IBM Big Data Hub

JULY 25, 2023

Independent research firm Verdantix recently identified IBM as a leader in their report, “ Green Quadrant: ESG Reporting and Data Management Software ” (July 17, 2023), which evaluated and provided a detailed assessment of solution providers and their product offerings.

Software 61

Software Reporting Management Data Quality 61

IBM Big Data Hub

NOVEMBER 28, 2022

Metadata management performs a critical role within the modern data management stack. It helps blur data silos, and empowers data and analytics teams to better understand the context and quality of data. This, in turn, builds trust in data and the decision-making to follow. Improve data discovery.

Metadata 57

Metadata Data Quality Data-driven Data Governance 57

IBM Big Data Hub

SEPTEMBER 15, 2023

These disclosures will need to be filed as part of the company annual 10-K statements, potentially as soon as the 2024 fiscal year if the final ruling is published by October 2023 as currently expected. For example, the regulated disclosures could be anything from estimates around Scope 3 emissions, to investor-grade data.

Risk 79

Risk Reporting Data-driven Publishing 79

Alation

DECEMBER 29, 2022

After all, I shed (net) 10 pounds since my end-of-2021 weigh-in, an achievement that I hope will compel me to run more miles and eat fewer doughnuts in 2023. The 2022 Data Catalog Wasn’t Your 2021 Data Catalog. The Alation Data Catalog our customers currently use has evolved from when the year began. billion.

Data Governance 52

Data Governance Data Quality Data-driven Data Processing 52

DataKitchen

MARCH 16, 2023

How to measure your data analytics team? So it’s Monday, and you lead a data analytics team of perhaps 30 people. And she is numbers driven – great! Like most leaders of data analytic teams, you have been doing very little to quantify your team’s success. What should be in that report about your data team?

Metrics 130

Metrics Data Analytics Analytics Measurement 130

Ontotext

JANUARY 29, 2024

In 2023, data leaders and enthusiasts were enamored of — and often distracted by — initiatives such as generative AI and cloud migration. I expect to see the following data and knowledge management trends emerge in 2024. However, organizations need to be aware that these may be nothing more than bolted-on Band-Aids.

Strategy 52

Strategy Management Metadata Data-driven 52

CIO Business Intelligence

FEBRUARY 14, 2023

By George Trujillo, Principal Data Strategist, DataStax Increased operational efficiencies at airports. To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making.

Data Strategy 109

Data Strategy Strategy Machine Learning Data-driven 109

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. Luckily, today’s data management approaches aren’t limited by traditional constraints like location or data patterns.

Data Strategy 57

Data Strategy Strategy Business Objectives Data-driven 57

Laminar Security

DECEMBER 1, 2023

Cloud data security is one of the most critical, yet most challenging aspects of doing business in the age of cloud. As more organizations migrate their data to the cloud, they face an increasing range of risks and threats, including data breaches, data leakage, data loss, data misuse, data compliance violations, shadow data and more.

Modeling 52

Modeling Cost-Benefit Risk Data-driven 52

IBM Big Data Hub

JANUARY 17, 2023

Due to the convergence of events in the data analytics and AI landscape, many organizations are at an inflection point. Furthermore, a global effort to create new data privacy laws, and the increased attention on biases in AI models, has resulted in convoluted business processes for getting data to users. Data governance.

Data-driven 57

Data-driven Enterprise Data Governance Prescriptive Analytics 57

O'Reilly on Data

NOVEMBER 28, 2023

Generative AI has been the biggest technology story of 2023. As of November 2023: Two-thirds (67%) of our survey respondents report that their companies are using generative AI. AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. Many AI adopters are still in the early stages. of nonusers.

Enterprise 271

Enterprise Modeling Testing Reporting 271

datapine

MAY 31, 2022

It provides better data storage, data security, flexibility, improved organizational visibility, smoother processes, extra data intelligence, increased collaboration between employees, and changes the workflow of small businesses and large enterprises to help them make better decisions while decreasing costs. Security issues.

Risk 237

Risk Cost-Benefit Business Intelligence Data-driven 237

Ontotext

JANUARY 10, 2024

In this post, which is a matured version of my opening keynote at Ontotext’s Knowledge Graph Forum 2023 , I will start with evidence about the impact of complexity on the growth and efficiency of big enterprises. This requires new tools and new systems, which results in diverse and siloed data. So, they become very data-driven.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

erwin

AUGUST 31, 2023

Q: Is data modeling cool again? In today’s fast-paced digital landscape, data reigns supreme. The data-driven enterprise relies on accurate, accessible, and actionable information to make strategic decisions and drive innovation. A: It always was and is getting cooler!!

Data-driven 98

Data-driven Modeling Enterprise Structured Data 98

Data Virtualization

JANUARY 25, 2023

Reading Time: 2 minutes As we head into the new year, organizations should be aware of the latest trends in data management. Here are my top five trends to keep an eye on in 2023: 1. Data Democratization Organizations are giving more of their.

Management 52

Management Data Integration Data Quality Data-driven 52

datapine

NOVEMBER 27, 2019

Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. 1) Data Quality Management (DQM). We all gained access to the cloud.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

erwin

JANUARY 10, 2024

With examples of online marketplaces all around us, smart organizations are following suit by providing data marketplaces to data consumers across their enterprises. Treating data as a product and making it available through a marketplace is a rapidly trending and proven approach to better using and managing your data.

Measurement 59

Measurement Cost-Benefit Data Governance Management 59

datapine

DECEMBER 4, 2019

Predictive analytics is the practice of extracting information from existing data sets in order to forecast future probabilities. Applied to business, it is used to analyze current and historical data in order to better understand customers, products, and partners and to identify potential risks and opportunities for a company.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212