CIO Business Intelligence

MAY 7, 2024

Chief data officers have a lot to think about these days. Chief among them, they must ensure responsible, compliant use of their organizations’ data in the face of increasingly complex regulatory environments across the globe. At the end of the day, it’s all the company’s data or the consumer’s data,” he adds.

Data Strategy 131

Data Strategy Data-driven Data Quality Data Governance 131

IBM Big Data Hub

FEBRUARY 9, 2023

In our last blog , we delved into the seven most prevalent data challenges that can be addressed with effective data governance. Today we will share our approach to developing a data governance program to drive data transformation and fuel a data-driven culture. Don’t try to do everything at once!

Data Governance 76

Data Governance Business Objectives Data Quality Measurement 76

Cloudera

SEPTEMBER 19, 2023

Adding another position may not be terribly appealing, but there is one C-suite role every company should consider—chief data and analytics officer (CDO or CDAO). The CDO is an essential role in a data-driven organization. That being the case, you need a CDO to spearhead and defend that strategy.

IT 77

IT ROI Data Strategy Data-driven 77

AWS Big Data

SEPTEMBER 12, 2024

In the era of digital transformation and data-driven decision making, organizations must rapidly harness insights from their data to deliver exceptional customer experiences and gain competitive advantage. Solution overview Salesforce Data Cloud provides a point-and-click experience to share data with a customer’s AWS account.

Data Lake 92

Data Lake Analytics Data-driven Data Strategy 92

CIO Business Intelligence

OCTOBER 24, 2023

Business drivers for the first wave of digital transformation through 2020 targeted growth, data capabilities, cloud migration, and delivering competitive technology capabilities. With generative AI now a firm digital transformation priority , 2023-24 will mark the beginning of an AI-driven transformation era.

Digital Transformation 145

Digital Transformation Data-driven Business Objectives Strategy 145

Cloudera

JULY 29, 2022

Corporations are generating unprecedented volumes of data, especially in industries such as telecom and financial services industries (FSI). However, not all these organizations will be successful in using data to drive business value and increase profits. Read on to be sure you set yourself up for success. .

Data Architecture 88

Data Architecture Data Strategy Risk Management Strategy 88

Cloudera

JANUARY 5, 2023

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.

Cost-Benefit 52

Cost-Benefit Business Objectives Machine Learning Data Architecture 52

Cloudera

SEPTEMBER 10, 2020

Underlying digital transformation and investment decisions is a precious asset: data. Now more than ever, decision-makers are looking to do more with their data. At the same time IT, whose job it is to ensure security and compliance while meeting the needs of the business, tend to be unfairly blamed for holding projects back.

IT 103

IT Business Objectives Digital Transformation Data-driven 103

Sisense

MARCH 19, 2021

Twenty years ago, no one had heard of a chief data officer. The rise in prominence of data executives goes hand in hand with the rise of the importance of data in the modern business world: Every company must become truly data-driven, and data executives play an outsized role in making that happen.

Data-driven 52

Data-driven Data Strategy Strategy Business Objectives 52

IBM Big Data Hub

JANUARY 5, 2023

Poor data quality is one of the top barriers faced by organizations aspiring to be more data-driven. Ill-timed business decisions and misinformed business processes, missed revenue opportunities, failed business initiatives and complex data systems can all stem from data quality issues.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

BizAcuity

APRIL 1, 2023

Thanks to the recent technological innovations and circumstances to their rapid adoption, having a data warehouse has become quite common in various enterprises across sectors. However, many businesses seem to face a lot of challenges, which includes ensuring a ‘single source of truth’ across the organization.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

BizAcuity

JANUARY 31, 2023

Thanks to the recent technological innovations and circumstances to their rapid adoption, having a data warehouse has become quite common in various enterprises across sectors. However, many businesses seem to face a lot of challenges, which includes ensuring a ‘single source of truth’ across the organization.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

AWS Big Data

AUGUST 27, 2024

Director of Product, Salesforce Data Cloud. In today’s ever-evolving business landscape, organizations must harness and act on data to fuel analytics, generate insights, and make informed decisions to deliver exceptional customer experiences. What is Salesforce Data Cloud? What is Amazon Redshift?

