date Slicer

This new feature of Power BI helps in selecting date range from the slicers with options for Start and End date. This usually helps in fetching the data from certain date range which makes it more interactive to the user and gives more refined results from your data.

These are some of the updates of Power BI Features that we have implemented for our clients. As there are monthly updates which keep releasing we will keep sharing all our experiences in using the Power BI features from time to time. Do let us know your feedback on feedback@bistasolutions.com or you can reach out to us at sales@bistasolutions.com

Predictive Analytics

predective analysic

Introduction

Today we live with an exponentially ever-growing sea of data. To handle it safely, we use analytics. Without analytics, we would simply drown into the sea of data, not aware what happened or what coming next, the size and source of the data are just expanding unexpectedly. One of the most important branches of analytics is predictive analytics, it has made some sense of storing data. 

Are you aware of predictive analytics technology? If not, get ready. It is the next big revolutionary thing that will propel the world beyond the imagination—and in many respects, it is already in between us. Predictive analytics is the use of statistics, machine learning, data mining, and modeling to analyze current and historical facts to make predictions about future events.

Important Values of Predictive Analytics

Establishment of Effective Customer Relationship- “now you know your customers”

Using the predictive analytics, you can meet your customer needs and target the most benefit cable customers, how you can do this? Here we answer the doubts which are coming into your mind, how predictive analytics helps you to establish a relationship with the customers and helps you to grow your business? Is such a thing even possible? Or Such things have any existence or not?

The predictive analytics (predictions) doesn’t have to be all that accurate to grow or improve your business or to target the profitable customers. “This all about numbers and it’s a number game as always” and predictive analytics used to play it as well and it translates it’s a high return and doesn’t depend on highly accurate predictions      

Let’s understand it in other ways, suppose if predictive analytics identifies 3 times more likely to defect than average customer segments, you can target those segments accordingly. If your overall defection rate is 5%, the segment we’ve discovered has a higher detection rate of 15%, so, in this case, we’re not actually confident in predicting whether any one individual customer will defect or what, the analysis identifying this kind of customer segment which is predicted in aggregate which behaves differently compared to your overall customer base. And now by knowing the different segments of your customers you can understand them more as compared to the past, you will come to know their expectations their needs and have the better relationship by offering them your evaluated services.

Now, the very next question is coming into your mind is how these valuable customer segments are discovered? To get the answer to this question I would suggest you uncover your computer and sooner or later you may get the answer, I must be joking! Yes, I am. This is the magic of “predictive analytics”, It works on past historical data with a huge number of statistical models which leads to delivers magical results and by that your business decision more accurate and healthy in prospects.

The table below lists predictive analytics business applications.

Business application: What is predicted:
Customer retention customer defection/churn/attrition
Direct marketing customer response
Product recommendations what each customer wants/likes
Credit scoring debtor risk
Insurance pricing and selection applicant response, insured risk

And there are many more applications of predictive analytics, including collections, supply chain optimization, human resource decision support for recruitment and human capital retention, and market research survey analysis.

Offering New Services and Products 

Somehow If we could predict the future, we would be able to read the minds of our customers as well and will come to know exactly what they wanted.  The closest we can get to this supernatural ability is utilizing predictive analytics to tap into the hidden information that resides into a big data. 

To understand this, we have an example of insurance sector which is widely using this technology and changing their offerings, launching policies almost every day, based on their analysis.  

     Risk Management- “we are here to care…. leave it on us”

A famous philosophy works in Risk Management is to “work smarter, not harder”, but How? By implementing the most efficient tools like as Predictive Analytics with your existing system. 

The predictive analytics playing the vital role in mitigating the risk in all sectors which are associated with our day to day life, let us take an example to understand it in depth.

Let’s have an example of the bank, as we know the banking sector is very risky and hard to handle or predict the risk based on your experience or intuition, the predictive analytics allows you to embed advanced fraud detection models directly into your database applications. By introducing predictive analytics into your database or transactional systems, a percentage of fraudulent transactions can be detected at the time they are being processed and before payment. The result is a significant reduction in costs associated with fraud both within the organization and to the customer.

predictive analysis

Before the predictive analytics, we were dependent on our intuition and domain training, and that was not enough to stop the fraudulent activity after introducing the predictive analytics we are more powerful and efficient to deal with it in several ways.

Why do You need to Trust on Predictive Analytics to Improve Risk Management?

