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bi project implementation

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priti pawar

bi project implementation


Data is very important for businesses of today. Companies must be able to produce, collect and store large amounts of data and receive important data to use them productively. With Cloudaeon Business Intelligence implementation and consulting services, we provide analytics that use raw data to make your business more efficient and profitable.

Our customers come from a variety of industries, including retail, manufacturing, wholesale, services, energy & utilities, and they all have many different needs. However, they all strive to set standards for intelligent production at the interface between people, companies, and data. A successful BI project starts with careful and effective implementation.

Our Business Intelligence Consulting Service model -

Set requirements:

Implementing a business intelligence solution must begin with specified core business objectives, e.g. increase customer satisfaction, expand existing markets, increase sales, etc. This way you can set your goals and find the best way to use business intelligence to drive your business.

Assign responsibility:

During BI implementation, it is important to involve the management team and inform them of the business objectives.

Data validation:

Data is an important raw material for BI software. Therefore, it is important for you to process and evaluate your data to ensure that the data is correct and up to date. You can lose the trust of end-users if your data is inaccurate during the initial presentation. Confirm your data at each stage to get the best results.

Reports and dashboards:

Interactive dashboards can be updated automatically to provide real-time data about changing conditions, not static dashboards that provide a single view. Reporting capabilities allow users to quickly and easily create reports using familiar tools such as the drag and drop interface.

Data analysis:

Manual methods and systems for sealed locations can cause errors and data analysis can take a long time. Dashboard and dashboard functions combine different data sources for a holistic view that improves analysis and makes it easier to identify and correct errors.

KPIs:

By visualizing data and key performance indicators (KPIs), users can generate valuable business information, reduce manual effort and save time.

Clean data:

Data is the most important raw material for smooth business intelligence solutions. This is because the level of trust in the data used for decision making is a critical success factor. Sometimes data cleaning becomes the biggest problem during BI implementation.

Deploy BI:

After making sure that the solution is ready, it will be used by business employees. If needed, user training is offered. The next phase of determination, prototyping and iteration planning can begin while the current phase is being developed and validated.

 

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