Business Intelligence Implementation Services

• Trend analysis to understand opportunities and challenges.
• Forecasting, including what-if analysis to predict future trends based on data and choose the scenario that guarantees success.
• Performance analysis to choose the most relevant internal and external benchmarks, as well as calculate important metrics.
• Plan analysis to find mismatches, bottlenecks or underutilized capacity.

• Plan/actual comparison to identify deviations in performance, if any, from the plan.
• Root cause analysis to find the reasons for lower than planned performance.

• Change impact analysis to assess the potential or the risks associated with a change.
• ROI analysis to compare actual ROI against planned ROI.

Insights provided by a centralized BI solution can be used to optimize internal processes or operations, such as:

• Sales.
• Marketing.
• Asset utilization.
• Inventory.
• Shop floor operations.
• Service provisioning, and more.

At this stage, we collect the requirements of the stakeholders, including:

• CEO and other company executives.

• Analytics department.

• IT department.

• Business departments.

• Business consultants, if any.

We document all the requirements, manage and prioritize them to reflect in a BI solution.

Here’s what we do at this stage:

• Define business objectives and design a BI solution to achieve them.
• Define relevant KPIs and reports that a BI solution should produce.
• Design data quality assurance processes.
• Suggest an implementation strategy.
• Define implementation challenges and elaborate the ways to overcome them.
• Design a user adoption strategy.
• Describe data sources and ETL procedures.
• Create an implementation plan that outlines assumptions, resources, milestones, roles and responsibilities, and other details.

We consider each user role (for example, CEO, executives, department managers or analysts) and recommend what KPIs each dashboard should reflect. Besides, we suggest the layout and the most convenient data representation options to ensure that dashboards are uncluttered and intuitive.

We do all the coding work to:

• Deliver all the components of a BI solution – a data lake, a data warehouse, OLAP cubes, reports and dashboards.
• Implement flawless ETL processes for each of our customers’ multiple data sources, including external and outdated ones. Thus, we develop a centralized BI system integrated with numerous enterprise systems.
• Strengthen the solution with data science.
• Set up data quality management practices.
• Ensure data security.
• Run quality assurance procedures to avoid such problems as wrongly calculated KPIs, slow response or low-quality UX.

As an alternative to implementing the whole BI solution at once, we offer an iterative approach. In this case, we can deliver a basic BI solution in 2-5 months. For that, we prioritize the deliverables and start with the key reports and dashboards (for example, financial and sales) to later add the reports that provide a more detailed look (for example, cost and operational reports). While developing iteratively, we apply the DevOps approach to assure the quickness and frequency of releases without sacrificing on the solution’s quality.

We conduct training sessions that are targeted at each user group and offer a detailed explanation of the solution’s components and functions. After the training, end users are fully ready to use BI in their daily work.

We conduct user acceptance testing of a not yet launched solution to check it in different real-world scenarios. Then, we deploy the solution in production, making it ready for end users. We make sure that the deployment is smooth and that no issues, such as no access to the system or zero values in a report, prevent the users from working with the BI solution.

During 1 – 3 months after the launch, while our customers already enjoy the solution, we eliminate any problem that may appear or help to enrich the solution’s capabilities, for example, by adding new data sources or configuring some additional reports.