TDAN

OCTOBER 18, 2022

Last week, we presented a webinar in our Data Governance — Best Practices series on data quality. Obviously, we’re a […].

Data Quality 52

Data Quality Data Governance Data Strategy Strategy 52

CIO Business Intelligence

MARCH 27, 2023

Chief data and analytics officers (CDAOs) are poised to be of increasing strategic importance to their organizations, but many are struggling to make headway, according to data presented last week by Gartner at the Gartner Data & Analytics Summit 2023.

Data-driven 145

Data-driven Data Quality Strategy Reporting 145

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

Smart Data Collective

DECEMBER 21, 2022

This market is growing as more businesses discover the benefits of investing in big data to grow their businesses. Unfortunately, some business analytics strategies are poorly conceptualized. One of the biggest issues pertains to data quality. Data cleansing and its purpose.

Business Analytics 130

Business Analytics Analytics Data Quality Big Data 130

CIO Business Intelligence

JUNE 5, 2024

Less than half of organizations have a coherent data management process in place before they launch AI projects, say IT leaders at Databricks and Astera Software, both in the data management space. If they don’t actually have their data in order, they’re not going to have the impact they want.”

Management 142

Management Strategy Data Strategy Marketing 142

Smart Data Collective

OCTOBER 4, 2021

There is no question that big data is very important for many businesses. Unfortunately, big data is only as useful as it is accurate. Data quality issues can cause serious problems in your big data strategy. It relies on data to drive its AI algorithms.

Big Data 133

Big Data Data Quality Advertising Interactive 133

TDAN

JUNE 30, 2020

You may already have a formal Data Governance program in place. Or … you are presently going through the process of trying to convince your Senior Leadership or stakeholders that a formal Data Governance program is necessary. Maybe you are going through the process of convincing the stakeholders that Data […].

Data Governance 145

Data Governance Data Quality Metadata Data Strategy 145

Alation

OCTOBER 5, 2021

Yet, so many companies today are still failing miserably in implementing data strategy and governance protocols. Why is your data governance strategy failing? So, why is YOUR data governance strategy failing? Common data governance challenges. Top 3 Roadblocks to Successful Data Governance.

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

Jen Stirrup

NOVEMBER 15, 2022

Often, this problem can be due to the organization concentrating solely on technology and data. However, organizations can be supported by a synergistic approach by integrating systems thinking with the data strategy and technical perspective. Data strategy in a VUCA environment. Data in an uncertain environment.

Data Science 145

Data Science Digital Transformation Data-driven Measurement 145

Smart Data Collective

AUGUST 21, 2019

They must be realistic about the constraints of big data and be pragmatic with their utilization of it. They recognize that the overemphasis on big data has created problems, so they have presented alternatives. Data Science Companies Focus on Optimal Data Utilization Rather than Just Emphasizing Data Scalability.

Data Science 87

Data Science Big Data Data Strategy Risk 87

AWS Big Data

DECEMBER 4, 2024

By providing a standardized framework for data representation, open table formats break down data silos, enhance data quality, and accelerate analytics at scale. In this physical plan, we don’t see the Exchange operation that is present in physical plan without storage partitioned join.

Snapshot 84

Snapshot Metadata Data Lake Optimization 84

AWS Big Data

SEPTEMBER 12, 2024

On the importance of company data for generative AI, McKinsey stated that “If your data isn’t ready for generative AI, your business isn’t ready for generative AI.” In this post, we present a framework to implement generative AI applications enriched and differentiated with your data.

Management 104

Management Analytics Data Lake Interactive 104

Alation

JULY 15, 2022

I raised the Cambridge Analytica Scandal and pointed out how it is often only when these stories hit the news that people question the ethics behind how companies are using data. Clearly, using private Facebook data collected in a nefarious manner to sway political elections is not ethical. What’s your data strategy?

