Demand Planning & Supply Management in NetSuite

Demand Planning & Supply Management in NetSuite
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  • May 11, 2016
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NetSuite Demand Planning & Supply Management

NetSuite Demand planning capabilities offer robust inventory management. Purchase management & can quickly measure the product demand based on historical data, sales forecasts, trends, and seasonal fluctuations. Demand planning in NetSuite enables you to different stock levels and helps you to streamline tasks.

Key Features of NetSuite Demanding Planning are as below:

  • Calculate demand plans to leverage historical data or sales forecasts.
  • Purchase or Work orders also can be generated automatically by calculating supply plans.
  • Represent how expected purchase and sales orders can influence future inventory levels.
  • Offers real-time visibility into item availability to determine projected ship dates for fulfilling customer orders.

Demand Plan: Flexibility in Forecasting

In NetSuite, your demand plan can be calculated, by selecting the historical data for a particular timeframe or by selecting future forecast data that is used in determining seasonal fluctuations in the inventory. In addition, when generating the demand plan, you can also incorporate preferred stock levels set on a company or a per-item basis. To have the flexibility to accurately project demand in a given area, projections are calculated on a per-location basis. After your demand plan is generated, you can review and edit the individual inventory needs for a particular period of the plan. For Example, you would want to increase the inventory level for June if you plan to run a promotional campaign that month.

NetSuite offers 4 methods of projection to analyze your stock demand:

  • Linear Regression:
    This method is based on Steady Linear Growth (SLG). This means the process uses previous demand to project future inventory needs to be based on SLG.
  • Moving Average:
     This method uses previous demand and calculates the overall average stock level required, it will then projects the future stock levels based on the pre-calculated overall average.
  • Seasonal Average:
    This method uses previous demand to inspect the seasonal trend of inventory flow, it will then project a similar seasonal trend for future stock levels.
  • Sales Forecast:
     When using NetSuite for your sales operations, this method will use forward-looking sales forecast data and then will project the inventory demand.

NetSuite offers a simplified way to create the demand plan for a particular Item for the desired location. Here is an instance of calculating the demand planning for the next 5 months for the Location: Brussels, the Item being: ParkerPen, using the previous 12 months’ historical data. The snapshot also indicates the quantity of the item to be ordered to meet the demand. Monthly Calculated Column shows the Demand forecast of the item whereas the Quantity column shows the actual demand of the Item (Quantity is generated by taking Back-Orders, Levels: Quantity available in Stock, and other such factors into consideration )

item-demand-plan

Supply Plan: Streamlined Replenishment

Once you have created demand plans, you can create individual supply plans for specified items.
For determining your supply plan, The NetSuite Demand Planning gives you a list of suggested, purchase orders or work orders depending on the parameters set in the item record, say for example ReOrder point and lead time.

If a purchase order is generated, the preferred vendor from the record of that particular item is used on the purchase order and when assembly items are involved, the supply plan factors a work order is generated for the sub-components for all of the build, and if required a purchase order will be generated for the raw material needed in all levels of a multi-part assembly, giving you the flexibility needed for even the most complex of demand planning environments. Additionally, the supply plan enables you to select which items to automatically calculate ordering requirements, providing flexibility when different methods might be required.

Generated Supply Plan Can have the Following 2 Cases.

Case 1: When the forecast of an Item meets with the Available Quantity of that Item
(A message is Generated Showing “Quantity On Hand is Above Safety Stock”)

item-supply-plan

Case 2: When the forecast of an Item do not meet the Available Quantity of that Item
(PO/WO is Recommended or Generated)

item-supply-plan-2

Gross Requirement Inquiry: Modeling InLevels:

NetSuite Demand Planning also provides inquiry, which allows you to represent how expected sales and purchase orders will influence future inventory levels. This feature is crucial while ensuring that you can represent different aspects of your business and analyze the impacts.

NetSuite provides the best class of inventory management feature, that is it maintains the correct amount of inventory to effectively meet anticipated demand and maintains the delicate balance of the “right” inventory. This eliminates the danger of investing too much capital in excess inventory or having too little inventory and minimizes the risk of failed sales or customer dissatisfaction because of the non-availability of stock.

gross-requirement-inquiry

The inquiry displays data retrieved from your account regarding all events that change the stock level of the selected item. The inquiry results show the date on which the Item is receipted from the supplier or the shipping date, the date of Order, the type of action by which the inventory level is affected, and the Quantity.

Generating reports for demand planning is very easy within NetSuite.
Here’s what one of the reports looks like:

We Hope the article helps the Netsuite users with Demand Planning and Supply Management modules.

For assistance with implementing NetSuite or other ERP software, get in touch! You can reach us using our contact form or email us at sales@bistasolutions.com.

Automated versus Manual Testing

Automated versus Manual Testing

Software Testing can be done in both Automation and Manual testing method, however which testing method to adapt totally depends on the what are the requirements of the project, what is the budget of the project, and which testing method will be best suited for that particular project.

Let’s get into the details of the two testing methodologies to understand which one to adapt in which situation

What defines an Automated Testing ?

Automated testing is the process in which a software (tool) is used to run tests that perform repeated and predefined actions, comparing the expected and actual outcomes of the application under test.

