IBM Big Data Hub

JANUARY 25, 2023

In our last blog , we introduced Data Governance: what it is and why it is so important. In this blog, we will explore the challenges that organizations face as they start their governance journey. Organizations have long struggled with data management and understanding data in a complex and ever-growing data landscape.

Data Governance 52

Data Governance Data-driven Strategy Management 52

IBM Big Data Hub

JUNE 8, 2022

Implementing the right data strategy spurs innovation and outstanding business outcomes by recognizing data as a critical asset that provides insights for better and more informed decision-making. Whether data protection regulations like GDPR, CCPA, HIPAA, etc. Proper levels of data protection and data security.

Data-driven 58

Data-driven Enterprise Data Governance Data Lake 58

TDAN

JANUARY 19, 2021

In October 2020, the Office of the Comptroller of the Currency (OCC) announced a $400 million civil monetary penalty against Citibank for deficiencies in enterprise-wide risk management, compliance risk management, data governance, and internal controls.

Data Governance 80

Data Governance Risk Management Risk Management 80

Alation

SEPTEMBER 9, 2021

Internal and external auditors work with many different systems to ensure this data is protected accordingly. This is where data governance comes in: A robust program allows banks and financial institutions to use this data to build customer trust and still meet compliance mandates. What is Data Governance in Banking?

Data Governance 52

Data Governance Data Strategy Strategy Risk 52

Alation

MARCH 29, 2023

So, once public data leaders start to think of themselves more as enterprise-type customers, they can start to see, “Oh, I do need a data intelligence platform because I have the same amount of data, if not more, than a similarly sized commercial company has.” Alation moves the governance to the point of consumption.

Data Strategy 52

Data Strategy Strategy Data Governance Sales 52

TDAN

MAY 2, 2023

Achieving Enterprise Data Awareness is a natural maturity progression within the governance domain. At this stage, companies rightly see Data Governance and Information Governance as a large metadata puzzle.

Enterprise 52

Enterprise Metadata Data Governance Data Strategy 52

CIO Business Intelligence

NOVEMBER 28, 2023

Still, to truly create lasting value with data, organizations must develop data management mastery. This means excelling in the under-the-radar disciplines of data architecture and data governance. Contributing to the general lack of data about data is complexity. Seven individuals raised their hands.

Management 131

Management Data Architecture Data Lake Data Strategy 131

Cloudera

APRIL 18, 2024

More Businesses Are Taking a Holistic Approach to Data Strategy One of the more common trends we saw coming up through conversations during the summit was the need for a reframing of how we approach data strategy—taking a much more holistic viewpoint to it than organizations otherwise would have in past years.

Analytics 104

Analytics Metadata Data Strategy Optimization 104

CIO Business Intelligence

MARCH 4, 2024

The data mesh debate This is not to say that there is a consensus that data mesh is a universal solution. Stakeholders are currently waging an open debate across the industry of centralization versus federated data strategies.

Insurance 98

Insurance Strategy Data Governance Data Integration 98

IBM Big Data Hub

APRIL 8, 2024

In a world where every company is now a technology company, all enterprises must become well-versed in managing their digital products to remain competitive. In other words, they need a robust digital product lifecycle management (PLM) strategy. Data is an asset, but to provide value, it must be organized, standardized and governed.

Data-driven 61

Data-driven Management Data Governance Strategy 61

CIO Business Intelligence

MARCH 8, 2023

According to Infosys research, data and artificial intelligence (AI) could generate $467 billion in incremental profits worldwide and become the cornerstone of enterprises gaining a competitive edge. The reality is many organisations still struggle with the data and analytics foundations required to progress down an advanced AI path.

Enterprise 52

Enterprise Data Governance Data Strategy Testing 52

CIO Business Intelligence

NOVEMBER 17, 2022

As companies start to adapt data-first strategies, the role of chief data officer is becoming increasingly important, especially as businesses seek to capitalize on data to gain a competitive advantage. Analytics, Careers, Data Management, IT Leadership, Resumes

Data Governance 127

Data Governance Data Transformation Strategy Reporting 127

TDAN

MARCH 6, 2024

In the digital era, navigating the choppy waters of data governance poses a significant challenge for enterprises. On one end of the spectrum, a rigid command-and-control approach stifles innovation and agility, turning data management into a bottleneck rather than a boon.

