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

IBM Big Data Hub

NOVEMBER 4, 2022

Data is the new oil and organizations of all stripes are tapping this resource to fuel growth. However, data quality and consistency are one of the top barriers faced by organizations in their quest to become more data-driven. Unlock quality data with IBM. and its leading data observability offerings.

Data Quality 56

Data Quality Metadata Data Governance Data-driven 56

TDAN

OCTOBER 3, 2023

My recent columns have focused on actionable initiatives that can both deliver business value, providing a tangible achievement, and raise the profile of the data management organization data management organization (DMO).(For In that light, let’s […]

Data Quality 52

Data Quality Enterprise Management Data Governance 52

Alation

AUGUST 5, 2021

What is Data Quality? Data quality is defined as: the degree to which data meets a company’s expectations of accuracy, validity, completeness, and consistency. By tracking data quality , a business can pinpoint potential issues harming quality, and ensure that shared data is fit to be used for a given purpose.

Data Quality 52

Data Quality IT Data Governance Sales 52

BI-Survey

FEBRUARY 17, 2020

From operational systems to support “smart processes”, to the data warehouse for enterprise management, to exploring new use cases through advanced analytics : all of these environments incorporate disparate systems, each containing data fragments optimized for their own specific task. .

Data Governance 89

Data Governance Data Warehouse Data Quality Data Strategy 89

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. Further, data management activities don’t end once the AI model has been developed.

Data Governance 144

Data Governance IT Risk Data Lake 144

Alation

JANUARY 26, 2023

However, data needs to be easily accessible, usable, and secure to be useful — yet the opposite is too often the case. 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.

Data Governance 52

Data Governance Strategy Data Quality Marketing 52

CIO Business Intelligence

MAY 3, 2022

Last year, Dow took a bold step to make better use of its data. With a goal of eliminating isolated islands of data and making better use of business intelligence as an enterprise asset, the company launched an internal organization that seamlessly integrated IT and the company’s global business units under one umbrella.

Data Quality 74

Data Quality Machine Learning Business Objectives Business Intelligence 74

CIO Business Intelligence

FEBRUARY 2, 2024

As data and analytics become the beating heart of the enterprise, it’s increasingly critical for the business to have access to consistent, high-quality data assets. Master data management (MDM) is required to ensure the enterprise’s data is consistent, accurate, and controlled.

Management 110

Management Data Governance Cost-Benefit Testing 110

Alation

DECEMBER 15, 2021

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 requires a system.

Data Governance 52

Data Governance Strategy Metadata Data Strategy 52

CIO Business Intelligence

JANUARY 24, 2024

Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Here are some data strategy mistakes IT leaders would be wise to avoid.

Data Strategy 134

Data Strategy Strategy Unstructured Data Data Governance 134

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

Jim Harris

DECEMBER 24, 2015

Have you ever experienced that sinking feeling, where you sense if you don’t find data quality, then data quality will find you? I hope that you enjoy reading this blog post, but most important, I hope you always remember: “Data are friends, not food.” Data Silos. Data Profiling. “I Defect Prevention.

Data Quality 56

Data Quality Enterprise Business Intelligence Data Governance 56

Alation

OCTOBER 12, 2021

How can we grow our business faster? Enterprise data analytics enables businesses to answer questions like these. Having a data analytics strategy is a key to delivering answers to these questions and enabling data to drive the success of your business. What is Enterprise Data Analytics?

Strategy 52

Strategy Enterprise Analytics Data Governance 52

BI-Survey

FEBRUARY 6, 2020

Modernizing and optimizing enterprise reporting – or classical BI – has not been such a priority for many of today’s organizations, even though it constitutes the backbone of information supply for decision support. Technological innovations and their increasing proliferation are shaping enterprise reporting and BI.

Reporting 59

Reporting Optimization Enterprise Data Quality 59

CIO Business Intelligence

MAY 7, 2024

That’s according to a recent report based on a survey of CDOs by AWS in conjunction with the Chief Data Officer and Information Quality (CDOIQ) Symposium. The CDO position first gained momentum around 2008, to ensure data quality and transparency to comply with regulations following the housing credit crisis of that era.

Data Strategy 122

Data Strategy Data-driven Data Quality Strategy 122

erwin

APRIL 29, 2020

Many large organizations, in their desire to modernize with technology, have acquired several different systems with various data entry points and transformation rules for data as it moves into and across the organization. Data lineage offers proof that the data provided is reflected accurately. Data Governance.

Metadata 111

Metadata Data Governance Key Performance Indicator Data Quality 111

IBM Big Data Hub

DECEMBER 16, 2022

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

CIO Business Intelligence

MARCH 4, 2024

Despite these benefits, the core problems that data centralization so often fails to address are the pragmatic realities of many enterprise data ecosystems. These domain data leaders often cite the diminishing returns and significant effort of central data team engagement.

Insurance 84

Insurance Strategy Data Governance Data Integration 84

CIO Business Intelligence

MAY 30, 2024

Dan Roberts: With your experience helping large organizations transform the customer experience and raise the digital quotient enterprise-wide, what advice do you have for other leaders embarking on large-scale transformations? Talk to us about how leaders should be thinking about the role of data quality in terms of their AI deployments.

