7 Things About BPM Tool Your Boss Wants To Know

7-things-about-bpm-tool

1. BPM tools are not that risky:

BPM is a tool, which needs certain cost for implementation and, if handled well, can be used to achieve demonstrable benefits. BPM may not be the solution for all the business problems, but is definitely remedy for most of the problems.

Many organisations have considered or even begun enterprise-wide BPM programmes to tie all business processes together using a single methodology and software tool support. Business Process Management (BPM) tool can help us gain a competitive edge.

BPM tools are not risky; in fact it helps to reduce risk level in business process.

2. Process Automation:

Business process management (BPM) tool enables automation of activities or services that accomplish a specific function or workflow. BPM enables integration of workflow tasks with back-end systems, thus removing the need for manual work.

The wish to reduce cost or free up resources through automation of specific processes is fulfilled by BPM tool.

Automation is the driver behind BPM to reduce cost.

3. Enable continuous process improvement:

BPM is not a single time activity, but is a continuous activity of process optimisation. It continuously improves efficiency of the process and also adapts the changes in the business environment.

BPM allows processes and rules to be optimized, monitored and re-visited easily. It help us know what is process speed, process time-lags, process-bottle necks, process errors etc., which are crucial points for analysing process improvement.

BPM is the key to achieve constant process improvement.

4. BPM reduces costs:

Now-a-days mostly all the organizational leaders are looking for the ways to reduce investment. BPM tool handles most of the business decisions without human intervention, reducing labour costs, development cost, etc. BPM tool improves process time, quality and transparency, thus reducing risk of compliance failure which in turn will reduce cost of rectifying failure.

BPM Tool helps to reduces costs and redundancies.

5. BPM tool helps to increase productivity:

Increase in productivity increases company growth, if all the above points are put together in a correct manner it will help to increase productivity. BPM tool ensures that all the business process implementation is done effectively, thus increasing the productivity of the business. The goal of BPA is not only to automate business processes, but also to improve business productivity and profitability.

Productivity means Profitability.

6. Decrease Risk and Increase Agility:

BPM may also be used to help reduce operational risk. BPM tools are more flexible to adapt changes in the business process automatically, rather than having a risk of manually make changes in the business process which might lead to chaos or even ruin whole process. BPM tool handles most of the business intelligent rules and help reduce corporate risks.

Those business processes which are continuous and long term process, if they are built with BPM platform, it will help organization become more agile. Greater process transparency also provides greater agility to react faster to changes in the business environment.

Reducing risk and increasing agility are the key agenda for organization to grow faster than its competitors.

7. Allows you to do more with less:

The BPM tools also help in doing more with less effort. BPM tool helps employees to handle multiple tasks at a same time through single application in place. Because of which it helps in recognizing team’s talent, efficient time management and lets you put more effort toward achieving your organization’s goals. BPM starts with the documentation and formalization of business tasks and rules, thus reducing dependence on few key employees.

Work smarter, not harder.

Effective Data Modelling and Data Quality techniques

Effective Data Modelling

1. What is Data Modelling?

“The process converting unstructured, scattered and repetitive data into structured, meaningful and normalized data”.

2. Need of Data Modelling

a. Need to decrease redundancy of data and established the relation between data.
b. Need to Stored data in the normalized form.
c. Need to implement structured database management system.
d. Need to take backup and restore data when the system had the breakdown.
e. Need to operate data in a secured way.

3. Importance of Data Modelling in business.

Using data model we avoid repetition of data and stored in normalized form. Also, we can create a process for taking backup and restoring data. As well as we are making a database in secure and unbreakable mode.

4. What is Data Quality?

“The parameters for measuring nature of data, behavior of data, the fitness of data for given purpose of data.”

5. Need of Data Quality

Now a days, incorrect data and inconsistency of data is a problem as well. Eliminating data shadow systems and centralizing data in a warehouse is one of the solutions to the company can take to ensure data consistency. Also, lack enough time to deal with large-scale data-cleansing software. As well as Security concerns over sharing information, giving an application access to systems, and effects on legacy systems.

