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As insurers look to be more agile, data mesh strategies take centerstage

CIO

In this way, data may just be the ultimate disruptor – a fact that the insurance industry knows all too well. As data volumes continue to increase alongside a correlating number of business requests, modern insurance data leaders face a nuanced set of challenges. Enter data mesh.

Insurance 210
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A Look Back at the Gartner Data and Analytics Summit

Cloudera

All of that technology, though, depends on data to be successful. In those discussions, it was clear that everyone understood the need to treat data estates more cohesively as a whole—that means bringing more attention to security, data governance, and metadata management, the latter of which has become increasingly popular.

Analytics 104
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5 Misconceptions About Scaling Agile

Xebia

When you hear the term "scaling Agile," what comes to mind? For many people, the first thing that comes to mind is doing everything bigger and faster—throwing more people onto a team of agile teams in order to speed things up. However, this is just one of the many misconceptions about scaling Agile. Be realistic.

Agile 130
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Data replication holds the key to hybrid cloud effectiveness

CIO

At the heart of every business decision, regardless of industry or sector, is data. A hybrid cloud approach offers a huge swath of benefits for organizations, from a boost in agility and resiliency to eliminating data siloes and optimizing workloads. There’s more to data than just adopting hybrid cloud.

Cloud 218
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Partner Webinar: A Framework for Building Data Mesh Architecture

Speaker: Jeremiah Morrow, Nicolò Bidotti, and Achille Barbieri

Data teams in large enterprise organizations are facing greater demand for data to satisfy a wide range of analytic use cases. Yet they are continually challenged with providing access to all of their data across business units, regions, and cloud environments.

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Why data leaders struggle to produce strategic results

CIO

Chief data and analytics officers (CDAOs) are poised to be of increasing strategic importance to their organizations, but many are struggling to make headway, according to data presented last week by Gartner at the Gartner Data & Analytics Summit 2023. The mean reported budget among respondents was $5.41

Data 354
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How Graph Analytics is Helping Improve Personalized Healthcare

CIO

What they found—an innovative way to model healthcare data—is saving the company an estimated $150M annually and enabling its medical professionals to provide accurate and effective care path recommendations in real time. This same solution, graph databases and graph analytics, proved crucial at the height of the Covid-19 pandemic.

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A Guide to Designing Delightful Dashboards

Speaker: Daniel O'Sullivan, Product Designer, nCino and Jeff Hudock, Senior Product Manager, nCino

We’ve all seen the increasing industry trend of artificial intelligence and big data analytics. In a world of information overload, it's more important than ever to have a dashboard that provides data that's not only interesting but actually relevant and timely. Importance of agility and iterative processes.

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12 Considerations When Evaluating Data Lake Engine Vendors for Analytics and BI

Businesses today compete on their ability to turn big data into essential business insights. To do so, modern enterprises leverage cloud data lakes as the platform used to store data for analytical purposes, combined with various compute engines for processing that data.

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How Agile Approaches Change Project, Program, and Product Measures

Speaker: Johanna Rothman, Management Consultant, Rothman Consulting Group

Before agile approaches took the world by storm, we used Gantt charts and defects to measure project and program progress. Agile approaches provide us other options now. No longer do product managers have to wait for project teams to finish their “Send Product Manager data for the spec sheet.”.

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The Ultimate Guide to Software Delivery & Engineering Metrics

As DevOps Value Stream Management (VSM) goes mainstream, large and small organizations increasingly recognize the need to apply data analytics to manage the end-to-end software delivery process more effectively – to deliver quality software faster and more predictably.