DataKitchen

FEBRUARY 2, 2023

’ They are data enabling vs. value delivery. Their software purchase behavior will align with enabling standards for line-of-business data teams who use various tools that act on data. The vendor sprawl leaves enterprises to integrate and rationalize their approach.

Metadata 130

Metadata Testing Data Science Risk 130

DataKitchen

NOVEMBER 4, 2021

One data engineer called it the “last mile problem.” . In our many conversations about data analytics, data engineers, analysts and scientists have verbalized the difficulty of creating analytics in the modern enterprise. These are organizations with world-class data engineers and the industry’s best-in-class toolchains.

Data Processing 246

Data Processing Data Lake Cost-Benefit Testing 246

DataKitchen

AUGUST 27, 2021

DataOps has become an essential methodology in pharmaceutical enterprise data organizations, especially for commercial operations. Companies that implement it well derive significant competitive advantage from their superior ability to manage and create value from data.

Analytics 246

Analytics Sales Testing Cost-Benefit 246

CIO Business Intelligence

OCTOBER 16, 2023

All forward-thinking businesses are toying with or have already invested in AI — from boutique startups to enterprise conglomerates. However, Predictive AI can help solve this operational challenge because it relies heavily on historical data, enabling users to operate the mainframe and manage enterprise applications more efficiently.

Forecasting 137

Forecasting Machine Learning Software Data-driven 137

datapine

MAY 2, 2023

To work effectively, big data requires a large amount of high-quality information sources. Where is all of that data going to come from? 5) Warehouses and the supply chain are automated Soon enough, big data combined with automation technology and the Internet of Things may make logistics an entirely automated operation.

Big Data 275

Big Data Internet of Things Cost-Benefit Optimization 275

Ontotext

MARCH 19, 2021

From the above examples, we see that metadata is as important for data as packaging is for goods. In an enterprise knowledge management context, metadata, and especially semantic metadata , also: facilitates data use. supports data reuse. protects data. Take for example publishers.

Metadata 124

Metadata Publishing Enterprise Management 124

CIO Business Intelligence

MARCH 19, 2025

SpyCloud , the leading identity threat protection company, today released its 2025 SpyCloud Annual Identity Exposure Report , highlighting the rise of darknet-exposed identity data as the primary cyber risk facing enterprises today. Additional Report Findings: 17.3

Risk 52

Risk Reporting Measurement Enterprise 52

Cloudera

DECEMBER 15, 2021

The Cloudera Enterprise Data Maturity Report is a global survey of 3,150 business and IT decision makers assessing organizations’ maturity when it comes to their current capabilities and handling of data and analytics. 95% of technical decision makers agree that data and analytics are essential for driving progress on DEI.

Data Strategy 84

Data Strategy Strategy Snapshot Data-driven 84

Cloudera

AUGUST 3, 2021

Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. . Advanced analytics empower risk reduction . Improve Visibility within Supply Chains.

Analytics 111

Analytics Digital Transformation Forecasting Risk 111

DataKitchen

OCTOBER 2, 2023

Data Teams and Their Types of Data Journeys In the rapidly evolving landscape of data management and analytics, data teams face various challenges ranging from data ingestion to end-to-end observability. It explores why DataKitchen’s ‘Data Journeys’ capability can solve these challenges.

Data Quality 100

Data Quality Testing Uncertainty Data Enablement 100

AWS Big Data

NOVEMBER 22, 2024

To achieve this, we recommend specifying a run configuration when starting an upgrade analysis as follows: Using non-production developer accounts and selecting sample mock datasets that represent your production data but are smaller in size for validation with Spark Upgrades. 2X workers and auto scaling enabled for validation.

Cost-Benefit 105

Cost-Benefit Data-driven Software Testing 105

CIO Business Intelligence

APRIL 29, 2022

These principles provide a particular direction for the reasoning and execution of all activities of an enterprise towards data-first. Data-first because anything, whether a human, a machine, or a thing, is constantly generating data in an era in which computing and connectivity are ubiquitous. receiver or smart TV).

Recreation/Entertainment 122

Recreation/Entertainment Digital Transformation Data-driven Enterprise 122

Alation

JULY 26, 2021

One of the first steps in any digital transformation journey is to understand what data assets exist in the organization. When we began, we had a very technical and archaic tool, an enterprise metadata management platform that cataloged our assets. The people behind the data are key. It was terribly complex.

