Data Warehouse

We bring all intelligence data from any kind of multiple sources to unlock deeper insights

Nowadays, data management becomes vital for creating a successful analytics environment and data-driven culture in the organization. Many global corporations have turned to data warehousing to organize data streaming from corporate branches and operation centers around the world. In SMEs, the data warehouse is mostly used to aggregate raw data collected across all business units.

Our team will help to bring all the needed business intelligence data from any kind of multiple sources such as ERP, CRM, databases, raw files, external applications, or manufacturing equipment under a single data warehouse with advanced architecture to unlock deeper insights for data-centered decisions. It ensures flawless creation of reporting, analytics, and building customized KPIs. Data Warehouse will assist you not only to receive centralized information in one place but also automate the process of data allocation and will help in structuring advanced analytics tools.

Data warehouses are programmed to apply the unified format to all collected data, which makes it easier for corporate decision-makers to analyze and share data insights with their colleagues around the globe. Standardizing data from different sources also reduces the risk of an error in interpretation and improves the overall accuracy of information. Data warehouse use cases focus on providing high-level reporting and analysis across all business units and at different levels of organization.

Data warehouse definition

In computing, a data warehouse (DW or DWH), is a system used for reporting and data analysis, and is considered a core component of BI (business intelligence). DWs are central repositories of integrated data from one or more disparate sources. They store current and historical data in one single place that are used for creating analytical reports for workers throughout the enterprise.

Why do companies need a data warehouse?

With companies embarking on digital transformation of their business operations, almost every business process is becoming dependent on a multitude of IT systems and the data those systems record and maintain. For companies to operate efficiently and achieve their goals, employees from top-level executives to individual contributors need efficient access to data and analytics that provide actionable insights into how a company is operating, areas of risk or concern and opportunities for competitive advantage.

  • Data-Driven Decision Making - Corporate decision makers will no longer have to make important business decisions based on limited data and hunches
  • Data quality and consistency - Since data warehouses gather information from different sources and convert it into a single and widely used format, departments will produce results that are in line and consistent with each other
  • Quick and easy access to do - Speed is an important factor that sets you above your competitors, Interactive Data visualizations – Charts, Maps, Graphs, etc.
  • Creating solid reporting structure for management and C level
  • Creating ground for Advanced Analytics and Machine Learning models
  • Deploying Analytics across all organization​
warehouse

Enterprise Data Warehouse (EDW)– EDW is a data warehouse designed to support an entire company, not just a single function. Enterprise data warehouses are common in large companies and serve the important role of bridging across business units, locations and fragmented IT systems. Even if your company has multiple transactional systems, an EDW can be used to gather all your data in one place for centralized analytics and reporting.

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