6. Data Quality Parameters

a. Accuracy: Data Accuracy is the parameter of data quality that deals with the data being exact when describing the physical characteristics of products
b. Completeness: Ensure that transactions are complete and valid. Validate data that were input, and edit or send back for correction as close to the point of origination as possible.
c. Update Status: Properly update relational data into the respective table in the database.
d. Relevance: Closeness between data consumer need and data provider output.
e. Consistency: Synchronization of data objects across the company.

7. Data Quality Strategy (Techniques) Outline

It’s Consist of Problem Definition, Data Issues Identification, Analysis, and Improvement. See Fig 7.1

1. Problem Identification

a. Review known Problems.

b. The scope of Problems.

c. Identify Problem Objectives.

d. Identify Experts.

e. Identify Documentation.

2. Identify Data Issues

a. Identify and Collect Data.

b. Flag Suspect Data.

c. Establish Quality Criteria.

d. Establish Metrics.

e. Perform High-Level Quality Assessment.

3. Analysis

a. Apply Quality Criteria.

b. Identify Conformance Issues.

c. Assess Impacts.

d. Provide Recommendations.

e. Prioritize Conformance Issues.

f. Validate Conformance Issues.

4. Improvement
a. Select Recommendations.

b. Implements Recommendations.

c. Document Improvements.

d. Monitor Improvements.

Top Business Intelligence blogs to follow

Top Business Intelligence blogs to follow

1 – DBTA – Database Trends and Applications

DBTA provides up to date information on latest database technology and trends. It covers various topics right from big data, BI and Analytics, data integration, cloud and many more.

2 – IT world business intelligence

Covers wide range of topics on BI software, trends, surveys etc

3 – TWDI – The data warehousing institute

A top source for data warehousing, analytics, and business intelligence related news, articles, research. The blog posts provide solution and news from renowned BI insiders and experts

4 – Art of Business Intelligence

The Art of Business Intelligence blog is the brainchild of Christian Screen, a Business Intelligence evangelist with a wealth of experience in technologies ranging from low-level programming, e-commerce, Data Warehousing, Enterprise Performance Management, and of course, Business Intelligence

5 – Forrester

Forrester Research is a leading technology research firm delivering high-quality, research-based resources. The company provides ample resources via blogs, white papers, research analysis, and more, with content from the company’s experienced analysts. The Business Intelligence blog at Forrester is a robust collection of perspectives from experienced professionals such as Boris Evelson, Martha Bennett, Holger Kisker, and other analysts with in-depth insights on Business Intelligence and related areas of expertise.

Top 5 BI and Analytics Trends in 2016

 

business intelligence icons

 

Self Service BI – More organizations will adopt BI tools and solutions that give power to business users right on their hands. Businesses no longer want to be dependent on IT department to share the data insights. Business users will be more willing to learn BI tools like Tableau.

 

 

bigstock2

 

Data Visualization – Presenting data in interactive visualizations will be the common language for analysts and the management. People are visualizing their data to uncover insights, explore questions and share stories

 

 

Man Machine Integration Design and Analytics System

 

Advance Analytics Integration – Integration of BI-Analytics tools with statistical tools like R will be more prominent in 2016. Organizations want a deeper, more insightful analytics experience and let users apply statistic, ask series of questions.

 

 

Dig into IoT data– As Internet of Things becomes more prevalent in 2016, organizations will look for tools that allow users to explore data and share their findings.

 

BI and Analytics

 

Business of Algorithms – Algorithms are poised to play a major role in the analytics industry. Making sense of all the data about how customer behave and what insights it tells to organization will require algorithms to define business processes and create differential customer experience

 

 

Conclusion :

 

Bista Analytics, an offering of Bista Solutions, a cutting-edge BI consulting organization, not only integrates data from across your enterprise, it also provides self-service reporting and analysis at your fingertips. Decision makers spend less time looking for answers and more time driving strategic decisions. Our BI consultancy services help our clients in Data Integration, Data Warehouse Management, Enterprise Reporting and through the various aspects of Analytics.