Data Governance 59

Data Governance Strategy Risk Enterprise 59

Ontotext

MARCH 8, 2023

Use Case #1: Customer 360 / Enterprise 360 Customer data is typically spread across multiple applications, departments, and regions. Each team and system need to keep diverse sets of data about their customers in order to play their specific role – inadvertently leading to siloed experiences.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

CIO Business Intelligence

MARCH 27, 2024

Le aziende italiane investono in infrastrutture, software e servizi per la gestione e l’analisi dei dati (+18% nel 2023, pari a 2,85 miliardi di euro, secondo l’Osservatorio Big Data & Business Analytics della School of Management del Politecnico di Milano), ma quante sono giunte alla data maturity?

Data Governance 52

Data Governance Data Lake Data Strategy Data-driven 52

TDAN

MARCH 5, 2019

It seems like we’re so busy running that we no longer have time to think. We want to be faster and more responsive, but we aren’t even sure what we are trying to achieve. It’s like the person at your office that is always too busy, is working extra-long hours (and makes sure that everybody […].

Data Governance 53

Data Governance Enterprise Data Architecture IT 53

CIO Business Intelligence

AUGUST 2, 2023

Ryan Snyder: For a long time, companies would just hire data scientists and point them at their data and expect amazing insights. That strategy is doomed to fail. The best way to start a data strategy is to establish some real value drivers that the business can get behind. It’s given us agility.

Manufacturing 98

Manufacturing Data Architecture Strategy Data Strategy 98

bridgei2i

APRIL 28, 2020

PODCAST: COVID 19 | Redefining Digital Enterprises. Episode 2: How Data & Analytics Can Help in a Downturn. How Data & Analytics Can Help in a Downturn. In this episode, best-selling author and expert on Infonomics, Doug Laney delves into how enterprises can navigate their way out of the crisis by leveraging data.

Enterprise 103

Enterprise Data Analytics Analytics Forecasting 103

Timo Elliott

JANUARY 6, 2022

Like the proverbial man looking for his keys under the streetlight , when it comes to enterprise data, if you only look at where the light is already shining, you can end up missing a lot. If storage costs are escalating in a particular area, you may have found a good source of dark data. Analyze your metadata. Create a catalog.

IT 133

IT Metadata Data-driven Data Governance 133

CIO Business Intelligence

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. Data architects are frequently part of a data science team and tasked with leading data system projects.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

Cloudera

OCTOBER 19, 2022

For example, concerns about compliance with volatile data protection regulations, the need for multi-cloud capabilities, and the demands of enterprise customers (especially the government) require data architecture options. 2- AI capability drives data monetization.

Optimization 77

Optimization Data Architecture Data Governance Digital Transformation 77

Cloudera

JANUARY 28, 2022

Then there are the more extensive discussions – scrutiny of the overarching, data strategy questions related to privacy, security, data governance /access and regulatory oversight. These are not straightforward decisions, especially when data breaches always hit the top of the news headlines.

Slice and Dice 109

Slice and Dice Cost-Benefit Risk Data Governance 109

erwin

SEPTEMBER 13, 2022

Day one will feature presentations from industry experts and experienced data professionals on the initiatives and tactical measures being taken by data-driven enterprises to reap the benefits of data intelligence and governance. Learn how to maximize the business impact of your data.

Data Governance 52

Data Governance Data-driven Data Architecture Data Quality 52

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 145

Digital Transformation Data-driven Business Objectives Strategy 145

TDAN

AUGUST 1, 2023

At a recent Data Governance conference, we had the opportunity to review several leading governance technology solutions. As practitioner of Lean Governance. we are forever on the hunt for solutions that drive total data awareness across the enterprise. […] As practitioner of Lean Governance.

