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The Race For Data Quality in a Medallion Architecture

DataKitchen

Data is typically organized into project-specific schemas optimized for business intelligence (BI) applications, advanced analytics, and machine learning. Whether it’s customer analytics, product quality assessments, or inventory insights, the Gold layer is tailored to support specific analytical use cases.

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Interview with: Sankar Narayanan, Chief Practice Officer at Fractal Analytics

Corinium

Therefore, understanding customers for cross and up-sell is paramount. Fractal’s recommendation is to take an incremental, test and learn approach to analytics to fully demonstrate the program value before making larger capital investments. Build multiple MVPs to test conceptually and learn from early user feedback.

Insurance 250
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Data Visualization Libraries to Enhance Your Custom Analytics

Sisense

You can use it for just about any project at your company, and you can trust that it will stand the test of time because of its very simple architecture. Whatever you want to do with Visx (state management, animation library, etc.), chances are it will work; this could be the only library you ever need.

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Improve Business Agility by Hiring a DataOps Engineer

DataKitchen

Data-driven companies sense change through data analytics. Analytics tell the story of markets and customers. Analytics enable companies to understand their environment. Companies turn to their data organization to provide the analytics that stimulates creative problem-solving.

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Beyond growth: M&A as a strategic transformation enabler

CIO Business Intelligence

What data sources and analytics would enhance or expand positioning? Can improved customer analytics drive actionable insights? Deals are developing beyond core business growth, encompassing new digital opportunities and emerging technologies as drivers of strategic acceleration.

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NICE Orchestrates AI and Automation for Customer Journeys

David Menninger's Analyst Perspectives

Its origin point in contact center software has expanded outward to incorporate true enterprise CX capabilities based on post-contact center needs like digital interaction handling, deep customer analytics and process automation.

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Delivering Low-latency Analytics Products for Business Success

Rocket-Powered Data Science

Analytics products represent the user-facing and client-facing derived value from an organization’s data stores.

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