 

We Hope this snippet on BI-Trends 2016 will help you out in selecting the right BI tool for your business . For more insights on Implementation of Business Intelligence to get your performance and growth reports at your finger tips you can get in touch with us through sales@bistasolutions.com . You can also write your feedback about this blog at feedback@bistasolutions.com

Why Data Visualization Important for your Business

Data Visualization business

1 – You Need Data Visualization business: To answer business questions

You can type in a question to get an excellent visual of relations and trends of your data. Interactive visualizations lets you drill down to understand the details or easily add more data for a new or different perspective.Data visualization or data visualisation is viewed by many disciplines as a modern equivalent of visual communication. It involves the creation and study of the visual representation of data, meaning “information that has been abstracted in some schematic form, including attributes or variables for the units of information”.data-visualization-to-answer-business-question1

2 – You Need Data Visualization: To tell a compelling story

Building a dashboard or an info graphic and express your story. Select your template and put the data you want your audience to understand. A simple drag and drop experience to the user creates beautiful visuals that will display your data to its best advantage.

data-visualization-to-tell-compelling-story

 

3 – You Need Data Visualization: To analyze trusted data

Data for analytics can come in various forms. Now there is a place where one can make sure it is synchronized, whether you are investigating, predicting or organizing. Which means you can trust what you’re using for your insights. Visualization helps us to focus only on the data that is important.

data-visualization-to-analyz-data

Keys To Successful ERP Implementation

Keys to Successful ERP Implementation

Are you planning to implement an Enterprise Resource Planning (ERP) system for your business? You must be excited about the benefits it brings. These include making processes easier, boosting efficiency and productivity, and improving decision-making.

Implementing enterprise resource planning (ERP) can significantly transform your company. In this blog, we will look at these important keys. We will also share tips on how to make the implementation process easier. The first thing to understand about an ERP system implementation is what ERP is: enterprise resource planning.

What is ERP Implementation?

An ERP implementation includes all the steps required for an organization to use an ERP system. They include planning, configuring, training, and pre- and post-go-live actions. During the implementation, we make many important decisions. These choices affect how well the ERP system meets the organization’s needs.

No matter which ERP software you choose, the success of the system depends on how well you implement it. This includes user acceptance, process integration, data quality, and how well it fits the business.

Why Choose an ERP System?

Choosing an enterprise resource planning (ERP) system is only the beginning. From early preparation to after migration, using best practices for ERP helps companies avoid problems. This approach helps them save money and reduce risks.

Ninety-five percent of companies improved their business processes by using an ERP system. Now, it’s time for your organization to make a change. An organization can boost its Return on Investment (ROI) and improve efficiency by using this new system. This system helps them use the data they have collected to make smart business decisions. To help you, here are some key considerations to ensure your ERP implementation is successful.

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Key ERP Implementation Best Practices

  1. Clear Objectives and Vision

Ensure that there is a clear understanding of what you want to achieve with the ERP system. ERP system must align with the overall business strategy, enhancing specific business processes.

  1. Strong Executive Support

Obtain backing from top management, as their involvement is essential for decision-making, funding, and managing internal resistance.

  1. Thorough Requirement Gathering

Document current business processes, pain points, and inefficiencies. Engage key stakeholders and end-users to ensure their needs shape the system’s design.

  1. Choosing the Right ERP System

Assess multiple ERP solutions based on factors such as functionality, scalability, cost, and industry-specific features. Decide the balance between customizing the ERP to fit your specific needs.

  1. Data Migration and Accuracy

Ensure that legacy data is clean, accurate, and complete before migrating it to the new system. Properly map the legacy data to ensure smooth migration and minimize data discrepancies.

  1. Change Management

Provide comprehensive training to all users to minimize resistance. Continuously communicate the changes to all stakeholders, fostering a positive attitude toward the new system.

  1. Testing and Quality Assurance

Allow end-users to test the system and provide feedback to ensure it meets their needs and is user-friendly. Run the system in a controlled environment to identify any remaining issues.

  1. Post-Implementation Support

Ensure there is adequate support from the ERP vendor or internal IT team for troubleshooting and resolving any post-go-live issues. Make necessary updates as the business evolves.

  1. Monitoring and Measurement

Establish KPIs to measure the ERP system’s impact on business processes. Continuously monitor these metrics and adjust processes, as needed to maximize the system’s value.

  1. Budget Management

Plan for all phases of the ERP implementation—initial setup, training, data migration, and post-implementation support. Maintain a contingency budget for unforeseen challenges.

