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

Cloudera

AUGUST 30, 2022

In some cases, firms are surprised by cloud storage costs and looking to repatriate data. We encourage organizations to start with their business goals, followed by the data strategy to support those goals. Providers should also examine the data governance approach required to manage the chosen environments adequately.

Strategy 101

Strategy Data Strategy ROI Cost-Benefit 101

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

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

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

Cloudera

MARCH 25, 2021

Will the data privacy controls ultimately help create an enterprise approach to data? Data lies at the heart of knowing the customer and enabling a better customer experience. Risk management can be optimized by the improved use of data and analytics to run models, account for more variables and scrutinize probable outcomes.

Data Strategy 64

Data Strategy Strategy Enterprise Insurance 64

Alation

MARCH 29, 2023

I got to experience the agnostic partner approach where you’re working with folks as an advisor, guiding them to the right decisions based on their history, appetite for risk, business goals, et cetera. And that department is supposed to make real-time type policies based on that new data.

Data Strategy 52

Data Strategy Strategy Data Governance Sales 52

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

TDAN

APRIL 6, 2021

There are also emerging concerns about the ways that big data analytics potentially influence and bias automated decision-making. Individuals are starting to pay attention to organizational vulnerabilities that compound risks associated with managing, protecting, and enabling access […].

Risk Management 64

Risk Management Risk Management Big Data 64

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

TDAN

OCTOBER 3, 2023

During the CDM Media’s September 2023 Houston CDO and CIO/CISO Summit, I joined a group of business and IT leaders across various industries to share perspectives and best practices. I also participated in an executive dinner and roundtable to focus on artificial intelligence (AI).

Risk 52

Risk IT Data Governance Data Strategy 52

TDAN

NOVEMBER 2, 2021

We treat data as inventory, data management as manufacturing, and business output as finished goods. The goal is to go from inventory to finished goods with as little waste, cost, and risk as possible. Anything […].

Data Governance 52

Data Governance Operational Reporting Manufacturing Risk 52

IBM Big Data Hub

APRIL 8, 2024

Gartner has estimated that 80% of organizations fail to scale digital businesses because of outdated governance processes. 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

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

Alation

JULY 15, 2022

I recently led an online session, Data Monetisation and Governance , looking at the evolution of data governance , defining data ethics (from the Turing Institute ), and touching on the balancing act between using data to monetise (by increasing revenue, decreasing spend, or mitigating risk) and meeting ethical obligations.

Cost-Benefit 89

Cost-Benefit Data Governance ROI Risk 89

CIO Business Intelligence

JUNE 30, 2023

And we’ll let you in on a secret: this means nailing your data strategy. All of this renewed attention on data and AI, however, brings greater potential risks for those companies that have less advanced data strategies. But it all depends upon a solid, trusted data foundation.

Internet of Things 104

Internet of Things Strategy Risk Data Strategy 104

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. Why you should automate data governance and how a data fabric architecture helps.

Data-driven 58

Data-driven Enterprise Data Governance Data Lake 58

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

erwin

SEPTEMBER 13, 2022

Speakers will cover data intelligence and governance on the first day of the summit. 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.

Data Governance 52

Data Governance Data-driven Data Architecture Data Quality 52

erwin

JANUARY 17, 2020

In the modern context, data modeling is a function of data governance. While data modeling has always been the best way to understand complex data sources and automate design standards, modern data modeling goes well beyond these domains to accelerate and ensure the overall success of data governance in any organization.

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

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

TDAN

NOVEMBER 15, 2022

At the recent InfoGovWorld conference, I had the opportunity to participate in a panel discussion about the future of Data Governance. Common themes were the growing importance of governance metadata, especially in the areas of business value, success measurement and reduction in operational and data risk.

Metadata 52

Metadata Management Data Governance Measurement 52

Laminar Security

AUGUST 21, 2023

The Shifting Data Security Landscape Cloud service providers (CSPs) have revolutionized data analytics and data pipelines, presenting data security teams with novel challenges. The Importance of DSPM As data proliferates across the cloud, the need to identify and address privacy and security risks becomes paramount.

