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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 215
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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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5 signs your agile practices will lead to digital disaster

CIO

Many IT teams use agile methodologies to iteratively deliver feature-rich releases, improve capabilities, address technical debt, and experiment with emerging technologies. I recently moderated Adaptavist’s “Agile Back to Basics” roundtable, which included three authors of the Agile Manifesto.

Agile 318
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Digital pragmatism at Volvo means more control and less agile

CIO

Previously, we didn’t have access to all the data about our customers because we didn’t have the direct customer contact,” says Altehed. We were going to leave our data centers, and we did,” he says. “In Volvo Cars’ digital department started to work agilely according to the SAFe Framework in a product-oriented model in 2018.

Agile 318
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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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Agility Meets SAP

Xebia

In this era of digital transformation, companies face the challenge of quickly adapting to changing market requirements while implementing complex enterprise solutions like SAP (Systems, Applications, and Products in Data Processing). However, this agile transformation in SAP projects presents both opportunities and challenges.

Agile 147
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Agile doesn’t create future-proof organizations

Xebia

Going Beyond Agile Nobody can deny that the digital revolution has fundamentally changed the way we live in the world. Organizations have to take innovation and agility to the next level to survive in this new age. Organizations have to take innovation and agility to the next level to survive in this new age.

Agile 147
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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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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.

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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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All Method, No Madness: Guiding Agile Teams Through Research

Speaker: Amanda Stockwell, President of Stockwell Strategy

Many Product Managers feel quality user research can't keep up with the fast-paced culture of agile teams. However, if you're willing to adapt the right way, you don't have to sacrifice agility or user insights. Using the right strategy, your agile team will collect qualitative data, interpret it, and integrate it effectively.

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The Next-Generation Cloud Data Lake: An Open, No-Copy Data Architecture

In an effort to be data-driven, many organizations are looking to democratize data. However, they often struggle with increasingly larger data volumes, reverting back to bottlenecking data access to manage large numbers of data engineering requests and rising data warehousing costs.

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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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Innovating and Driving Agility with Tech: No-Code Development

Speaker: Gautam Nimmagadda, CEO, Quixy

Join Gautam Nimmagadda, CEO of Quixy, and learn how to leverage tech and drive agility with citizen development and the no-code movement. How to recognize emerging trends in tech today and leverage them to stay agile for a holistic business strategy. Tuesday December 15th, 2020 at 11AM PST, 2PM EST, 7PM GMT

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Gartner Report - Introducing DataOps Into Your Data Management Discipline

Data teams are increasingly under pressure to deliver data to support a range of consumers and use cases. DataOps techniques can address the data delivery challenges through a more agile and collaborative approach to building and managing data pipelines.