Six Main ERP Implementation Phases

Planning

Project objectives, important stakeholders, a project team, and a thorough implementation plan are all designed during this stage.

System Design

During this stage, the ERP system is configured to meet the specific needs of the organization. System design often involves collaboration between the implementation team and ERP consultants or vendors.

Development

In this stage, any necessary customizations or enhancements to the ERP system are developed. This may include writing code, creating reports, designing user interfaces, or building integrations with other software applications.

Testing

The ERP system is thoroughly tested to make sure it satisfies the needs of the company and performs as intended after it has been developed and configured.

Training and Deployment

The deployment of the ERP system into production and end-user training are combined in this phase. Instruction can take many forms, including workshops with real people, user guides, online courses, and in-person training.

Go-Live and Support

The final stage of ERP implementation involves deploying the system into production and transitioning from the old systems to the new ones. This may involve data migration, system cutover, and user training.

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How To Measure the Success of ERP Implementation

ERP implementation effectiveness must be measured by organizations to determine whether the system is providing the expected benefits and to identify areas that require improvement. These are some key aspects that businesses can monitor to assess how well their ERP implementation is going.

Cost Savings

Check the costs associated with their ERP system, including the cost of the software, implementation, and ongoing maintenance, and compare them to the cost savings generated by the system.

Process Improvements

Businesses can monitor how the ERP system has improved important business operations like financial reporting, inventory control, and customer service.

Data Accuracy

Monitor and compare the accuracy of data manually entered before ERP system implementation with data entered into the system, including sales, inventory, and financial data.

User Adoption

Organizations can track the rate of employee adoption of the ERP system, including the number of users logging in, the number of transactions processed, and the number of support requests.

Return On Investment (ROI)

Measure the system’s benefits, such as cost savings, process enhancements, and data accuracy, and compare them to the system’s costs to determine the ERP system’s return on investment.

Guaranteed ERP Project Success With Bista Solutions

Apps Associates ERP Solutions ensures that the following critical components are executed thoroughly and properly:

  • Well-defined goals and objectives
  • Executing a rigorous, phased approach
  • Prioritizing testing, training, and change management
  • Measuring post-project results and benefit
  • Supportive post-go-live support and sustainability

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Critical Failure Factors You Must Consider To Avoid ERP Failure

The analysis of the critical failure factors of the ERP implementation process is critical because it is believed that knowing about potential future problems is the best way to prevent them. These factors will better inform stakeholders to avoid similar scenarios, further reducing the ERP project failure rate.

Inadequate Knowledge: Businesses looking to upgrade or implement an ERP system on their own are more likely to lack adequate ERP knowledge. Failure can be avoided by seeking an ERP consultation from a qualified consultant.

Insufficient User Training: Insufficient end-user training may lead to serious consequences for organizations. Failing to provide them with adequate training will continue to demotivate users from accepting the change.

Extensive Degree Of Customization: ERPs are not one-size-fits-all. Adding or removing modules from the system is crucial; however, problems will arise as soon as drastic changes are made.

Reluctance to Change: A common cause of ERP failures is the business’s reluctance to change the way it operates. For a successful implementation, all departments must believe in the benefits of such a system and adopt and use it to its full potential.

Start Your ERP Implementation Process With Bista Solutions

Is your business ready for its ERP Implementation journey? By focusing on these essential steps, you’ll be well-prepared for successful implementation and a smooth transition into the next phase of your company’s growth.

Bista Solutions is an Odoo Gold Partner and has been awarded the prestigious title of Best Odoo Partner North America consecutively for 4 years (2024, 2023, 2022, 2021) and 7 years (2018, 2016 & 2015) in total. We know how to ensure successful processes and design solutions that boost operational efficiency, productivity, and growth.

Read more about our ERP Implementation Services here and Contact Us to start your ERP implementation journey.

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Master Data Management Best Practices

Master Data Management Best Practices
  • by bista-admin
  • Mar 09, 2016
  • 0
  • Category:

In this business world, We manage people, inventory, and time. All these things are essential for business but the business that doesn’t care about their data can fall in big trouble after a few times when their business goes ahead. Because data grows unexpectedly and if your data is not accurate, not in proper understanding format then you are going to make bad decisions, inaccurate reports.

