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Decoding the Data-Driven Journey: Insights from Paisabazaar’s CEO 

Analytics Vidhya

Introduction In this episode of Leading with Data, Kunal Jain engages in a conversation with Naveen Kukreja, CEO of Paisabazaar. Unveil the secrets behind Naveen’s remarkable career, from navigating the banking and financial services domains to pioneering data-centric strategies in India’s evolving digital landscape.

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The Five Use Cases in Data Observability: Overview

DataKitchen

Harnessing Data Observability Across Five Key Use Cases The ability to monitor, validate, and ensure data accuracy across its lifecycle is not just a luxury—it’s a necessity. Data Evaluation Before new data sets are introduced into production environments, they must be thoroughly evaluated and cleaned.

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How to Assess the Analytics Maturity of Your Organization? 

Analytics Vidhya

Data analytics transforms raw data into actionable insights that drive informed decision-making, enhance performance, and create value. Yet, organizations vary in their data analytics maturity and capabilities. Wondering how you can monitor your current position and elevate your data analytics journey?

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Tableau further democratizes analytics with AI-fueled features

CIO Business Intelligence

At Tableau Conference 2024 in San Diego today, Tableau announced new AI features for Tableau Pulse and Einstein Copilot for Tableau, along with several platform improvements aimed at democratizing data insights. Your AI strategy is only as good as your data strategy,” Tableau CMO Elizabeth Maxon said in a press conference Monday.

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The Unexpected Cost of Data Copies

An organization’s data is copied for many reasons, namely ingesting datasets into data warehouses, creating performance-optimized copies, and building BI extracts for analysis. Read this whitepaper to learn: Why organizations frequently end up with unnecessary data copies.

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8 data strategy mistakes to avoid

CIO Business Intelligence

Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Here are some data strategy mistakes IT leaders would be wise to avoid.

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How Value Stream Management is fueling success at Boeing, Tyson, and Verizon

CIO Business Intelligence

In today’s digitally transforming world, time is of the essence. As you seek to boost agility and speed your organization’s digital transformation, there are some proven principles you can apply. In the process, they can break down the silos that stifle digital transformation. What you see is maximizing the ROI.”