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Pitching a DataOps Project That Matters

DataKitchen

Each of these improvements can be measured and iterated upon. . These benefits are hugely important for data professionals, but if you made a pitch like this to a typical executive, you probably wouldn’t generate much enthusiasm. Your data consumers are focused on business objectives. Try measuring your errors per week.

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Whether your technology is new or old, lifecycle management is key

CIO Business Intelligence

At the same time, you’ll need to rethink your hardware and software capital expenditure, as organizations are increasingly moving to subscription models (such as enterprise agreements) and as-a-service offerings. These undertakings are best attempted with the help of an expert partner. Our lifecycle approach tackles this from the get-go.

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NaaS and the “Experience Economy”

CIO Business Intelligence

By: Amrita Shergill, Account Manager, NaaS and Ecosystem Sales at Aruba, a Hewlett Packard Enterprise Company. With a majority of employees splitting their time between the home office and workplace, managing and securing the enterprise inside and outside its boundaries in a flexible and scalable manner is a priority. . IT Leadership

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Business Strategies for Deploying Disruptive Tech: Generative AI and ChatGPT

Rocket-Powered Data Science

First, don’t do something just because everyone else is doing it – there needs to be a valid business reason for your organization to be doing it, at the very least because you will need to explain it objectively to your stakeholders (employees, investors, clients). The latter is essential for Generative AI implementations.

Strategy 289
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Achieving cloud excellence and efficiency with cloud maturity models

IBM Big Data Hub

Organizations face increased pressure to move to the cloud in a world of real-time metrics, microservices and APIs, all of which benefit from the flexibility and scalability of cloud computing. There are many CMMs in practice and organizations must decide what works best for their business needs. Why move to cloud?

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Common cloud migration challenges and how to manage them

IBM Big Data Hub

Cloud computing continues to grow in popularity, and its scalability, functionality, cost-effectiveness and other potential benefits have helped transform traditional business models and update legacy systems, creating opportunities for various organizations. a migration will be.

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A step-by-step guide to setting up a data governance program

IBM Big Data Hub

The primary goal of any data governance program is to deliver against prioritized business objectives and unlock the value of your data across your organization. Realize that a data governance program cannot exist on its own – it must solve business problems and deliver outcomes. Don’t try to do everything at once!