DataRobot Blog

MARCH 15, 2022

The message we’ve heard from attendees, loud and clear, is that the COVID-19 pandemic has enabled organizations to rapidly accelerate digital transformation and that there’s a strong mandate to maintain momentum. The push to predictive and prescriptive analytics requires strategy and C-Suite ownership.

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Prescriptive Analytics Digital Transformation Data-driven Machine Learning 52

Jedox

JANUARY 29, 2019

In today’s organizations, the role of financial controlling or FP&A is not only to provide financial insights so business partners can make better decisions, but it is also to lead the way towards a more mature use of analytics technology including predictive analytics for sales forecasting. Making AI Real (Part 2).

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Jedox

JULY 31, 2018

Part one of our blog series explored how people are the driving force behind the digital transformation and how it is fueled by artificial intelligence and machine learning. Now, we will take a deeper look into AI, Machine learning and other trending technologies and the evolution of data analytics from descriptive to prescriptive.

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Technology Prescriptive Analytics Machine Learning Business Intelligence 43

Sisense

SEPTEMBER 12, 2019

And every business – regardless of the industry, product, or service – should have a data analytics tool driving their business. Our go-to approach for analytics that feeds well into a BI strategy is the Evolution of Analytics chart (below). With that being said, it’s not enough to just have a tool. Find a bottleneck in R&D?

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Strategy Dashboards Diagnostic Analytics Prescriptive Analytics 81

BizAcuity

MARCH 31, 2022

Combined, it has come to a point where data analytics is your safety net first, and business driver second. By 2025, 80% of organizations seeking to scale digital business will fail because they do not take a modern approach to data and analytics governance. Artificial Intelligence Analytics. Source: Gartner Research).

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Alation

MARCH 21, 2023

For example, airlines have historically applied analytics to revenue management, while successful hospitality leaders make data-driven decisions around property allocation and workforce management. Why is data analytics important for travel organizations? Today, modern travel and tourism thrive on data.

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Data Analytics Analytics Data-driven Big Data 52

Sisense

OCTOBER 27, 2020

In The Future of Work , we explore how companies are transforming to stay competitive as global collaboration becomes vital. As companies digitally transform and become data-driven, each department and team needs to find its own ways to embrace data and insights to make smarter decisions. The HR analytics continuum.

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People Analytics Analytics Cost-Benefit Key Performance Indicator 74

IBM Big Data Hub

JANUARY 17, 2023

Due to the convergence of events in the data analytics and AI landscape, many organizations are at an inflection point. The kind of digital transformation that an organization gets with data integration ensures that the right data can be delivered to the right person at the right time. Start a trial. AI governance.

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Data-driven Enterprise Data Governance Prescriptive Analytics 57

Cloudera

FEBRUARY 4, 2019

Built on 100% open source technology, CDF helps you deliver a better customer experience, boost your operational efficiency and stay ahead of the competition across all your strategic digital initiatives. Process millions of real-time messages per second to feed into your data lake or for immediate streaming analytics.

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IoT Prescriptive Analytics Digital Transformation Internet of Things 72

Andrew White

JANUARY 11, 2021

It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. The fill report is here: Leadership Vision for 2021: Data and Analytics. What are you seeing as the differences between a Chief Analytics Officer and the Chief Data Officer?

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Data Analytics Analytics Data-driven Finance 52

Alation

AUGUST 26, 2021

Answering these questions can improve operational efficiencies and inform a number of data intelligence use cases, which include data governance, self-service analytics, and more. Cloud Transformation. Digital Transformation. Augmented Analytics. Why keep data at all? Cloud Data Migration. Why reinvent the wheel?

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