CIO Business Intelligence

JUNE 11, 2024

Davis shares this sentiment with other CIOs seeking a seat at the executive table, a change in reporting structure, or, at the very least, recognition beyond IT’s fundamental run-the-business operations responsibilities. One way IT leaders convey this transformed mission is to alter the CIO title.

IT 110

IT Digital Transformation Broadcasting Business Objectives 110

CIO Business Intelligence

OCTOBER 24, 2023

Alternatively, they can accelerate transformation by prioritizing force-multiplying initiatives such as aligning data science and data governance programs or improving IT operations with AIops capabilities. Still, certain issues surface time and time again to trouble business outcomes regardless of the strategic objectives.

Digital Transformation 143

Digital Transformation Data-driven Business Objectives Strategy 143

CIO Business Intelligence

MAY 3, 2022

Last year, Dow took a bold step to make better use of its data. With a goal of eliminating isolated islands of data and making better use of business intelligence as an enterprise asset, the company launched an internal organization that seamlessly integrated IT and the company’s global business units under one umbrella.

Data Quality 72

Data Quality Machine Learning Business Objectives Business Intelligence 72

CIO Business Intelligence

DECEMBER 22, 2023

To tackle that, businesses are turning their budgets toward the cloud, with two out of every three IT decision-makers planning to increase cloud budgets in 2024, and nearly a third (31%) reporting that 31% of their IT budget is earmarked for cloud computing, according to the 2023 Cloud Computing Study from CIO.com parent company Foundry.

Consulting 119

Consulting Software Business Objectives Optimization 119

IBM Big Data Hub

JANUARY 5, 2023

The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases. Steps for developing an effective data strategy include: 1.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

datapine

DECEMBER 11, 2019

It’s also popular amongst businesses for its simplicity and user accessibility, security, and the widespread connectivity that serves to streamline business models, resulting in maximum efficiency across the board. A Betterbuys report reveals that the specific expenditure in the U.S. How will AI improve SaaS in 2020?

Software 314

Software Cost-Benefit Data Processing Data-driven 314

CIO Business Intelligence

MARCH 8, 2023

Enterprises driving toward data-first modernization need to determine the optimal multicloud strategy, starting with which applications and data are best suited to migrate to cloud and what should remain in the core and at the edge. A hybrid approach is clearly established as the optimal operating model of choice.

Manufacturing 77

Manufacturing Business Objectives Cost-Benefit Uncertainty 77

CIO Business Intelligence

AUGUST 5, 2022

Enterprises driving toward data-first modernization need to determine the optimal multicloud strategy, starting with which applications and data are best suited to migrate to cloud and what should remain in the core and at the edge. A hybrid approach is clearly established as the optimal operating model of choice.

IT 87

IT Manufacturing Business Objectives Cost-Benefit 87

AWS Big Data

MARCH 7, 2023

This post also discusses the art of the possible with newer innovations in AWS services around streaming, machine learning (ML), data sharing, and serverless capabilities. A data hub contains data at multiple levels of granularity and is often not integrated.

Analytics 71

Analytics Data Warehouse Data Lake Metadata 71

CIO Business Intelligence

MARCH 7, 2023

While digital initiatives and talent are the board directors’ top strategic business priorities in 2023-2024, IT spending is forecasted to grow by only 2.4% Tech companies have laid off over 250 thousand employees since 2022, and 93% of CEOs report preparing for a US recession over the next 12 to 18 months.

Digital Transformation 143

Digital Transformation Data Governance Experimentation Machine Learning 143

CIO Business Intelligence

NOVEMBER 2, 2023

But the enthusiasm must be tempered by the need to put data management and data governance in place. The Salesforce report found that 87% of technical leaders say that advances in AI make data management a higher priority and 92% say that trustworthy data is needed more than ever before.

Data Strategy 125

Data Strategy Strategy Sales Data Governance 125

CIO Business Intelligence

FEBRUARY 20, 2023

To earn this cert, candidates should know how to maintain and modify Sales Cloud and Service Cloud applications; manage users, data, and security; and construct dashboards, reports, and workflows.

Consulting 60

Consulting B2B Cost-Benefit Sales 60

erwin

MAY 27, 2020

Data modeling supports collaboration among business stakeholders – with different job roles and skills – to coordinate with business objectives. Data resides everywhere in a business , on-premise and in private or public clouds. Enable user configuration and point-and-click report interfaces.

Modeling 98

Modeling Metadata Data Governance Visualization 98

IBM Big Data Hub

OCTOBER 20, 2023

AI technology is quickly proving to be a critical component of business intelligence within organizations across industries. Gaining an understanding of available AI tools and their capabilities can assist you in making informed decisions when selecting a platform that aligns with your business objectives.

Machine Learning 71

Machine Learning Manufacturing Cost-Benefit Deep Learning 71

Alation

DECEMBER 15, 2021

Yet high-volume collection makes keeping that foundation sound a challenge, as the amount of data collected by businesses is greater than ever before. An effective data governance strategy is critical for unlocking the full benefits of this information. Data governance requires a system.

Data Governance 52

Data Governance Strategy Metadata Data Strategy 52

erwin

NOVEMBER 6, 2020

Prashant Parikh, erwin’s Senior Vice President of Software Engineering, talks about erwin’s vision to automate every aspect of the data governance journey to increase speed to insights. Although AI and ML are massive fields with tremendous value, erwin’s approach to data governance automation is much broader.

Data Governance 97

Data Governance Metadata Data-driven Visualization 97

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. Data Intelligence: Origin, Evolution, Use Cases. Examples of Data Intelligence use cases include: Data governance.

Metadata 64

Metadata Data Governance Dashboards Software 64