Hundreds of company in this corporate world is following proper data management by putting their data in appropriate place. Hence to achieve this we should start with most important information about data.

1. How Master Data can provide efficiency to a business:-

A master data provides decision-making process better to carry your business ahead in right direction. For example, if I am going to buy certain product for business before that I will check my master data that will this be beneficial for me by looking at my master data product chart. After observing my master data I can decide in how much quantity which product I should buy.

2.Collection of data from different sources:-

We collect data from different sources and put that into the data warehouse. But to make proper and accurate decision our data should be in structured format .The redundant data should not be present in our database. In this case industries requires Business Intelligence developer who can retrieve the data from different sources and can provide report on their daily business activities by putting their data in structured format.

3.The role of data model and data container in MDM:-

  • Data container: It holds the data that we manage for processing.
  • Data Model: A model which helps in validating the data and defines data type of attributes .The data model helps finding the relationships of data like customer to account, customer to product and their location. This data model helps in finding the schema of entity.

4.Fuzzy search:-

Mdm provides fuzzy search mechanism for searching the data in data container. It helps in processing the record efficiently. With the advent of this user need not to type exact word in search bar of data.

5.Handling of data duplication:-

MDM uses data deduplication algorithm to put consistency in data.

6.Data Auditing:-

MDM puts the track of all dml operation performed on it. This is achieved by putting the record of user and action performed by them with the timestamp in audit table.

7.Data Integration:-

MDM provides easy to integrate with third party application and business process. This provides the features of data to process in batch mode.

8.Customization:-

MDM provides customization without affecting the performance to meet the customer requirement by following agile methodology. This leads to flexible data model and scalable architecture.

The Worst Advice we’ve ever heard about Enterprise Resource

Enterprise Resource

As a Business owner or a manager, you may have got many business suggestions/ advice from friends, consultants and other people around, but most of them would be misinformation and misconceptions which can hamper your business. Today ERP is acting as a backbone of every company. It has become an important aspect for all type of Businesses. In this article, we will be highlighting some major misconceptions which you may think about ERP system.

1. My company is too small to implement ERP, It is only for Large organizations:

This is one of the major misconceptions we hear a lot, many company owners think that they are not big enough to start with an ERP Solution. The objective of ERP software is to streamline and automate business processes across all the departments in an organization and this works with any size of companies.

ERP implementation becomes little expensive when it has to acquire huge IT infrastructure and IT staff for regular maintenance, but the latest cloud technology is a preferable solution for SME’s. Cloud ERP helps reduce the upfront cost by minimizing IT infrastructure cost and subscription fees to zero %. Moreover, Cloud ERP gives SME companies the ability to plan and execute their business as large organizations

              2. Take too long to Implement:

Another common misconception people have that most of the ERP implementation takes years to roll out. This myth is may be through the stories of large and complex implementation in the early ERP days.

Today most of the ERP systems are affordable and easy to implement, they are now more reliable and the earlier day’s issues are been transformed into advance ERP. Thus, these ERP’s systems can be implemented in reasonable time.

3. My Business Process is too difficult to convert into ERP System

This sense is a perception of difficulty; you may want your business processes should be adaptable along as company grows.

Instead of looking at how outdated business processes can be adaptable to a new phase, you need to look at the end results. Do your orders get fulfilled very fast and accurately? Are you’re shipping and payments are taken in a timely manner? ERP is beyond managing all of these business processes

                     4. ERP systems are very easy:

Another myth which people think about. “ERP software systems are very easy”. After implementing ERP system, you and your employees will have to put some time and efforts to learn the software. ERP software’s improves your business processes by increasing your business efficiency, but your employees still need to know how to use the software on daily basis. It is similar to learning new rules of the game before you start playing it.

5. Difficulty in Integrating with the devices/ other services:

A very common question people want to know before ERP implementation is that, “Will it be integrated with current – ongoing software’s”? And the answer is “Yes” Some flexible ERP solutions such as Odoo, NetSuite and Ramco can be easily integrated with any third party applications, software’s, and web portals. In fact, the data can be easily transferred from other software and portals to these ERP systems.

