Fast-track Business Insights with BI Analytics and Data Management
Business decisions are taken in an organization based on experience and guesswork, and not on data - data is rapidly increasing in volume and complexity. IT leaders are trying to address this challenge by adopting Self-service Business Intelligence (BI) so that people can act fast on data-driven Business Insights reducing dependency on the IT Team.
However, these initiatives may not achieve its full benefit when data is slow, hard to find, unclean and inconsistent. To address these challenges and to enable the actual benefit self-service analytics at scale, many organizations are modernizing their analytics environment with as Cloud Data Warehouses, such as Microsoft Azure Synapse Analytics (Azure SQL Data Warehouse) as well as Cloud data lakes like Microsoft Azure Data Lake Gen 2 as well. But Self-service BI Analytics can only become meaningful with timely and accurate results by drawing on trusted, consistent, and relevant clean data. The solution to success is to streamline this process of moving this trusted, high-quality data into the cloud Data Warehouse or cloud Data Lake with the help of Cloud ETL/ELT or Ingestion such as Azure Data Factory and Cloud Analytics like Azure Analysis Service and Azure Databricks, so that business users can access data and slice & dice data as needed.
To deliver trusted, consistent data at scale for analytics cloud Data Platform such as Azure Data Platform is the most comprehensive and the only intelligent data platform to accelerate cloud analytics modernization with Microsoft Azure Data Lake Service (ADLS) and Azure Synapse Analytics and Microsoft Power BI. Various data management platforms can deliver data to Power BI users in to accelerate both operationalized BI Analytics and Ad-hoc Analytics. Industries first Microsoft Common Data Model (CDM) support delivers integrated, harmonized, trusted data at scale into Microsoft ADLS Gen 2, for industry-leading performance, security, management, and cost-effectiveness. Power BI Dataflow ensures data flows between Power BI and ADLS Gen 2/CDM for your business analysts that can rapidly access and analyze trusted data.
DataSturdy helps customers in Modernizing BI Analytics with specific planning guidance for all types of data scenarios. Provides personalized technical guidance on modern BI Analytics strategies, choosing a path to modernization, building an agile data analytics solution and transforming insights into action. Engage with DataSturdy experts to help build your BI Analytics platform using Azure Data Services and Microsoft SQL Server. You’ll walk away with an understanding of cost estimation, reference architecture documentation and sample architectures. There after DataSturdy will help you to build, implement and transform your existing BI Analytics into a Modernized BI Analytics.
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