Remove Business Objectives Remove Data Governance Remove Data Quality Remove Marketing
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How to Build a Data Quality Strategy to Get Executive Buy-In

Octopai

But you see the “way-less-than-stellar” impact this data is having on your ostensibly data-driven organization. On business-critical questions like: Which product line should we invest in – or adjust – or market differently? Tie data quality directly to business objectives.

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Bringing an AI Product to Market

O'Reilly on Data

In this article, we turn our attention to the process itself: how do you bring a product to market? One mid-sized digital media company we interviewed reported that their Marketing, Advertising, Strategy, and Product teams once wanted to build an AI-driven user traffic forecast tool. Data Exploration and Experimentation.

Marketing 363
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Dow CDO Chris Bruman: We needed a new approach to data quality

CIO Business Intelligence

The initial goal in creating the group was to accelerate the delivery of digital business process tools and services and increase adoption to deliver stronger business results. By focusing on a few areas that are aligned to our business objectives, we get wins for the company, our customers, and our people.

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CDOs’ biggest problem? Getting colleagues to understand their role

CIO Business Intelligence

That’s according to a recent report based on a survey of CDOs by AWS in conjunction with the Chief Data Officer and Information Quality (CDOIQ) Symposium. The CDO position first gained momentum around 2008, to ensure data quality and transparency to comply with regulations following the housing credit crisis of that era.

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Best BI Tools Examples for 2024: Business Intelligence Software

FineReport

Benefits of Utilizing BI Tools The utilization of data analysis tools such as business intelligence software offers numerous benefits for organizations seeking to gain a competitive edge in today’s dynamic market landscape.

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5 recommendations to get your data strategy right

IBM Big Data Hub

The rise of data strategy. There’s a renewed interest in reflecting on what can and should be done with data, how to accomplish those goals and how to check for data strategy alignment with business objectives. This requires a deep understanding of the organization’s strengths and weaknesses.

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Generative AI – How to Care For, and Properly Feed, Chatty Robots

Ontotext

Terms related to GenAI such as hallucinations and Large Language Models (LLMs) have become lingua-franca for any and every business conversation. For example, if input training data is of bad quality, the results from AI algorithms will be substandard too.

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