Data Lake 89

Data Lake Analytics Data-driven Management 89

CIO Business Intelligence

MARCH 15, 2022

The importance of data-driven insights may dominate C-level discussions, but evolving IT culture and business workflows that can successfully harness that data is less about talk and more about iterative action. They must also promote data as a shared business asset with value to drive agility and profitability.

IT 98

IT Data-driven Business Objectives Digital Transformation 98

Andrew White

NOVEMBER 1, 2019

Only 3 years ago (see Data and Analytics Strategies Need More-Concrete Metrics of Success ) where we reviewed all the data strategies we had seen in the previous couple of years and less than 15% of them had concrete measurable outcomes. Most of these strategies were effectively based on faith, hope, and charity.

Strategy 56

Strategy Analytics Data-driven Data Strategy 56

BI-Survey

FEBRUARY 17, 2020

Data is everywhere. With the growing interconnectedness of people, companies and devices, we are now accumulating increasing amounts of data from a growing variety of channels. New data (or combinations of data) enable innovative use cases and assist in optimizing internal processes.

Data Governance 89

Data Governance Data Warehouse Data Quality Data Strategy 89

IBM Big Data Hub

FEBRUARY 1, 2024

From a business and IT perspective, this helps in cycle time and eventually price per business object. IT project issues You’d like to worry less about physical provisioning of capacity within your data centre and rely more on faster onboarding of new resources in terms of on-demand capacity.

Cost-Benefit 84

Cost-Benefit Testing Business Objectives Management 84

Alation

FEBRUARY 10, 2023

What do The Sopranos, Breaking Bad, and Data Radicals have in common? (No, That’s why I’m excited for the second season of Data Radicals , which launches on February 15. She told me they first started looking at their data at one of their cafeterias [in France] and saw an increase in the sale of breakfast sausage.

Data-driven 52

Data-driven Broadcasting Sales Strategy 52

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. Building the right data model is an important part of your data strategy.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

Alation

MAY 12, 2022

Or, rather, every successful company these days is run with a bias toward technology and data, especially in the manufacturing industry. technologies, manufacturers must deploy the right technologies and, most importantly, leverage the resulting data to make better, faster decisions. All personas access and use data appropriately, and.

Manufacturing 52

Manufacturing Data Governance Cost-Benefit IoT 52

Anmut

MARCH 24, 2022

A closer look at the importance (and transformational value) of your organisation’s data landscape. After decades in the background, data is currently king of the business world. What is a data landscape? The definition of data landscape differs depending on the context and who you ask.

ROI 52

ROI Measurement Data-driven Data Transformation 52

CIO Business Intelligence

APRIL 6, 2022

By George Trujillo, Principal Data Strategist, DataStax. I’ve been a data practitioner responsible for the delivery of data management strategies in financial services, online retail, and just about everything in between. 2) The real-time data pattern. Real-time data flows through a data ecosystem.

Cost-Benefit 135

Cost-Benefit Digital Transformation Data-driven Strategy 135

Cloudera

SEPTEMBER 10, 2024

Without a doubt, Artificial Intelligence (AI) is revolutionizing businesses, with Australia’s AI spending expected to hit $6.4 However, according to The State of Enterprise AI and Modern Data Architecture report, while 88% of enterprises adopt AI, many still lack the data infrastructure and team skilling to fully reap its benefits.

Cost-Benefit 52

Cost-Benefit Data Architecture Metrics Measurement 52

Alation

DECEMBER 15, 2021

Modern business is built on a foundation of trusted data. 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 52

Data Governance Strategy Metadata Data Strategy 52

Alation

AUGUST 26, 2021

What Is Data Intelligence? Data intelligence is a system to deliver trustworthy, reliable data. It includes intelligence about data, or metadata. IDC coined the term, stating, “data intelligence helps organizations answer six fundamental questions about data.” These questions are: Who is using what data?

Metadata 64

Metadata Data Governance Dashboards Software 64

Alation

FEBRUARY 10, 2022

Data classification is necessary for leveraging data effectively and efficiently. Effective data classification helps mitigate risk, maintain governance and compliance, improve efficiencies, and help businesses understand and better use data. Manual Data Classification. Manual Data Classification.

Data Governance 52

Data Governance Risk Insurance Business Objectives 52