David Menninger's Analyst Perspectives

APRIL 23, 2020

Effectively managing data privacy and security is a high-stakes matter. Yet organizations face an equally challenging imperative to ensure that business users have easy access to the data they need.

Data Governance 130

Data Governance Internet of Things Management IT 130

CIO Business Intelligence

JULY 23, 2023

The answer for many businesses has been automation, with countless large and highly regulated organizations turning to automation software to even the content management and compliance playing field. Automation swiftly empowers organizations to respond to the growing needs for data security and compliance. Data Management

Data Governance 98

Data Governance Unstructured Data Cost-Benefit Machine Learning 98

David Menninger's Analyst Perspectives

APRIL 8, 2021

Organizations are accelerating their digital transformation and looking for innovative ways to engage with customers in this new digital era of data management. The challenge is to ensure that processes, applications and data can still be integrated across cloud and on-premises systems.

Management 215

Management Digital Transformation Business Intelligence Internet of Things 215

erwin

OCTOBER 8, 2020

So if you’re going to move from your data from on-premise legacy data stores and warehouse systems to the cloud, you should do it right the first time. That means your cloud data assets must be available for use by the right people for the right purposes to maximize their security, quality and value.

Data Governance 145

Data Governance Metadata Testing Data Lake 145

erwin

JANUARY 9, 2020

Enterprises are trying to manage data chaos. They also face increasing regulatory pressure because of global data regulations , such as the European Union’s General Data Protection Regulation (GDPR) and the new California Consumer Privacy Act (CCPA), that went into effect last week on Jan.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

CIO Business Intelligence

MARCH 6, 2024

Many of our customers had already started to move their applications and it made sense they would want to transition to data management in the cloud as well. First, we had complete buy-in from the board and the rest of the management team. So what’s the change management lesson here? But it’s not that simple.

Modeling 116

Modeling Management IT Metrics 116

TDAN

FEBRUARY 14, 2023

However, if there is no strategy underlining how and why we collect data and who can access it, the value is lost. Not only that, but we can put our business at serious risk of non-compliance. Ultimately, data governance is central to […]

Data Governance 98

Data Governance Data Analytics Analytics Measurement 98

David Menninger's Analyst Perspectives

NOVEMBER 16, 2021

Talend is a data integration and management software company that offers applications for cloud computing, big data integration, application integration, data quality and master data management.

Management 311

Management Data Warehouse Data Quality Data Integration 311

CIO Business Intelligence

NOVEMBER 28, 2023

To avoid the inevitable, CIOs must get serious about data management. Data, of course, has been all the rage the past decade, having been declared the “new oil” of the digital economy. Still, to truly create lasting value with data, organizations must develop data management mastery.

Management 131

Management Data Architecture Data Lake Data Strategy 131

Octopai

JUNE 26, 2020

Steve, the Head of Business Intelligence at a leading insurance company, pushed back in his office chair and stood up, waving his fists at the screen. We’re dealing with data day in and day out, but if isn’t accurate then it’s all for nothing!” Enterprise data governance. Metadata in data governance.

Metadata 84

Metadata Data Governance Enterprise Reporting 84

CIO Business Intelligence

APRIL 29, 2022

Despite soundings on this from leading thinkers such as Andrew Ng , the AI community remains largely oblivious to the important data management capabilities, practices, and – importantly – the tools that ensure the success of AI development and deployment. Recommendations for Data and AI Leaders. Addressing the Challenge.

Data Governance 145

Data Governance IT Risk Data Lake 145

Alation

JANUARY 26, 2023

What’s worse, just 3% of the data in a business enterprise meets quality standards. There’s also no denying that data management is becoming more important, especially to the public. This has spawned new legislation controlling how data can be collected, stored, and utilized, such as the GDPR or CCPA.

Data Governance 52

Data Governance Strategy Data Quality Marketing 52

CIO Business Intelligence

NOVEMBER 29, 2022

trillion by 2025 — more than double what was spent in 202 As organizations amp up their digital transformation initiatives, which are critical for survival in today’s business climate, they must also consider how to modernize and migrate sensitive data and how it is managed and governed. Data Management

Data Governance 98

Data Governance Digital Transformation Forecasting Software 98

TDAN

JANUARY 14, 2020

Recording requirements for success is an important first step toward demonstrating the value of a Data Governance program. Practitioners know that Data Governance requires planning, resources, money and time and that several of these objects are in short supply.

Data Governance 89

Data Governance Metadata Data Strategy Business Intelligence 89

Alation

JULY 19, 2021

That’s where metadata management best practices can help. Chris Bulock, co-author of Knowledge and Dignity in the Era of “Big Data”. For enterprise data, metadata, and effective metadata management , is a critical component of a good data management strategy. Metadata Management Best Practices.

Metadata 105

Metadata Management Data Governance Machine Learning 105

TDAN

DECEMBER 31, 2019

Organizations that have implemented Data Governance programs, or Information Governance, Data/Information Management or Records Management programs will be the first to tell you that these data disciplines are not easy to operationalize. Managing data as an asset sounds pretty complicated.

Data Governance 78

Data Governance Management Data Quality Data Strategy 78

datapine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes.

Data Quality 241

Data Quality Metrics Data-driven Management 241

erwin

JANUARY 24, 2019

Often these enterprises are heavily regulated, so they need a well-defined data integration model that helps avoid data discrepancies and removes barriers to enterprise business intelligence and other meaningful use. So without further ado, here are the five key benefits of an automation framework for data governance.

Data Governance 71

Data Governance Metadata Data-driven Cost-Benefit 71

David Menninger's Analyst Perspectives

JULY 7, 2022

Organizations are continuously increasing the use of analytics and business intelligence to turn data into meaningful and actionable insights. With a unified BI system, organizations can have a comprehensive view of all organizational data to better manage processes and identify opportunities.

