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Role of Data Warehouse Consulting in Business Intelligence

• Publicado por Emilymia BI 30 de outubro de 2019 - Arquivado em Tecnologia - #Data Warehouse Consulting  - 67 visualizações

  Data Warehouse Consulting – Build Your BI Infrastructure

   

  High-quality and rich information is the essence of an efficient decision-making process. To improve the business performance and for being stable in the competitive business environment, it requires active access to a managed and well-structured data storage warehouse. This planning helps to provide fast, correct, and valuable insights with the help of Data Warehouse Consulting services for your business.

   

  

   

  BI (Business Intelligence) Architecture & Data Warehousing

   

  Business Intelligence Architecture expresses the specific principles, standards, policies and actions for arranging data through computerized techniques and technologies. The BI systems created are used for visualizing data online, doing analytics, and creating reports.

   

  Data warehousing is a key element of Business Intelligence Architecture that is used for arranging, altering, storing, clean-up and mining of data BI and DWH, both are centralized on producing actionable and valuable insights and performing analysis with BI tools by collecting and accumulating the internal and external data from different sources.

   

  BI Architecture in Modern Business

   

  A concrete Business Intelligence Architecture consists of the following independent components, which have their independent functions in data warehousing. Check out the list below:

   

  1. Collection of data
  2. Data integration
  3. Storage of data
  4. Data analysis
  5. Distribution of data
  6. Reaction based on insights

   

  

   

  Well, let’s discuss their functions and working here.

   

  1. Collection of data:- The foremost step is to collect the raw and original information from various sources such as CRM, ERP, databases, files or API. The source of information fluctuates based on the requirement and resource. Modern BI tools use ETL engine to gather data and to produce a data-driven decision.
  2. Data Integration:- After collecting the necessary information, next phase is to extract data and stack it into the data warehouse. This process is known as ETL (Extract-Transform-Load) organizes the data for final loading.
  3. Data Storage:- Here, the data warehouse is used to load and store information, which is later used to generate output as unified data on BI applications.
  4. Analysis of Data:- Moving further, when collecting, storing and processing of data is done, BI tools are used to perform data analysis using BI application tools.
  5. Data Distribution:- This is the most important stage when the information is shared to generate valuable insights for the clients that help in maintaining business growth. Data distribution contains reporting, dashboard visualizations and embedding.
  6. Reactions based on Insights:- The final stage of BI architecture is decision-making and providing answers to difficult business questions based on the data available through Business Intelligence and Data Warehousing.

   

  DWH & BI- Solutions for Advanced Business

   

  Business Intelligence Architecture, including Data Warehousing, is the best platform to perform data analysis using a managed data structure to produce better results for decision making. In today’s competitive business world, the diversity of data is increasing enormously and processing and managing data is getting more complex. However, including Data Warehouse Consulting in your business infrastructure can bring in better data solutions for analyzing, cleaning, and organizing data effectively. Contact ExistBI for Data Warehouse consulting services, they operate in the United States, United Kingdom and Europe.