An analytics-driven culture with a BI system

Collecting large volumes of information from different sources and then structuring it

In-depth analysis of information, an objective assessment of the current situation, and rapid creation of customized reports

Track analytics across multiple channels in real time with interactive dashboards

A company transition to an analytics-driven culture where every employee has access to the data and metrics needed for their work

Dashboards show profitable and loss-making business lines, revenue and expense trends, and return on investment.

As a result, the company gains the ability to objectively assess the current situation and scale the strongest areas of its business. In sales, the BI system acts as a tool for planning and evaluating the execution of the sales strategy.

The analytics obtained make it possible to distribute workload evenly across employees, assess sales trends, and evaluate each manager's performance. In marketing, the BI system is used as a tool to evaluate marketing activities and ad campaigns.

It makes it possible to track the impact of seasonality and competitors' actions on sales, as well as rises and declines in demand.

It helps with marketing budget planning. In accounting, the BI system plays a supporting role in budget planning, managing and monitoring financial flows, and overall cash flow tracking. In manufacturing

BI system analytics are used to develop production plans, manage supply and warehouse inventory, analyze vehicle routes, track returns, refusals, and defects, and monitor employee performance.

For each employee, the BI system helps build an analytics-driven culture within the company.

Every employee can work with BI analytics and see the metrics they need for their role.

The key advantage of BI technologies is that the more users interact with the system, the deeper its level of analysis becomes.

Power BI Power BI is a business analytics service that can integrate various data sources such as Dynamics 365, Salesforce, SQL Azure, Excel, SharePoint, and other third-party applications.

The platform has a web interface that allows customized visualizations and required reports to be created in just two clicks, while the desktop application can be used for data standardization and cleansing. Dataiku

With machine learning, Dataiku helps turn large data sets into actionable insights.

The company connects to various storage systems and databases such as Hadoop, NoSQL, or image stores. Dataiku has always focused on making data science available to more people, not just analysts.