Remove services data-and-analytics
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TransUnion transforms its business model with IT

CIO

billion acquisition of data and analytics company Neustar in 2021, TransUnion has expanded into other services such as marketing, fraud detection and prevention, and robust analytical services. We’re modernizing existing products to get to this entire data analytics value chain.”

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An intro to innovation in the U.S. government

CIO

Customer experience in the government sector is the sum of the public’s interactions with any government service, from how we contact our state’s social services and emergency services to waste management, public transportation, and healthcare. In this guide, you’ll learn more about the importance of innovation in the U.S.

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Pentagon’s first chief AI officer leaves after two years

CIO

There is no doubt that Dr. Plumb’s technical expertise and strategic acumen will enhance the CDAO’s innovative efforts, and help accelerate the DOD’s adoption of data, analytics, and AI to generate decision advantage from the boardroom to the battlefield,” Secretary of Defense Lloyd Austin said in a statement.

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8 data strategy mistakes to avoid

CIO

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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Embedded Analytics Insights for 2024

Organizations look to embedded analytics to provide greater self-service for users, introduce AI capabilities, offer better insight into data, and provide customizable dashboards that present data in a visually pleasing, easy-to-access format.

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Technology’s role in social sustainability

CIO

How technology is used for social sustainability Governance and ethical practices: Data security and privacy technologies are critical for good governance, particularly in our digital-first world where cybersecurity risks are on the rise. Technology has a critical role to play in any organization’s social sustainability strategy.

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Sport analytics leverage AI and ML to improve the game

CIO

Nearly 10 years ago, Bill James, a pioneer in sports analytics methodology, said if there’s one thing he wished more people understood about sabermetrics, pertaining to baseball, it’s that the data is not the point. The point is to use the data like a razor to cut through false convictions to find the truth.

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The Hidden ROI of Embedded Analytics for SaaS Companies

Most companies realize the value third party analytics solutions offer in delivering a best-of-breed capability to market quickly. However, end-user expectations have moved beyond what embedded analytics can offer and now encompass a seamless user experience, easy to use self-service, and immediate data response times.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Embedded analytics offers a strategic solution to this challenge. Here’s how.

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How to Democratize Data Across Your Organization Using a Semantic Layer

Speaker: speakers from Verizon, Snowflake, Affinity Federal Credit Union, EverQuote, and AtScale

Join this webinar panel for practical advice on how to build and foster a data literate, self-service analysis culture at scale using a semantic layer. In this webinar you will learn about: Making data accessible to everyone in your organization with their favorite tools.

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How to Operationalize Data From Multiple Sources to Deliver Actionable Insights

Speaker: Speakers from SafeGraph, Facteus, AWS Data Exchange, SimilarWeb, and AtScale

Data and analytics leaders across industries can benefit from leveraging multiple types of diverse external data for making smarter business decisions. Data and analytics specialists from AWS Data Exchange and AtScale will walk through exactly how to blend and operationalize these diverse data external and internal sources.

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From Hadoop to Data Lakehouse

Getting off of Hadoop is a critical objective for organizations, with data executives well aware of the significant benefits of doing so. By migrating to the data lakehouse, you can get immediate benefits from day one using Dremio’s phased migration approach.

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How Banks Are Winning with AI and Automated Machine Learning

Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics. By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations. Brought to you by Data Robot.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics. Five years ago they may have. But today, dashboards and visualizations have become table stakes.

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How to Use a Semantic Layer to Scale Data & Analytics Across Your Organization

Download this guide for practical advice on using a semantic layer to improve data literacy and scale self-service analytics. The guide includes a checklist, an assessment, industry-specific use cases, and a data & analytics maturity model and roadmap.