Chandan Mishra

Deploy an AI Native Data Platform in 30 Days
01 Aug 25

Deploy a Governed Data Platform in 30 Days is the New Industry Imperative

In today’s hyper-competitive landscape, data isn’t just an asset — it’s the foundation for innovation, agility, and AI-powered transformation. But while most companies recognize the need to become data-driven, few have the time or resources for 12–18 month implementation cycles and with AI intelligence being part of data platforms Deploying a Governed Data Platform in […]
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The Collapse of Traditional Data Stacks and the rise of AI Ready Data Platforms

In today’s AI-first world, enterprises are no longer asking if they should prepare for AI—but how fast they can. As generative models, autonomous agents, and predictive systems begin reshaping every industry, one thing is clear: the real differentiator isn’t the AI model—it’s the data platform that feeds it. Traditional data stacks—built for reports, not reasoning—are […]
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10 Jun 25

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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Data Science Terms You Should Know
21 Aug 22

Common Data Science Terms You Should Know

Data science includes work in computation, statistics, analytics, data mining, and programming. We hear or use many terms in our industry on a daily basis, but what is the underlying meaning of these words? We have created a glossary of common statistics and Data Science terms that every person concerned should know. Algorithm: A mathematical […]
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02 Jun 20

Remote Work Stats for 2020

As we trudge through this year, the Coronavirus has become “world’s largest work-from-home-experiment”, as quoted by Time. The opportunity to work remotely has become one of the biggest bailouts for many companies. Globally, there is a renewed emphasis on work from home. Giant firms like Microsoft, Amazon, Twitter and several others are advising their employees […]
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