Analytics 279

Analytics Business Intelligence Marketing Management 279

AWS Big Data

SEPTEMBER 25, 2023

We also see more and more data science and machine learning (ML) workloads. Amazon Redshift workload management (WLM) helps you maximize query throughput and get consistent performance for the most demanding analytics workloads by optimally using the resources of your existing data warehouse.

Management 93

Management Data Warehouse Metrics Dashboards 93

CIO Business Intelligence

NOVEMBER 17, 2022

A key component to the appeal of cloud-first business models is cloud technologies’ ability to simplify processes and streamline workflows through integration and automation. This is especially true for content management operations looking to navigate the complexities of data compliance while getting the most from their data.

Software 144

Software Management Digital Transformation Technology 144

TDAN

NOVEMBER 5, 2019

There is … but one … Data Governance. Maybe you are one of those that believe that there is something called Master Data Governance, Information Governance, Metadata Governance, Big Data Governance, Customer [or insert domain name here] Data Governance, Data Governance 1.0 – 2.0 – 3.0, […].

Data Governance 69

Data Governance Metadata Big Data Data Strategy 69

Octopai

OCTOBER 5, 2021

If you work with security or compliance requirements, the data catalog should have built-in capabilities for data tagging, sensitive data indications and approval statuses. . Learning how to use your data catalog software is not like learning how to use a can opener. How good is the support? Making Smart Choices.

Business Intelligence 84

Business Intelligence Software Cost-Benefit Metadata 84

TDAN

AUGUST 20, 2019

The goal of data governance is to ensure the quality, availability, integrity, security, and usability within an organization. Many traditional approaches to data governance seem to struggle in practice; I suspect it is partly because of the cultural impedance mismatch, but also partly because […].

Data Governance 68

Data Governance Strategy Data Architecture IT 68

Alation

SEPTEMBER 7, 2021

In the previous blog , we discussed how Alation provides a platform for data scientists and analysts to complete projects and analysis at speed. In this blog we will discuss how Alation helps minimize risk with active data governance. So why are organizations not able to scale governance? Meet Governance Requirements.

Data Governance 59

Data Governance Risk Data Quality Dashboards 59

TDAN

MARCH 15, 2022

Borne of the Japanese business philosophy, kaizen is most often associated […]. What do all these disciplines have in common? Continuous improvement. Simply put, these systems pursue progress through a proven process. They make testing and learning a part of that process.

Data Governance 98

Data Governance Testing Data Strategy Business Intelligence 98

CIO Business Intelligence

JUNE 28, 2022

Philosophers and economists may argue about the quality of the metaphor, but there’s no doubt that organizing and analyzing data is a vital endeavor for any enterprise looking to deliver on the promise of data-driven decision-making. And to do so, a solid data management strategy is key. Data storage costs are exploding.

Management 138

Management Internet of Things Statistics Data-driven 138

TDAN

APRIL 30, 2019

Roles and responsibilities are the backbone of a successful information or data governance program. To communicate effectively […].

Data Governance 79

Data Governance Data Quality IT Metadata 79

Octopai

APRIL 19, 2021

Aptly named, metadata management is the process in which BI and Analytics teams manage metadata, which is the data that describes other data. In other words, data is the context and metadata is the content. Without metadata, BI teams are unable to understand the data’s full story. Donna Burbank.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

CIO Business Intelligence

APRIL 26, 2024

At the core of its strategy is the mountain of data that TransUnion has acquired — along with more than 25 companies — over decades. That data is in the process of being unified on a multilayered platform that offers a variety of data services, including data ingestion, data management, data governance, and data security.

Modeling 114

Modeling IT Machine Learning Data Governance 114

CIO Business Intelligence

NOVEMBER 15, 2022

Mainframes are still the backbone of many organizations Mainframes have been the backbone of IT infrastructure for mission-critical companies for decades because of their resilience, security, and data governance.

Management 111

Management Data Governance Digital Transformation Risk 111

FineReport

APRIL 9, 2024

Benefits of Healthcare Business Intelligence Tools Improved Decision-Making: Healthcare BI tools enable informed decision-making by providing real-time data analysis and predictive insights. Healthcare data governance plays a pivotal role in ensuring the secure handling of patient data while complying with stringent regulations.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

Jen Stirrup

AUGUST 14, 2019

There can be seen very clearly in the sphere of business intelligence, where the business and IT need to work together to produce an essential component of the function of the organization: reporting, data and information flow. Blueprint for paying back data debt. How can the teams move forward from the impasse?

Business Intelligence 96

Business Intelligence Finance IT Cost-Benefit 96

CIO Business Intelligence

JUNE 14, 2023

Enterprise data management vendor Informatica on Wednesday said that it has acquired London-based startup Privitar for an undisclosed sum in order to boost the data access management capabilities of its Intelligent Data Management Cloud (IDMC).

Management 52

Management Data Governance Enterprise IT 52

David Menninger's Analyst Perspectives

DECEMBER 23, 2022

Analytics processes are all about how organizations use data to create metrics that help manage and improve operations. Yet, the discipline applied to analytics processes seems to be lacking compared to data processes. I’ve pointed out that the weak link in data governance is often analytics.

Metrics 144

Metrics Data Governance Data Processing Management 144

TDAN

JULY 2, 2019

The third and final part of the Non-Invasive Data Governance Framework details the breakdown of components by level, providing considerations for what must be included at the intersections. The squares are completed with nouns and verbs that provide direction for meaningful discussions about how the program will be set up and operate.

Data Governance 74

Data Governance Data Quality Data Architecture Metadata 74

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