Enterprise Data Analytics 4-Months Implementation

Seven Seas Computers

We assist firms in discovering hidden patterns in their data that will allow them to acquire additional insights into their business, resulting in the development of strong customer relationship

SSTech data integration solutions help customers to unlock valuable information by integrating raw data from multiple sources and build a single source of truth.

Our solution takes advantage of Microsoft Azure's capabilities; we use Azure Data Factory to extract information from a multitude of sources, including cloud and on-premise sources, and process it in Azure Synapse Analytics. Azure Synapse Analytics is a limitless analytics service that brings together data integration, enterprise data warehousing, and big data analytics. We next process the data using Azure Analysis Services, which is a fully managed platform as a service (PaaS) that provides enterprise-grade data models in the cloud, before visuzlize it in Power BI.

Data is the new fuel, and companies are gathering it at every stage of the customer journey. The number of work-related apps has expanded substantially, and each app has its own database to store data. It is extremely difficult for businesses to assess data that is held in silos. Even for businesses that operate on a relatively small scale, organization and structure are extremely important when it comes to building and maintaining an EDW. For the data to be useful, it must be stored in a logical, consistent manner. Knowing where you can look for what data, and be sure that the data returned is accurate, is a huge part of the task. We help organization to build Enterprise Grade data warehouse solution leveraging the power of Microsoft Azure

The data stored in this type of digital warehouse can be one of a business’s most valuable assets, as it represents much of what is known about the business, its employees, its customers, and more.

Our Data Analytics Framework

  1. Data Audit and Roadmap.
  2. Data Collection
  3. Data Transformation & Storage.
  4. Business Intelligence.
  5. Advanced Analytics.
  6. Data Sharing and Dissemination