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Don’t Overlook Training for Citizen Data Scientists!

Elegant BI

What is a Citizen Data Scientist and How Do I Train and Transition My Team? Citizen Data Scientists…the predicted future of the organization! If you don’t know what a Citizen Data Scientist is, let’s talk about that. What is a Citizen Data Scientist and what is the role of a Citizen Data Scientist in an organization?

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Breaking the Mold: Subhamoy Chakraborti Leads the Digital Transformation of News Media

CIO

His responsibilities span the entire IT spectrum, encompassing the IT infrastructure and network, Security, SAP, Business applications, Data Analytics, and digital footprint. We are working on creating an improved employee experience, and have launched multiple products in B2C space.

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How a Cultural Shift Toward Data Democratization Can Improve Analytics

Dataversity

As part of a well-desired culture change of data awareness in an organization, data democratization is a concept that enables easy access to data by anyone. The ease of availability and access to data allows for direct and indirect data monetization, thus improving revenue streams.

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How To Cultivate Data-Driven Decision-Making In Your Workplace

Smart Data Collective

The benefits of investing in big data cannot possibly be understated. A report by McKinsey showed that data-driven companies have 15-25% higher earnings before interest, taxes, depreciation and amortization. In today’s competitive world, the most successful businesses and organizations put data at the heart of everything they do.

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Top 10 Analytics And Business Intelligence Trends For 2020

Datapine Blog

Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts.

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Is Data Mesh a Sustainable Approach to Data Responsibility in the Business?

BI Survey

Data mesh is a hot buzzword, but what is behind it? Regardless of how one feels about it, the concept addresses some highly relevant areas. But does data mesh really address the central pains that many companies are struggling with? Are the principles of data mesh suitable for solving these challenges in practice?