Cost-Benefit 89

Cost-Benefit Data Governance ROI Risk 89

DataKitchen

JUNE 24, 2021

Agility is absolutely the cornerstone of what DataOps presents in the build and in the run aspects of our data products.”. Before we jump into a methodology or even a data strategy-based approach, what are we trying to accomplish? Automate the data collection and cleansing process. Take a show-me approach.

Metrics 211

Metrics ROI Measurement Cost-Benefit 211

AWS Big Data

DECEMBER 19, 2024

Data has become an invaluable asset for businesses, offering critical insights to drive strategic decision-making and operational optimization. From establishing an enterprise-wide data inventory and improving data discoverability, to enabling decentralized data sharing and governance, Amazon DataZone has been a game changer for HEMA.

Data Governance 52

Data Governance Publishing Data-driven Metadata 52

AWS Big Data

APRIL 19, 2023

Background The success of a data-driven organization recognizes data as a key enabler to increase and sustain innovation. The goal of a data product is to solve the long-standing issue of data silos and data quality. The data science algorithm Valentine is an effective tool for this.

Technology 105

Technology Data-driven Machine Learning Sales 105

IBM Big Data Hub

FEBRUARY 9, 2023

Building a data governance program is an iterative and incremental process Step 1: Define your data strategy and data governance goals and objectives What are the business objectives and desired results for your organization?

Data Governance 76

Data Governance Business Objectives Data Quality Measurement 76

CIO Business Intelligence

NOVEMBER 28, 2023

Making the most of enterprise data is a top concern for IT leaders today. With organizations seeking to become more data-driven with business decisions, IT leaders must devise data strategies gear toward creating value from data no matter where — or in what form — it resides. Quality is job one.

Unstructured Data 129

Unstructured Data Data-driven Visualization Data Quality 129

Octopai

JANUARY 31, 2021

Specifically, when it comes to data lineage, experts in the field write about case studies and different approaches to this utilizing this tool. Among many topics, they explain how data lineage can help rectify bad data quality and improve data governance. . TDWI – Philip Russom. Techcopedia.

Data Governance 83

Data Governance Data Processing Data Quality Metadata 83

CIO Business Intelligence

FEBRUARY 16, 2023

The company’s orthodontics business, for instance, makes heavy use of image processing to the point that unstructured data is growing at a pace of roughly 20% to 25% per month. Advances in imaging technology present Straumann Group with the opportunity to provide its customers with new capabilities to offer their clients.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Data Warehouse 105

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

AWS Big Data

AUGUST 1, 2024

Migrating to Amazon Redshift offers organizations the potential for improved price-performance, enhanced data processing, faster query response times, and better integration with technologies such as machine learning (ML) and artificial intelligence (AI). He specializes in migrating enterprise data warehouses to AWS Modern Data Architecture.

Data Warehouse 115

Data Warehouse KPI Optimization Cost-Benefit 115

Alation

APRIL 12, 2022

Between 2010 and 2018 the number of CDOs present in Fortune 1500 companies increased nearly 8-fold. Today, the modern CDO drives the data strategy for the entire organization. The CDO’s Role in Driving a Data Strategy. CDOs have a mandate across the data value chain, across that whole life cycle of data.

Data Quality 52

Data Quality Data Governance Metrics Data Strategy 52

TDAN

DECEMBER 20, 2022

What is Data Governancein the Public Sector? Effective data governance for the public sector enables entities to ensure data quality, enhance security, protect privacy, and meet compliance requirements. With so much focus on compliance, democratizing data for self-service analytics can present a challenge.

Data Governance 52

Data Governance Data Quality Analytics Metadata 52

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 megabytes of data every second?

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

Peter James Thomas

MAY 3, 2019

Control of Data to ensure it is Fit-for-Purpose. This refers to a wide range of activities from Data Governance to Data Management to Data Quality improvement and indeed related concepts such as Master Data Management. Data Strategy.