Data Governance 52

Data Governance Enterprise Technology Metadata 52

erwin

JANUARY 17, 2020

Data models provide visualization, create additional metadata and standardize data design across the enterprise. As the value of data and the way it is used by organizations has changed over the years, so too has data modeling. In the modern context, data modeling is a function of data governance.

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

CIO Business Intelligence

NOVEMBER 16, 2022

It’s not necessarily about a job or promotion; it’s about the experiences that someone wants to have in their career, because it’s those experiences that are required if you want to be a global CIO or an enterprise architect. On the enterprise data strategy: I am a self-admitted data geek.

IT 133

IT Modeling Digital Transformation Data Governance 133

CIO Business Intelligence

MARCH 27, 2023

Organizations are still investing in data and analytics functions. Respondents to the survey reported their organizations are increasing investment in data management (65%), data governance (63%), and advanced analytics (60%). million, and 44% said their data and analytics teams increased in size over the past year.

Data-driven 145

Data-driven Data Quality Strategy Reporting 145

Alation

JULY 15, 2022

New regulations covering data privacy and other ethical concerns require that enterprises govern internal data processes according to these new laws. And, while change at large organisations is tough, data leaders would be wise to reframe such transformations as business opportunities rather than burdens.

Cost-Benefit 89

Cost-Benefit Data Governance ROI Risk 89

CIO Business Intelligence

APRIL 29, 2022

The data-first transformation journey can appear to be a lengthy one, but it’s possible to break it down into steps that are easier to digest and can help speed you along the pathway to achieving a modern, data-first organization. Key features of data-first leaders. 5x more likely to be highly resilient in terms of data loss.

Digital Transformation 131

Digital Transformation Strategy Data-driven Data Strategy 131

TDAN

OCTOBER 6, 2020

Gone are the days when enterprises just collected data. With the corporate world stepping towards “data driven decision making” approach, data has assumed an overwhelming importance as invaluable asset for making strategic decisions. To meet the new age […].

Enterprise 52

Enterprise Data-driven Management Data Governance 52

TDAN

JANUARY 19, 2021

It’s been a while since I’ve written about the goals and objectives of an Enterprise Data Management (EDM) Program and how organizations achieve and sustain significant improvements in fundamental data management disciplines in their journey to Great Data. We’ll summarize the collective […].

Enterprise 52

Enterprise Strategy Management Data Quality 52

Cloudera

FEBRUARY 23, 2022

Their processes are ‘data driven’, their networks are trending towards automation, and AI systems are powering customer engagement in store , online and at home. This is all based on an enterprise IT architecture that is integrated, data rich, and agile. When it comes to enterprise offerings, it might be competitive.

Data-driven 89

Data-driven Advertising IoT Digital Transformation 89

Andrew White

OCTOBER 20, 2022

D&A Governance/MDM/Getting re-started 22. Data & Analytics Strategy 9. Application Data Mgt/ERP Data Governance 7. D&A Governance specific to analytics pipeline 7. Analytics/BI/Data Science 6. Becoming Data Driven/Data Literacy 5. AI and ML Strategy and Leverage 2.

IT 52

IT Insurance Manufacturing Data-driven 52

TDAN

JANUARY 17, 2023

In 2022, we saw that Data Strategy played key role in the success of top performing companies globally. is being “data driven”. This article is continuation of the proposed enterprise data management block […].

Data Strategy 52

Data Strategy Data-driven Strategy Enterprise 52

IBM Big Data Hub

JANUARY 5, 2023

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. Several factors determine the quality of your enterprise data like accuracy, completeness, consistency, to name a few.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

Anmut

MARCH 22, 2023

As such, rudimentary data is used for reporting purposes, but it doesn’t influence wider business operations or strategic decision-making. This stage is typical for organisations that are just starting to develop their data strategy. Data lineage is understood, but only partially mapped. Nurturing internal support.

Measurement 52

Measurement Modeling Data Quality Data Governance 52