Pros of Automated Testing:

1. Runs tests quickly and effectively

No wonder Tools can be faster in Test execution than human users.Although the test design process in automation testing may take more time than in manual testing the former still has an advantage over manual testing.Testers only have to generate test scripts using test tool and script features . Test tools can execute the test scripts either one by one or a series of scripts simultaneously. Test Scripts can be reused on different versions of software. Test scripts can also be repeated with multiple sets of test data without user interaction.

2. Can be cost effective

Automation tools are expensive but they save your money in the long run. They not only do more than a human can in a given span of time but they also find defects quicker than humans. This allows QA team to react more quickly by saving both precious time and money.

Cons of Automated Testing:

1. Tools have limitations

While an automated test debugs your system quickly,saves time and money there are also some limitations to it. Automated tools cannot test for visual considerations like image colour or font size. Changes in these can only be detected by manual testing, this implies that not all testing can be done with automatic tools.

2. Automated checks can fail due to many factors.

If the application under test repeatedly fails due to some issues (except for genuine bugs), they automated checks can raise false alarms. Also automated tests can fails even when a minor UI change is implemented, or there are network issues which are may not be concerned to the application under test, but do affect the automated checks,or even a service is running down.

What defines Manual Testing ?

Manual Testing is a process in which manually testing is carried out on the application by testers in order to find flaws and defects .Manual testing requires a human (Tester) to act like a end user of the application and test all the features of the application to ensure the application behaves accordingly.

Pros of Manual Testing:

  • Manual testing is cost-efficient for tests that run only for a few times.

  • Manual testing of UIs is most effectively done by humans.

  • Only a human tester can test a software’s UX properly.

Cons of Manual Testing:

  • Manual testing does not support Load testing and performance testing.

  • Running test cases manually is very time consuming job.

  • In Manual testing, Regression Test cases are time consuming.

Evaluating and Selecting the Right BI Analytics Tool

BI Analytics Tool

A powerful process for evaluation and selection of the right Business Intelligence analytics tool starts from collecting and rank BI requirements, then proceeding further to utilizing business use cases to decide on the right tool category and style.

Your company can choose the analytics tool that suits your scenarios and use cases, fits well into your budget and can be easily implemented and integrated into the technology perspective. An important measure in the evaluation of Analytics tools is to understand and realise which of the features and functions are must-haves, nice-to-haves, and will-not-use.

1) Must-haves: This classification should be clear and explicit. If the product doesn’t have a particular feature or function that your scenario requires, it’s excluded from further consideration.Typical must-have features are like:  connection and access to various databases and file types, cleaning,arranging and filtering data, drilling down from outlined to more elaborated data, a Web-based client-user interface, print and export, visualizations techniques and safety and privacy of data.

2) Nice-to-haves: As the name goes “nice-to-have” these are the features that aren’t required, but they are usually the differentiators in selecting a product.They are like add-on’s and toppings.

3) Will-not-use: Some analytics tools can have a big list of features which your organisation might never need. For such cases, do not waste time checking those aspects of tools during the evaluation and selection process.

Qualities of a Good Agile Leader

Agile method of development

The agile method of development has been in practice for quite a lot of years and has now become the standard for most of all tech companies. But why is it that some organizations still struggle in Agile, While some others are big hits? Sometimes it’s really worse when a few teams assume they are Agile only because they practice agile concepts like frequent stand-ups and ex-post facto, but are miles away from being Agile in reality.

The agile method of development has been in practice for quite a lot of years and has now become the standard for most of all tech companies. But why is it that some organizations still struggle in Agile, While some others are big hits? Sometimes it’s really worse when a few teams assume they are Agile only because they practice agile concepts like frequent stand-ups and ex-post facto, but are miles away from being Agile in reality.

The agile method of development has been in practice for quite a lot of years and has now become the standard for most of all tech companies. But why is it that some organizations still struggle in Agile, While some others are big hits? Sometimes it’s really worse when a few teams assume they are Agile only because they practice agile concepts like frequent stand-ups and ex-post facto, but are miles away from being Agile in reality.

These differences are believed to be because of the leaders, from the Scrum Master, to the Delivery Manager or to the CTO all those who have the power/responsibility to lay down the foundations of an agile working culture in the organization.

So what qualities define a Successful Agile leader?

1. An Agile Leader should make sure that the aims and goals of the organization are clearly understood by everyone individual under consideration in the delivery of the project, this involves the customers or the scrum teams and stakeholders.
2. A leader is required to have Strong communication skills viz – storytelling capabilities and should be a good listener.
3. Passionate about learning new things and has an intense curiosity about the unknowns.
4. He/she is calculated risk taker.
5. Focused strongly on his/her priorities.
6. He/she is open to criticisms and takes it in the most positive way.
7. A good agile leader is responsible for creating an environment where small failures occur early and often during the development life cycle, and hence lowering down the danger of a huge failure occurrence at the end of the project.
8. He/she will make sure that the team is dedicated, focused and tuned to the individual work rather than multitasking.
9. A good agile leader will put in his cent percent so that the team delivers a high-quality product on time.
10. He/she should make the current and goal situation clear so that people can think and act autonomously.
11. The leader is expected to have a Positive attitude and an innate ability to be diplomatic in any circumstances.
12. The leader should place his faith in the capability of his/her teams, giving them real empowerment.
13. The Agile leader will not be afraid to show some vulnerableness.
14. The leaders work should be such that he/she inspires and motivates others.
15. The leader must be approachable and outgoing and open to suggestions even from his younger teammates.

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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