The “Predictive Analytics” plays a vital role in risk reduction in various fields such as insurance and healthcare industries. As per the report of “Predictive Solutions publication”, the predictive modeling has high accuracy levels between 80 percent and having accuracy about 97 percent in predicting future worksite injuries based on existing data. The use of predictive analytics introduces a very professional way of safety and prevention and it leads to risk reduction. 

Different Areas Where We Can Have Predictive Analytics Risk Management:

  • Sales and Marketing.
  • Fraud: Fraud is one of the measuring areas where we must have predictive analytics to reduce risk and covers healthcare fraud, credit card fraud and much more.
  • Insurance: It’s a sector where Predictive Analytics has its own importance.
  • Healthcare Industries. 

      Inventory Optimization – “no more over or under stocking”

As we all know, Predictive analytics uses various techniques to analyze past historical data to make predictions about future. One of the major areas which we can deal by applying the technologies and analysis is supply chain. The biggest challenge that the companies facing is accurate demand forecasting or to manage their inventory. This can be solved up to a certain level if technology and analysis can help to determine customer’s usage and buying nature. 

Let’s understand it with a simple example, in any product based company there needs to manage their supply chain and it has a different unique level of a supply chain, that is shown in fig. 

Of course, the secret to good forecasting is to keep doing it over and over until you get it right or closer to your expectations.  Forecasts should be continuously updated and incorporate time frames that may be several years out (to anticipate the obsolescence issues), mid-term forecasts that drive our financial investments in plants and new products, and near-term forecasts that drive actual production and procurement.

supply chain

 

How is the Predictive Analytics Helping Hand to Managing Supply Chain?

  • Demand Analytics – How is my forecast leading with actual data.
      • Detailed demand forecasting at the different point of sale.
      • Tune the forecast with integration of promotional events and holidays
  • Inventory Optimization – What stock should I hold and where should I position it.
      • Inventory budget optimization
      • Safety stock level recommendations
  • Key Things Which We Need to Avoid Before Working with Predictive Analytics:
  • Don’t confuse more data more insights:  The volume of data is not always proportional with the insights of the data and their values.
  • Don’t overestimate the ability to interpret the data:  Sometimes even the best data may afford only limited insight that doesn’t mean data is inappropriate.

Scope of Predictive Analytics – “Beyond the Predictions”

What Have We?

Predictive Analytics have already earned so much popularity in almost every sector like sales & marketing, e-commerce, insurance, banking, healthcare, CRM and much more due to its high level of accuracy and advances in computing technology, techniques used for analysis, advanced mathematical and statistical modeling.

  • Tomorrow’s Just a ‘Day’ away
  • Trend to monetizing data becomes, even more, ubiquities
  • A new area of data sources will come forward: Internet of Things, Wearables, Beacons, …
  • No need to have the expertise level of knowledge to handle the things.
  • Automatic Business Modellers will come in front.
  • Predictions of Business Decisions.
  • The Future of Prediction Analysis

The entire community of ANALYTICS is working every second of time to improve an accuracy of prediction and to improve future of prediction, sooner or later we will see the revolutionary change. Just Wait and Watch!!

Please feel free to reach us at sales@bistasolutions.com for any queries on odoo and its related modules.Also, you can write us through feedback@bistasolutions.com` and tell us how this information has helped you.

Odoo 10 MRP: Advanced Traceability

  • by bista-admin
  • Feb 02, 2017
  • 0
  • Category:

Introduction to odoo v10:

Odoo formerly known as OpenERP and before that tinyERP is a suite of enterprise management applications.Targeting companies of all sizes, the application suite includes billing, accounting, warehouse management, project management etc.

A few months ago odoo v10 is launched with its new features. It is a platform for which we could say ”All Applications Under One Roof”.

Odoo 10 MRP Features:

In the manufacturing module both in enterprise and community edition of odoo v10, Odoo has provided some ‘Extra Features’ such as maintenance, quality control, MPS (Master Production Schedule) etc. These features justify that Odoo 10 is a complete package for managing your manufacturing process effortlessly with no complexity of integration with different software to take care of the quality or the maintenance phases.Let’s first understand these features in detail one by one:

  • Odoo 10 production:–

    The major change which is made by odoo 10 to the module “Production” is that now it has MPS (Master Production Schedule).This is used to know the no.of items that are to be produced, the planned inventories of the raw material, finished products etc.

It also plays an important role in the balancing of demand with the supply i.e satisfaction of customers.

manufacturing

  • Odoo 10 PLM: –

  • This module is there for supporting routings, and nomenclatures. Basically, PLM application allows us to-

  • Make manufacturing order route revision

  • Generate alerts for changes in BoM’s as well as routes in MO(Manufacturing Order).