Importance of Data Visualization in Analytics

Importance of Data Visualization in Analytics

We are living in the era of big data where Data has been described as the raw material for business.

The volume of data used in businesses, industries, research organisation and technological development is massive and it continues to grow every day. The more data we collect and analyse, the more capable we become in making critical business decisions.

But with the massive expansion of data, It has becomes harder and harder for business to find key message from this universe of data.

That’s where the importance of data visualization comes in

Data Visualization is the presentation of data in graphical format. It helps people understand the significance of data by summarising and presenting huge amount of data in a simple and easy-to-understand format and helps communicate information clearly and effectively.

Data Visualization

Humans understand data better through pictures rather than by just reading numbers in rows and columns. So if the data is presented in a graphical format, you are more able to effectively ask and answer these important questions as “What are my Sales and Profit Nos.?”, “How much is my Sales growth? Which client of mine is giving me more business?”, Where am I losing? Blah blah ……..

Data visualisation helps the business achieve their goals in the following ways–

Help business convert their data into interactive graphs, dashboards or maps and embed them on their website or blog to engage their customers.

The BI tool connects easily to nearly any data sources, be it a corporate Data Warehouse or  Microsoft Excel or web-based data and helps the business with the insights by transforming data into visually appealing, interactive dashboards on the go.

The data visualisation tool supports a wide variety of tables, charts and graphs and grant the user the ability to visualise the same set of data in different ways thereby strives to create more attractive and informative dashboard every time.

I.e. there are many ways to present a simple Sales data – from a crosstab report to a Daily Sales Chart to Sales by Category by month. Different views answer different questions.

The tool also gives you the capability to look at data with a geographic element on a map and brings in an entirely new dimension in the analysis.

It helps the businesses make appropriate decisions by drilling into the data and finding the insights. I.e. Business can see the patterns, trends and correlations in the data being analysed that will tell them where they can cut cost, improve operational processes and thereby grow their business.

The Storytelling feature available in the data visualisation tool is an emerging art that shows that the data is just not about figures but it’s a way people see the world around them.

The tool allows user to organize and present massive data intuitively. This is very much important as otherwise the information is meaningless without a way to organize and present important findings from the data.

In this age of Globalisation, organisations are trying to expand their reach beyond geographical boundaries and there are required to make quick and informed decisions, this is best justified with data visualization tools.

 

Collaboration of Business Intelligence with Online Marketing

Business Intelligence is an elusive concept that never quite finds its way to the top of the priority list. When it comes to Business Intelligence and Online Marketing both have emerged to work hand in hand. As both are based on data to analyze and make decisions to improve investment gains and processes.

Business intelligence allows companies to craft their audience behaviour patterns across multiple forms of media considering the data collected across online platforms. Online advertising can usually generate faster results reports because they are generally based on impressions, clicks and online purchases as it basically deals with market research strategies. BI offers real-time analytics based on online marketing efforts.

COLABRATIVE

When offline events are promoted online, it gives a good insight into overall customer patterns which helps to increase event marketing effectiveness. A proper online event marketing campaign can trail a customer’s interaction from start to finish which includes tracking of how they found out about the event through metrics such as custom promo codes, referral sites and entrance pages. The chance to combine promotions and real-world events with online marketing campaigns is one of the best ways online marketing and business intelligence can work together.

Companies can use business intelligence to enhance the overall effectiveness of their website by examining the site performance, audience circulation, usage trends, visitor loyalty, search engine performance, content, product placement and overall visitor behaviour.

Suppose a company wants to launch an advertising campaign for a product. Among its current customers the company wish to post product information to those customers with a high probability of buying the product. The company holds data describing each of its previous customer’s behaviour and personal data. There are also customers who have previously bought the product for example in a trial period. The customers of the trial period are divided into two categories those who have purchased the product and those who have not. With this data, a prediction model can be created to predict the probability of buying the product. After that the probability of buying the product is predicted for all other customers. Only those customers with a higher probability are addressed.

When it comes to online marketing and business intelligence, taking big data and forming it into goals and then interpreting it back into actionable vision is one of the best ways to craft a promotional and advertising strategy that works and is continually optimized.