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Beyond the hype: Do you really need an LLM for your data?

CIO Business Intelligence

As someone deeply involved in shaping data strategy, governance and analytics for organizations, Im constantly working on everything from defining data vision to building high-performing data teams. My work centers around enabling businesses to leverage data for better decision-making and driving impactful change.

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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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Four Strategies For Effective Database Compliance

Smart Data Collective

Modern data is an increasingly overwhelming field, with new information being created and absorbed by businesses every second of the day. Instead of drawing in the sheer speed of production that we’re encountering, many businesses have moved into effective data management strategies.

Strategy 120
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Five Strategies to Accelerate Data Product Development

Cloudera

With this first article of the two-part series on data product strategies, I am presenting some of the emerging themes in data product development and how they inform the prerequisites and foundational capabilities of an Enterprise data platform that would serve as the backbone for developing successful data product strategies.

Strategy 119
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When is data too clean to be useful for enterprise AI?

CIO Business Intelligence

Good data governance has always involved dealing with errors and inconsistencies in datasets, as well as indexing and classifying that structured data by removing duplicates, correcting typos, standardizing and validating the format and type of data, and augmenting incomplete information or detecting unusual and impossible variations in the data.

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Stock Options Chain Analysis Using Excel

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Simple strategies for trend analysis in stock options data. The post Stock Options Chain Analysis Using Excel appeared first on Analytics Vidhya.

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Data Mining vs Data Warehousing: 8 Critical Differences

Analytics Vidhya

The two pillars of data analytics include data mining and warehousing. They are essential for data collection, management, storage, and analysis. Providing insights into the trends, prediction, and appropriate strategy for the company and serving numerous other uses are distinct.