  • Generate multi-level approvals from higher authorities for any revision before making changes in MO.

plm

  • Advanced quality control procedures.

  • Rejection flow for rejected products.

  • Masters for quality defined operations.

  • Flow for quality approval

maintainence

Odoo 10 MRP: Traceability

Traceability is a term which is used for checking the history of products and lots.In the products from view also there is a smart button of ‘Traceability’ which will always show history regarding how much products comes/goes out/inventory and all.

Lots: OpenERP online can also manage product lots.Two types of lots are defined-

  • Serial numbers: These are represented by a unique product or an assembly of identical products.They are usually identified by barcodes stuck on the products.The batch of products can be marked with a supplier number or your own company numbers.

  • Tracking numbers: These are logistical lots to identify the container for a set of products.

The double entry management in odoo ERP online enables you to run advanced traceability(upstream and downstream traceability)

Upstream Traceability: It runs from the raw materials received from the supplier and follows the chain to finished products delivered to customers.

Downstream Traceability: It follows the product in the other direction from customer to different suppliers of raw material.

maintainence2

We can also find this option of ‘Traceability’ in the products form view

 sales

sales2

This was all about odoo Mrp Traceability, we hope this short snippet would have helped you in getting some insights about odoo.

Stay tuned for more information on odoo.

Please feel free to reach us at sales@bistasolutions.com for any queries on odoo and its related modules.Also, you can write us through feedback@bistasolutions.com and tell us how this information has helped you.

Odoo Website Builder: Benefits & Features

Odoo Website Builder cover

Introduction:

Odoo website builder is an easy and customizable application through which customers can create their own website and can edit anything online. There is no technical knowledge required for creating a website.

Features of odoo website builder:

1. Attract new visitors efficiently

2. Designer Templates

3. Edit anything Inline

4. Multi Languages Made Easy

5. Professional Odoo website templates

Let’s understand each one of them one by one:

  • Attract new visitors efficiently:

Whenever any new viewer visits the website he/she is automatically attracted by the various new features of the website builder. The promote tool suggests keywords according to google’s most searched terms. Search engine optimization tools are ready to use with no configuration required.

  • Designer Templates:

Templates are awesome and easy to design. There is no need to create and develop new pages, themes or building blocks but you can simply use bootstrap CSS.

  • Edit Anything Inline:

Odoo’s unique technique of ‘edit inline approach’ makes website creation surprisingly easy with no more backend required and can just click anywhere to change the context

  • Multi Languages Made Easy:

You can get your website translated into multiple languages with no efforts. Odoo propagates translations automatically across pages, following what you edit on the master page.You can update any part of your website and the translated versions are pushed within few hours.

  • Professional Themes:

With Odoo website builder, you can design your custom theme or you can also use predefined Odoo website templates to customize the look of the website. You can just in one click change the theme of the entire website.

Odoo E-commerce Website

Odoo ecommerce website is just like modern open source online store through which you as the owner can create custom designs for product pages to showcase one’s business in a unique way. You can even add product attributes such as color, size and style to keep product lines easy to navigate. You as the owner can also edit product pages with ease so that the product information is displayed in the way you want to see it.

With an integrated e-commerce platform, inventory and sales can also be maintained via automatic stock adjustments and reporting. Dedicated customer portals help to keep customer data organised with order tracking and claims allowing customers to download invoices and delivery orders as well as view pending shipments from a single location.

Features of Odoo website builder:

Basic Features:

  • Design an attractive homepage

  • Create a blog

  • Set up a webshop (ecommerce)

Let’s have a look at what these features actually do in-depth

  • Designing Attractive homepage

  • General presentation of Odoo website builder

  • Edit menu and structure your pages.

  • Use drag and drop building blocks

  • Resizing and positioning elements on your page.

  • Blogging

  • Install the blog app

  • Activate more blog functions and edit our first blog post.

Odoo website builder blogSetting up workshop:

  • Install e-commerce application

  • Manage your products

  • Online sales are visible in our system

  • Entirely integrated with our odoo system i.e managing sales, warehouse and invoicing as usual.

Odoo website builder online shop

This was all about odoo website builder, we hope this short snippet would have helped you in getting some insights about odoo.

Stay tuned for more information on odoo.

Please feel free to reach us at sales@bistasolutions.com for any queries on odoo and its related modules.Also you can write us through feedback@bistasolutions.com and tell us how this information has helped you.

