CIO Business Intelligence

JUNE 23, 2023

According to the MIT Technology Review Insights Survey, an enterprise data strategy supports vital business objectives including expanding sales, improving operational efficiency, and reducing time to market. The problem is today, just 13% of organizations excel at delivering on their data strategy.

Data Strategy 112

Data Strategy Strategy Visualization Consulting 112

IBM Big Data Hub

JUNE 30, 2022

The rise of data strategy. There’s a renewed interest in reflecting on what can and should be done with data, how to accomplish those goals and how to check for data strategy alignment with business objectives. The evolution of a multi-everything landscape, and what that means for data strategy.

Data Strategy 56

Data Strategy Strategy Business Objectives Data-driven 56

Cloudera

JULY 29, 2022

Similarly, data should be treated as a corporate asset with a dedicated long-term strategy that lets the organization store, manage, and utilize its data effectively. Currently, 94% of APAC FSI senior business decision makers see the value of secure, centralized governance over the entire data lifecycle. .

Data Architecture 89

Data Architecture Data Strategy Risk Management Strategy 89

AWS Big Data

MARCH 26, 2024

This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. For example, you can use C360 to segment and create marketing campaigns that are more likely to resonate with specific groups of customers. faster time to market, and 19.1%

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

Anmut

MARCH 24, 2022

The definition of data landscape differs depending on the context and who you ask. There are three common ways to look at and define the “data landscape”: Some people use the term to describe the ever-growing $157 billion-plus global data management market, with a heavy emphasis on navigating the complex world of data technology.

ROI 52

ROI Measurement Data-driven Data Transformation 52

Cloudera

NOVEMBER 25, 2021

A modern, cloud-native data architecture with separation of compute and storage, containerized data services (for agility and elasticity), and object storage (for scale and cost-efficiency). To learn more about how to turn your data strategies into action with our partners and us, visit our Partner page at [link] .

Machine Learning 90

Machine Learning IoT Risk ROI 90

Cloudera

FEBRUARY 22, 2021

The Cloudera Data Platform (CDP) represents a paradigm shift in modern data architecture by addressing all existing and future analytical needs. Accelerating business value is always specific to the industry and client context. reduce technology costs, accelerate organic growth initiatives).

Cost-Benefit 82

Cost-Benefit Data Warehouse Data Processing Data Governance 82