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What is Agile Data Governance? Definition, Framework, and Steps

IdeaScale

What is Agile Data Governance? Agile data governance is defined as a modern approach to data management that emphasizes flexibility, collaboration, and iterative improvement.

Agile 130
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You can't burn data

Jeffrey Phillips

As the concept of digital transformation takes root, you may frequently hear comparisons between data and oil. This comparison was strong enough to lead Wired magazine to define data as the new oil in a magazine article some years ago. Both data and oil are commodities, and exist to some degree in large volumes.

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What is Data-Driven Decision Making in Government? Definition, Implementation, Improvement, Engagement, Challenges, and Considerations

IdeaScale

Data has become the cornerstone of decision-making across various sectors, including government. The adoption of data-driven approaches has revolutionized how policymakers strategize, allocate resources, and address societal challenges. In this blog, we explore the significance of data-driven decision-making [.]

Data 130
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Why Data Breaches Spiked in 2023

Harvard Business Review

In spite of recent efforts to beef up cybersecurity, data breaches — in which hackers steal personal data — continue to increase year-on-year: there was a 20% increase in data breaches from 2022 to 2023.

Data 97
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Modern Data Architecture for Embedded Analytics

Every data-driven project calls for a review of your data architecture—and that includes embedded analytics. Before you add new dashboards and reports to your application, you need to evaluate your data architecture with analytics in mind. Expert guidelines for a high-performance, analytics-ready modern data architecture.

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5 Pillars for Democratizing Data at Your Organization

Harvard Business Review

Many companies have made becoming data-driven a goal, and yet many traditional organizations are still struggling to democratize data beyond the data experts.

Data 126
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Retail Omnichannel Success: All About the Data

Business and Tech

“The experience consumers expect is seamless and consistent,” says Steve Prebble, CEO of Appriss Retail , a retail software and data analysis company. “It’s But many retailers aren’t leveraging the data they collect. They’ve got siloed data, and the e-commerce and in-store teams aren’t always working together.”.

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How to Build Data Experiences for End Users

Organizational data literacy is regularly addressed, but it’s uncommon for product managers to consider users’ data literacy levels when building products. Product managers need to research and recognize their end users' data literacy when building an application with analytic features.

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How Personalized Customer Experiences Drive Retail Growth and Revenue

Speaker: Shaunna Bruton - Associate Director of Product Strategy at Orium | Sam Panzer - Director of Industry Strategy at Talon.One | Frank Passantino - Director of Product Management at Bloomreach

Data from McKinsey shows that companies that excel in personalization increase their revenue by 40%, but despite these numbers, retailers struggle to implement customer personalization strategies. More and more, customers are expecting a better personalized CX. But can retailers actually deliver? So what are the potential solutions?

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ABCs of Data Normalization for B2B Marketers

Data normalization. However, if lead generation, reporting, and measuring ROI is important to your marketing team, then data normalization matters - a lot. At its core, data normalization is the process of creating context within your marketing database by grouping similar values into one common value. Why is this so essential?

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4 Approaches to Data Analytics

The world of data analytics is changing fast as organizations look to gain competitive advantages through the application of timely data.

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The 2019 Technographic Data Report for B2B Sales Organizations

In this report, ZoomInfo substantiates the assertion that technographic data is a vital resource for sales teams. reporting that technographic data is either somewhat important or very important to their organization. In fact, the majority of respondents agree—with 72.3%

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Digitizing Logistics: Harness the Power of Data in 4 Steps

That’s where your data comes in. In demand generation, data is essential for knowing who you should target and how. In this eBook, you’ll learn how to identify and target your ideal prospects — when they’re most receptive to hearing your message — using different types of data. Leveraging intent data.

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You’re Invited: Innovate Through Data Virtual Summit

Speaker: Logi Analytics

Logi Spark 2021 consists of two days of networking, best practice sessions, and forward-thinking keynotes on the future of data. Preview our sessions and sign up to join other data leaders looking to transform the world of analytics.

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Creating the "Right" Product Roadmap With Data

Speaker: Sunil Parekh, Head of Product Management, SimplyInsured

Data can be qualitative or quantitative, and comes from multiple sources: customer interviews, product usage & funnel analytics, company financial performance, and internal stakeholders. How do you use that data to create a product roadmap that is aligned with your organization’s business objectives?