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The data products used inside the company include insights from user journeys, operationalreports, and marketing campaign results, among others. The data platform serves on average 60 thousand queries per day. The data volume is in double-digit TBs with steady growth as business and data sources evolve.
The great news is, there is a book that can help you “open your mind to Business Intelligence”, reflecting the latest version of Microsoft BI Stack (as at the time of writing). Chapter 1 Which Analysis and Reporting Tools Do You Need? Chapter 2 Designing an Eff ective Business Intelligence Architecture.
The great news is, there is a book that can help you “open your mind to Business Intelligence”, reflecting the latest version of Microsoft BI Stack (as at the time of writing). Chapter 1 Which Analysis and Reporting Tools Do You Need? Chapter 2 Designing an Eff ective Business Intelligence Architecture.
Data Environment First off, the solutions you consider should be compatible with your current dataarchitecture. We have outlined the requirements that most providers ask for: Data Sources Strategic Objective Use native connectivity optimized for the data source.
Cost Savings: By streamlining data access and reducing the need for multiple systems, Simba cuts down on maintenance and integration costs, allowing you to focus resources where they matter most. Ready to Transform Your Data Strategy? Now is the time to integrate Trino and Apache Iceberg into your data ecosystem using Simba drivers.
Technology teams often jump into SAP data systems expecting immediate, quantifiable ROI. However, this optimism often overlooks the reality of the situation: complex dataarchitecture, mountains of manual tasks, and hidden inefficiencies in processing. Visions of cost savings and efficiency gains dance in their minds.
Make sure your data environment is good-to-go. Meaning, the solutions you think about should mesh with your current dataarchitecture. Plan how you will deliver and iterate these within your application. These must be flexible enough to meet the changing demands of users.
The Challenge of Capturing Human Input Modern dataarchitectures, like Microsoft Fabric, excel in collecting and processing system-generated data. Whether transactional data, operational metrics, or system logs, these platforms are optimized to deliver analytical insights from structured sources.
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