Odoo Mobile Applications

  • by bista-admin
  • Jan 25, 2017
  • 0
  • Category:

ERP often covers every part of business operations from inventory, HR to CRM, until the office desktop became the sole domain of ERP, the only spot where a massive amount of data and large complex business functionality would fit.

All of that is shifting with the introduction of enterprise mobility. Businesses can now see that confining data and capabilities to the office is not the best way to move forward in an increasingly agile business world where mobile ERP capabilities exist. The best way to progress into a new reality is to develop enterprise mobile apps that can provide functionality while on the move. Having mobile access to business capabilities brings a pronounced benefit to the enterprise. Here are some of the advantages that will help you see why a company needs a mobile app.

  • Mobile Apps streamline and simplify cumbersome and monotonous tasks. It makes more proactive and stronger bonds with vendors, customers, and employees.
  • Businesses who employ ERP Mobile Apps have an advantage over their competitors. Customers today expect businesses to employ cutting-edge technology to deliver timely, high-quality services at the lowest possible cost.
  • Mobile apps reduce downtime and allow the team to be more productive with their time.
  • Mobile Apps consolidate information from many departments into a single database, allowing team members to work more effectively.
  • ERP Mobile Apps make it easier and more convenient to enter critical data accurately while on the job.
  • Mobile Apps make it easier to keep track of suppliers and inventory data at your fingertips, streamlining the entire supply chain.
  • Mobile apps assist in making the proper data-driven decisions from anywhere in the world by allowing speedier verification.
  • Mobile Apps facilitate intra-departmental communication, resulting in increased engagement.

Odoo Mobile app:

We are very well aware that Odoo is the future of business solutions due to its extensive features and flexibility to build modules to match the specific needs of each enterprise. With its Mobile applications, Odoo offers a spectrum of mobility options. It’s available in the Apple and Google App Stores, and it follows enterprise-level security and distribution best practices.

Odoo Mobile app is flexible and can streamline the business process with no compromise on operational efficiency. By providing leadership and employees with the tools they need to flourish, the Odoo mobile app solves several challenges.

Odoo Mobile app development can help you expand your business.

Odoo Mobile ERP Apps 

Some of the Odoo Mobile Apps’ Features:

  1. Easy Setup- Only one-time setup is required- Setup and configure your app with the Odoo backend once and you’re ready to go.
  2. Enable Offline Access- Odoo Mobile apps include offline capability, which allows users to save performed activities and sync them with Odoo ERP after the connection is restored. It enables the user to complete the activity sequentially even when there is a connectivity issue.
  3. Seamless Integration- Odoo Mobile apps offer unique features, such as fingerprint sensors, cameras, location detection, and transaction history. Simply submit the transaction receipt, and the ERP will use artificial intelligence to record it as a cost.
  4.  Automatic Synchronization- Changes made in the Odoo Mobile app are instantly updated and synchronized with the server, eliminating the need to update manually.
  5. Extended Functionality- The Odoo Mobile App makes it simple to add new features and capabilities to the Odoo ERP platform. With the assistance of a developer, it is quite simple to customize features in the Odoo mobile app.
  6. Compatible- Odoo’s mobile app is fully compatible and optimized for both iOS and Android devices.
  7. Real-Time data- Odoo Mobile app provides real-time information such as push notifications, real-time feed, instant messaging, and tracking live order status. When your company combines Odoo ERP with its mobile applications, you have limitless access to required and accurately updated data and information in real-time, making it incredibly easy to obtain crucial information at any time.

Why is Bista the best option for your Odoo Mobile App development?

Experience- For a long period, our firm has assisted countless businesses from various sectors. This allowed us to build expertise in everything related to Odoo and understand a business’s specific requirements for crafting the best solution for your firm.

Expertise- Before becoming a member of our team of experts, every Odoo ERP specialist has to go through a rigorous screening and training process. This gives us the confidence to do what we’re doing.

Support- Every business needs experienced help with Odoo ERP implementation, especially with the mobile app development function. Our Odoo ERP support team is always accessible to help you with any issues you may have. Always enlist the help of a professional!

Using Odoo Mobile apps can provide several benefits to your firm. With the help of Odoo mobile applications, your employees will be able to handle all of the essential business information from a mobile device with ease. It allows you to receive all of your company information on the move. It aids in the mobilization of information across several places, resulting in increased corporate agility. It’s up to you to decide whether you want a full-fledged Odoo mobile ERP or a standalone app that integrates with your main ERP system. Contact Us for more information.