Remove Business Objectives Remove Dashboards Remove Data Analytics Remove Digital Transformation
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2023 Predictions: Data Trends That Will Dominate Business Agenda in APAC

Cloudera

In the past year, businesses who doubled down on digital transformation during the pandemic saw their efforts coming to fruition in the form of cost savings and more streamlined data management. Here are three key trends that will likely dominate the priorities of APAC’s business leaders in the coming year.

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Self-Service BI vs Traditional BI: What’s Next?

Alation

A shift emerged around 2000 with the initial discussions regarding digital transformation. Slow requirements led technology leaders to demand proactive business intelligence. These so-called “citizen data scientists” remained a roadblock between business users and data — and between data and decision making.

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How to unlock a scientific approach to change management with powerful data insights

IBM Big Data Hub

Grasping these opportunities at IBM, we’re increasingly building our specialism in process mining and data analysis tools and techniques we believe to be true ‘game changers’ when it comes to building cultures of continuous change and innovation. It can show whether perceptions are real, as well as unearthing unexpected insights.

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The 10 Essential SaaS Trends You Should Watch Out For In 2020

datapine

While this is indeed food for thought, it’s important to remember that not every solution will suit an API-based unbundling business model. If you’re looking to improve your data analytics processes, in particular, unbundling is unlikely to be the answer. The revolution is here, and it’s digital.

Software 314
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Havmor’s VP IT Dhaval Mankad on ‘melting’ hurdles with a scoop of digital innovation

CIO Business Intelligence

During the last decade, I have led digital transformation initiatives which added two lac hours of productivity for various organizations. Currently, we have not implemented any full-fledged AI solutions, but internal discussions with the management are underway to develop dashboard solutions with data analytics.

IT 85
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12 considerations when choosing MES software

IBM Big Data Hub

User-friendliness: The software should be easy to use, with intuitive dashboards and user interfaces. Data analytics and reporting: The MES software should provide comprehensive analytics and reporting capabilities, allowing you to track and analyze KPIs, production trends and efficiency metrics.

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How to build a successful hybrid cloud strategy

IBM Big Data Hub

To capture the most value from hybrid cloud, business and IT leaders must develop a solid hybrid cloud strategy supporting their core business objectives. These include single consoles or dashboards that help create a single pane of glass (SPOG) so teams can easily view and control resources.