Data Warehouse

For digital transformation and data oriented decision making, first it is vital to organize data

Nowadays, aggregation of data becomes vital for creating a successful analytics environment and data-driven culture in 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 warehouse mostly used to aggregate raw data that collected across all business units. 

Our team will help to refine data from multiple sources such as ERP, CRM, databases, raw files, external applications or manufacturing equipment towards a single data warehouse, with advanced architecture to unlock deeper insights for data-centric decisions. It ensures flawless creation of reporting, analytics and building customized KPIs. Hence, it will maintain all high level of data security, governance and compliance.

Further in result, building Data Warehouse based on Microsoft Azure will ensure strong BI and advanced analytics that can be built with an ease using services such as  Azure Synapse Analytics, Power BI and Machine Learning.

For Example:

1. You want to calculate Conversion Rate of each Sales Manager and for that calculation, you have Customer Traffic from your CRM system on one hand and Daily Sales figures from ERP on the other hand

2. Data is widely scattered across the departments within your organization in different formats and software, you need to consolidate data and review them in comparison, juxtaposing or interactive format for data-oriented decision, e.g. Actual vs Budget comparison. 

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

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.

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 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. Download DWH Presentation

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