Strategy 55

Strategy Data Architecture Data Quality Data Strategy 55

Alation

MARCH 28, 2023

With data becoming more prevalent in every industry, organisations have to determine how to not only manage it but also drive value from it. The MoD identify three key issues: firstly, that ‘Defence data operates in contractual, technical and behavioural silos’. Culturally, defence lacks recognition over the importance of data’.

Metadata 52

Metadata Data Strategy Data Quality Strategy 52

Ontotext

SEPTEMBER 15, 2020

These additional software components need to be updated, tested and deployed, which goes counter to the Data Fabric goal of creating frictionless movement of data. Ontotext uses an automatically generated GraphQL API to support efficient integration into presentation layers. Consider using data catalogs for this purpose.

Metadata 69

Metadata Knowledge Discovery Data Quality Strategy 69

Anmut

APRIL 6, 2021

With clear values on your data assets, they form a portfolio of assets, each with different values. Which then gives you a digital strategy framework, so you can focus transformation efforts. According to Gartner , “the average financial impact of poor data quality on organisations is $9.7 Why data assets matter .

Digital Transformation 52

Digital Transformation Enterprise Data Quality Data-driven 52

AWS Big Data

AUGUST 14, 2023

At the same time, unstructured approaches to data mesh management that don’t have a vision for what types of products should exist and how to ensure they are developed are at high risk of creating the same effect through simple neglect. Acts as chair of, and appoints members to, the data council.

Management 98

Management Risk Measurement Optimization 98

IBM Big Data Hub

SEPTEMBER 7, 2022

Originally based on our books, The Chief Data Officer’s Playbook and Data-Driven Business Transformation , the program is now an interactive 10-week workshop that addresses data maturity, data strategy, data literacy, leadership, technology and more. Small victories lead to big ones.

Data Strategy 52

Data Strategy Strategy Data-driven Data Quality 52

Alation

NOVEMBER 22, 2022

What Is Data Governance In The Public Sector? Effective data governance for the public sector enables entities to ensure data quality, enhance security, protect privacy, and meet compliance requirements. With so much focus on compliance, democratizing data for self-service analytics can present a challenge.

Data Governance 52

Data Governance Metadata Data-driven Unstructured Data 52

erwin

SEPTEMBER 15, 2022

Discover new insights into data intelligence with Donna Burbank. Donna Burbank , Managing Director, Global Data Strategy, Ltd. The Importance of Data Intelligence to the Data-Driven Business”. Stewart Bond of IDC will provide fresh perspectives into building data trust.

Data Governance 52

Data Governance Consulting Data-driven Digital Transformation 52

IBM Big Data Hub

DECEMBER 20, 2023

Determine the tools and support needed and organize them based on what’s most crucial for the project, specifically: Data: Make a data strategy by determining if new or existing data or datasets will be required to effectively fuel the AI solution. Establish a data governance framework to manage data effectively.

Strategy 71

Strategy Business Objectives Cost-Benefit Consulting 71

IBM Big Data Hub

JANUARY 25, 2023

Organizations have long struggled with data management and understanding data in a complex and ever-growing data landscape. Organizations need to ensure that their enterprise data governance practices are compliant. These technologies and processes must be adopted to work within the data governance sphere of influence.

Data Governance 52

Data Governance Data-driven Strategy Data Architecture 52

AWS Big Data

JANUARY 31, 2023

Data governance is increasingly top-of-mind for customers as they recognize data as one of their most important assets. Effective data governance enables better decision-making by improving data quality, reducing data management costs, and ensuring secure access to data for stakeholders.

Data Lake 98

Data Lake Data Governance Data Architecture Machine Learning 98

IBM Big Data Hub

MAY 15, 2024

Organizations require reliable data for robust AI models and accurate insights, yet the current technology landscape presents unparalleled data quality challenges. With a multicloud data strategy, organizations need to optimize for data gravity and data locality.

Cost-Benefit 67

Cost-Benefit Data Integration Data Architecture Manufacturing 67