Why Legacy BI Tools Are Failing—And What’s Replacing Them

Organizations often struggle with inconsistent reporting despite significant investments in analytics tools. This leads to conflicting data, delayed decisions, and a lack of trust in business intelligence. The core issue lies in a fragmented BI layer where different teams use different tools and definitions for key metrics. To address this, leading companies are shifting from building isolated dashboards to creating unified data views through a central semantic layer. This layer standardizes KPIs and definitions across all BI platforms, ensuring everyone speaks the same data language. SCIKIQ offers an innovative solution to this problem, recognized by Forrester for its ability to unify multi-platform BI environments. It provides a common semantic layer, virtualized real-time access to distributed data, and end-to-end data lineage for complete transparency. This approach not only resolves reporting inconsistencies but also prepares organizations for AI-ready insights and trusted executive dashboards.
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Boosting Your Bottom Line with Retail Analytics: How to Measure and Enhance Performance

The Importance of Data Analytics in Retail Data analytics is becoming increasingly important in the retail industry, and for good reason. With the vast amounts of data available to retailers, it’s now possible to gain valuable insights into customer behaviour, preferences, and buying patterns. This information can be used to improve sales and marketing strategies, […]
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Tryst with Data

Artificial Intelligence, Machine Learning, Data sciences, Business Intelligence – All familiar jargons in the world today and so in trend if you look at any career path. However, underlying all of it, a beast rears its head – Data. Most people who work with data would attest to the fact that understanding data and making […]
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