Management 40

Management Risk Unstructured Data Data Strategy 40

Ontotext

SEPTEMBER 1, 2023

LLMs can even take tone and style into account where responses can be modified by incorporating personas such as asking ChatGPT (powered by an LLM) to explain the concept of data governance through a Taylor Swift style lyric. For example, if input training data is of bad quality, the results from AI algorithms will be substandard too.

Risk 52

Risk Modeling Data Quality Data Governance 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

CIO Business Intelligence

APRIL 29, 2022

Data-first leaders are: 11x more likely to beat revenue goals by more than 10 percent. 5x more likely to be highly resilient in terms of data loss. 4x more likely to have high job satisfaction among both developers and data scientists. Create a CXO-driven data strategy. Prioritize your investments.

Digital Transformation 132

Digital Transformation Strategy Data-driven Data Strategy 132

CIO Business Intelligence

MARCH 8, 2023

Getting there requires process and operational transformation, new levels of data governance and accountability, business and IT collaboration, and customer and stakeholder trust. 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

AWS Big Data

JANUARY 31, 2023

Data governance is the collection of policies, processes, and systems that organizations use to ensure the quality and appropriate handling of their data throughout its lifecycle for the purpose of generating business value.

Data Lake 81

Data Lake Data Governance Data Architecture Machine Learning 81

Anmut

APRIL 6, 2023

By regularly conducting data maturity assessments, you can catch potential issues early and make proactive changes to supercharge your business’s success. Cost savings By identifying areas where data management processes can be optimised, organisations can reduce costs associated with data management and analysis.

Cost-Benefit 52

Cost-Benefit Data Quality Data Governance Measurement 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

Cloudera

SEPTEMBER 29, 2021

This resulted in staff spending more time on more complex tasks while also reducing human errors and security risks. Providing more value to citizens through data. This data can also provide crucial insights should a disease outbreak occur, allowing for an effective and rapid response to curb further outbreaks. .

Digital Transformation 78

Digital Transformation Data Governance Data-driven Uncertainty 78

Cloudera

JUNE 7, 2023

The revised ZTMM is organized by five categories or pillars: identity, devices, networks, applications and workloads, and data, and four levels of maturity: traditional, initial, advanced, and optimal. It operates independently from compute and storage layers, offering integrated security and governance based on metadata.

Metadata 78

Metadata Data Lake Optimization Modeling 78

IBM Big Data Hub

JANUARY 19, 2023

In implementing cohesive data protection initiatives, organizations that can secure their users’ data see huge wins in brand image and customer loyalty and stand out in the marketplace. The key to differentiation comes in getting data protection right, as part of an overall data strategy.

Risk Management 62

Risk Management Risk Strategy Data Strategy 62

Cloudera

JANUARY 27, 2022

Real-time access to phone location data can be used by travel insurers to create products that only become active when the phone (and hopefully the human attached to it) crosses country borders or travels beyond a specific distance. Data Ecosystems Surrounding Insurance. Putting Data to New Use . Always Mindful of Privacy.

Insurance 81

Insurance IoT Risk Data Processing 81

CIO Business Intelligence

NOVEMBER 21, 2023

Eileen Vidrine: Including artificial intelligence within my role and office was a natural progression in fulfilling the mandate of strengthening and modernizing the Department of the Air Force’s data strategy and capabilities. For organizations not currently using AI technologies, there is a risk of falling behind the competition.

Strategy 119

Strategy Machine Learning Technology Data-driven 119

IBM Big Data Hub

APRIL 6, 2023

This proactive approach can help to reduce brand damage risk and demonstrates a commitment to ethical and unbiased hiring practices. CIOs, CDOs, Chief Risk Officers, and Chief Compliance Officers should take the lead in these efforts and monitor whether their organizations comply with all relevant regulations and ethical standards.

Cost-Benefit 57

Cost-Benefit Risk Statistics Machine Learning 57

Smart Data Collective

DECEMBER 21, 2022

Without cleansing, data sets may contain duplicated or outdated information, which could lead to flawed conclusions if used for analysis. Even worse are potential security risks associated with leaving sensitive personal data within a dataset without proper cleansing. To Conclude – clean data makes for reliable analytics.

Business Analytics 108

Business Analytics Analytics Data Quality Big Data 108