AWS Big Data

OCTOBER 21, 2024

Data is the most significant asset of any organization. However, enterprises often encounter challenges with data silos, insufficient access controls, poor governance, and quality issues. Embracing data as a product is the key to address these challenges and foster a data-driven culture.

Sales 115

Sales Data-driven Data Processing Key Performance Indicator 115

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.

Data Governance 76

Data Governance Business Objectives Data Quality Measurement 76

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

datapine

DECEMBER 11, 2019

“Software as a service” (SaaS) is becoming an increasingly viable choice for organizations looking for the accessibility and versatility of software solutions and online data analysis tools without the need to rely on installing and running applications on their own computer systems and data centers. How will AI improve SaaS in 2020?

Software 314

Software Cost-Benefit Data-driven Data Processing 314

CIO Business Intelligence

MARCH 7, 2023

Some IT organizations elected to lift and shift apps to the cloud and get out of the data center faster, hoping that a second phase of funding for modernization would come. There are similar concerns for CIOs looking to build data and analytics capabilities. Release an updated data viz, then automate a regression test.

Digital Transformation 145

Digital Transformation Data Governance Machine Learning Experimentation 145

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-driven 131

Data-driven Data Strategy Data Quality Data Governance 131

BI-Survey

MARCH 19, 2025

Imagine standing at the entrance of a vast, ever-expanding labyrinth of data. This is the challenge facing organizations, especially data consumers, today as data volumes explode and complexity multiplies. The compass you need might just be Data Intelligenceand it’s more crucial now than ever before.

Metadata 52

Metadata Data-driven Unstructured Data Data Governance 52

CIO Business Intelligence

NOVEMBER 2, 2023

Rapid advancements in artificial intelligence (AI), particularly generative AI are putting more pressure on analytics and IT leaders to get their houses in order when it comes to data strategy and data management. But the enthusiasm must be tempered by the need to put data management and data governance in place.

Data Strategy 137

Data Strategy Strategy Sales Data Governance 137

CIO Business Intelligence

JULY 23, 2024

One approach is to define and seek agreement of non-negotiables with the board and executive committee, outlining criteria of when upgrading legacy systems must be prioritized above other business objectives. Now, add data, ML, and AI to the areas driving stress across the organization.

Risk 142

Risk IT Risk Management Cost-Benefit 142

Alation

NOVEMBER 23, 2021

The same could be said about data governance : ask ten experts to define the term, and you’ll get eleven definitions and perhaps twelve frameworks. However it’s defined, data governance is among the hottest topics in data management. This is the final post in a four-part series discussing data culture.

Data Governance 52

Data Governance Data-driven Data Processing Metrics 52

Alation

NOVEMBER 17, 2022

But what does it mean for an organisation to be truly data-driven? What foundation needs to be in place at the start, and what journey does an organisation need to embrace to benefit from the forensic insights their data can reveal? Step 1 – Be clear about your business objectives. Being profitable (19 times).

Data-driven 52

Data-driven Cost-Benefit Business Objectives Technology 52

Ontotext

FEBRUARY 12, 2024

In the final part of this three-part series, we’ll explore ho w data mesh bolsters performance and helps organizations and data teams work more effectively. Usually, organizations will combine different domain topologies, depending on the trade-offs, and choose to focus on specific aspects of data mesh.

Data-driven 59

Data-driven Data Lake Data Quality Business Objectives 59

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

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

CIO Business Intelligence

FEBRUARY 7, 2024

As enablers for the integration of data and business services across platforms, APIs are very aligned with current tech trends,” says Antonio Vázquez, CIO of software company Bizagi. Ajay Sabhlok, CIO and CDO at zero trust data security company Rubrik, Inc.,

Business Objectives 124

Business Objectives Cost-Benefit Strategy Data-driven 124

AWS Big Data

JUNE 25, 2024

This post is co-authored by Vijay Gopalakrishnan, Director of Product, Salesforce Data Cloud. In today’s data-driven business landscape, organizations collect a wealth of data across various touch points and unify it in a central data warehouse or a data lake to deliver business insights.

Data Lake 122

Data Lake Cost-Benefit Data-driven Data Warehouse 122

TDAN

MARCH 16, 2021

No matter where data comes from, becoming data-driven depends on every member of your organization being able to find, access, and use the data they need.

Business Objectives 87

Business Objectives Data-driven IT Metadata 87

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. Nine Steps to Data Modeling.

Modeling 98

Modeling Metadata Data Governance Visualization 98

CIO Business Intelligence

JUNE 11, 2024

One reason CEOs restructure new digital, data, AI, or experience departments with separate C-level leaders is if IT is underperforming and the CIO isn’t driving transformation. What dataops, data governance, machine learning, and AI capabilities are IT developing as competitive differentiators?

IT 136

IT Digital Transformation Broadcasting Business Objectives 136

Octopai

JULY 11, 2022

BAAAAAAAAD data. Okay, maybe “less-than-stellar-quality” data, if you want to be PC about it. But you see the “way-less-than-stellar” impact this data is having on your ostensibly data-driven organization. Tie data quality directly to business objectives. Better data quality?

Data Quality 98

Data Quality Strategy Business Objectives Sales 98

datapine

FEBRUARY 22, 2022

Over the past 5 years, big data and BI became more than just data science buzzwords. Without real-time insight into their data, businesses remain reactive, miss strategic growth opportunities, lose their competitive edge, fail to take advantage of cost savings options, don’t ensure customer satisfaction… the list goes on.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Dashboards 218

CIO Business Intelligence

AUGUST 20, 2024

Pre-pandemic, high-performance teams were co-located, multidisciplinary, self-organizing, agile, and data-driven. These teams focused on delivering reliable technology capabilities, improving end-user experiences, and establishing data and analytics capabilities.

IT 141

IT Digital Transformation Experimentation Risk 141

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. Without a data champion, the C-suite can overlook and even ignore data.

IT 78

IT Data Strategy Data-driven ROI 78

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

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 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. In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges.

Data Strategy 98

Data Strategy Strategy Data Warehouse Prescriptive Analytics 98

IBM Big Data Hub

OCTOBER 20, 2023

AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually. 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 Deep Learning Cost-Benefit 71

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

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 Architecture 52

Data Architecture Data Quality Strategy Data Lake 52

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

FineReport

APRIL 9, 2024

Evolving BI Tools in 2024 Significance of Business Intelligence In 2024, the role of business intelligence software tools is more crucial than ever, with businesses increasingly relying on data analysis for informed decision-making.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 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

Alation

MARCH 14, 2023

Data gathering and use pervades almost every business function these days — and it’s widely acknowledged that businesses with a clear strategy around data are best placed to succeed in competitive, challenging markets such as defence. What is a data strategy? Why is a data strategy important?

Data Strategy 52

Data Strategy Strategy Metadata Data Quality 52

Ontotext

MAY 16, 2024

Acknowledging the significance of how these critical enablers define, contextualize, and constrain data for consistency and trust, is all part of the maturity process for today’s enterprise. The goal at this stage of development is to build a scalable and resilient semantic graph as a data hub for all business-driven use cases.

Enterprise 52

Enterprise Data-driven Cost-Benefit Business Objectives 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

O'Reilly on Data

JULY 28, 2020

It sounds simplistic to state that AI product managers should develop and ship products that improve metrics the business cares about. It’s often difficult for businesses without a mature data or machine learning practice to define and agree on metrics. Agreeing on metrics. This is particularly true for AI products.

Marketing 364

Marketing Experimentation Metrics Testing 364