Data Quality 77

Data Quality Key Performance Indicator Digital Transformation Management 77

CIO Business Intelligence

MARCH 27, 2024

“La qualità del dato viene ottenuta definendo un processo che coinvolge tutti gli attori aziendali e gli strumenti di misurazione appositi”, evidenzia Francesco Saverio Colasuonno, Data & Analytics Office Manager di INAIL. “Le

Data Governance 52

Data Governance Data Lake Data Strategy Data-driven 52

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

CIO Business Intelligence

APRIL 1, 2024

Ensure that data is cleansed, consistent, and centrally stored, ideally in a data lake. Data preparation, including anonymizing, labeling, and normalizing data across sources, is key. You’ll also institute guardrails for data governance, data quality, data integrity, and data security.

Data Lake 124

Data Lake Consulting Uncertainty Risk 124

Alation

JULY 19, 2021

But there is a way to catalog and classify data that is mind blowing: it’s data…about data ! Yes, we’re talking about metadata, or information that describes other data. For enterprise data, metadata, and effective metadata management , is a critical component of a good data management strategy.

Metadata 105

Metadata Management Data Governance Machine Learning 105

Smarten

DECEMBER 3, 2023

Let’s look at some of the reasons business intelligence (BI) and augmented analytics are important to your business and the benefits this type of solution can provide for your enterprise. Giving your team the right tools and a simple way to manage the overwhelming flow of data is crucial to business success.’

Analytics 40

Analytics Cost-Benefit Data Quality Consulting 40

CIO Business Intelligence

JANUARY 20, 2023

Starting on a solid data foundation Before choosing a platform for sharing data, an organization needs to understand what data it already has and strip it of errors and duplicates. Data formats and data architectures are often inconsistent, and data might even be incomplete.

Data Lake 126

Data Lake Data-driven Finance Data Architecture 126

CIO Business Intelligence

DECEMBER 19, 2023

First, enterprises have long struggled to improve customer, employee, and other search experiences. Improving search capabilities and addressing unstructured data processing challenges are key gaps for CIOs who want to deliver generative AI capabilities.

Digital Transformation 140

Digital Transformation Unstructured Data Machine Learning Risk Management 140

CIO Business Intelligence

MARCH 31, 2022

Chief data officer job description. The CDO oversees a range of data-related functions that may include data management, ensuring data quality, and creating data strategy. They may also be responsible for data analytics and business intelligence — the process of drawing valuable insights from data.

Consulting 130

Consulting Strategy Data Strategy Data Governance 130

CIO Business Intelligence

NOVEMBER 7, 2023

In fact, as companies undertake digital transformations , usually the data transformation comes first, and doing so often begins with breaking down data — and political — silos in various corners of the enterprise. Some of this data might previously have been accessible to only a small number of groups or users.

Data Warehouse 139

Data Warehouse Digital Transformation Data-driven Reporting 139

CIO Business Intelligence

APRIL 19, 2023

Enterprises store a vast amount of data. When it comes to effective data governance, relying on manual processes can hinder productivity while also leaving businesses exposed to regulatory violations, human errors, and missed revenue opportunities. Is content management getting in the way of productivity?

Digital Transformation 87

Digital Transformation Data Governance Unstructured Data Risk 87

CIO Business Intelligence

MARCH 27, 2023

They’re spending a lot of time on things like data quality, data management, things that might be tactical, helping with operational aspects of IT. But that’s not helping move the value of the organization as a business forward.” Organizations are still investing in data and analytics functions.

Data-driven 142

Data-driven Data Quality Strategy Reporting 142

Octopai

FEBRUARY 12, 2020

A data dictionary is a tool that organizes and describes different variables indicated by metadata associated with a dataset. A business glossary, sometimes referred to as a data glossary , is a broader tool. It defines terminology used by multiple departments across an enterprise.

Metadata 54

Metadata Enterprise Management Data Warehouse 54

BizAcuity

APRIL 14, 2022

Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 Or that the US economy loses up to $3 trillion per year due to poor data quality? quintillion bytes of data which means an average person generates over 1.5 Poor data quality.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

Octopai

APRIL 19, 2021

Without organized metadata management, the validity of a company’s data is compromised and they won’t achieve adequate compliance, data governance, or generate correct insights. Strong metadata management enhances business intelligence which leads to more informed strategy and better performance. IRM UK Connects.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

erwin

MAY 27, 2020

Visualizing data from anywhere defined by its context and definition in a central model repository, as well as the rules for governing the use of those data elements, unifies enterprise data management. A single source of data truth helps companies begin to leverage data as a strategic asset.

Modeling 98

Modeling Metadata Data Governance Visualization 98

Alation

OCTOBER 21, 2021

Many organizations have built a data lake to solve their data storage, access, and utilization challenges. A data lake is a centralized repository used to store data of many types at enterprise scale, which then enables easy access for many business needs. Signs Your Data Lake is Actually a Data Swamp.

Data Lake 52

Data Lake Metadata Data Warehouse Data Governance 52

Alation

APRIL 12, 2022

The individual initiatives that make up a data strategy may, at times, seem at odds with one another, but tools, such as the enterprise data catalog , can help CDOs in striking the right balance between facilitating data access and data governance. The CDO’s Role in Driving a Data Strategy.

Data Quality 52

Data Quality Data Governance Metrics Data Strategy 52