Insurance 98

Insurance Digital Transformation Enterprise Data Governance 98

CIO Business Intelligence

SEPTEMBER 12, 2024

Enterprises must reimagine their data and document management to meet the increasing regulatory challenges emerging as part of the digitization era. The cost of compliance These challenges are already leading to higher costs and greater operational risk for enterprises. According to figures from the Cato Institute, U.S

Data-driven 106

Data-driven Management Cost-Benefit Risk 106

Cloudera

AUGUST 12, 2021

By using Cloudera’s big data platform to harness IoT data in real-time to drive predictive maintenance and improve operational efficiency, the company has realized about US$25 million annually in new profit resulting from better efficiency of working sites. . Data enables Innovation & Agility.

Data-driven 111

Data-driven Manufacturing Insurance Risk Management 111

erwin

JANUARY 23, 2025

Whether its delivering a self-service data marketplace to make it easier to find and access trusted data across your business or increasing data quality visibility to better assess data fitness and ensure reliability of critical data sources, data intelligence software has a role to play.

Metadata 52

Metadata Data Quality Data Governance Software 52

IBM Big Data Hub

JANUARY 9, 2024

This global perspective enabled us to observe how diverse industries both influence and are influenced by the evolving technology landscape. Customization of enterprise AI Enterprise AI customization is on the rise, with businesses embracing tailored generative AI applications. Here’s a glimpse into what the future holds.

Data-driven 100

Data-driven Risk Marketing Modeling 100

Smart Data Collective

OCTOBER 25, 2023

Future BI tools emphasize real-time analytics, extensive data integration, and user-friendliness, redefining data use for competitive advantage in the digital age. Role of BI in Modern Enterprises What’s the goal and role of this data giant? BI guides decision-makers through data, enabling insights from vast information.

Key Performance Indicator 122

Key Performance Indicator Business Intelligence Data-driven OLAP 122

IBM Big Data Hub

MAY 9, 2023

Today we have one of the most comprehensive portfolios of enterprise AI solutions available. It makes our supply chains stronger, defends critical enterprise data against cyber attackers, and helps deliver seamless experiences to millions of customers ever day across multiple industries. Watsonx.ai

Data Warehouse 106

Data Warehouse Machine Learning Cost-Benefit Metadata 106

IBM Big Data Hub

FEBRUARY 5, 2024

They can generate responses like text and images, while simultaneously interpreting and manipulating existing data. Let’s explore 6 ways generative AI can optimize your enterprise asset management operations, including field service, maintenance and compliance. Generative AI can: 1.

Optimization 89

Optimization Management Key Performance Indicator Data-driven 89

Smart Data Collective

APRIL 14, 2023

Business Intelligence (BI) is a crucial aspect of modern enterprises, as it helps organizations make data-driven decisions by analyzing and interpreting data from various sources. This streamlined approach reduces the time and effort required to analyze data, enabling users to spend more time on strategic decision-making.

Business Intelligence 110

Business Intelligence Strategy Data-driven Visualization 110

BI-Survey

FEBRUARY 17, 2020

With the growing interconnectedness of people, companies and devices, we are now accumulating increasing amounts of data from a growing variety of channels. New data (or combinations of data) enable innovative use cases and assist in optimizing internal processes. Success factors for data governance.

Data Governance 89

Data Governance Data Warehouse Data Quality Data Strategy 89

CIO Business Intelligence

MARCH 6, 2023

The company, which customizes, sells, and licenses more than one billion images, videos, and music clips from its mammoth catalog stored on AWS and Snowflake to media and marketing companies or any customer requiring digital content, currently stores more than 60 petabytes of objects, assets, and descriptors across its distributed data store.

Data Lake 88

Data Lake Cost-Benefit Recreation/Entertainment Unstructured Data 88

CIO Business Intelligence

FEBRUARY 19, 2025

The use of synthetic data to train AI models is about to skyrocket, as organizations look to fill in gaps in their internal data, build specialized capabilities, and protect customer privacy, experts predict. Gartner, for example, projects that by 2028, 80% of data used by AIs will be synthetic, up from 20% in 2024.

Cost-Benefit 101

Cost-Benefit Modeling Software Machine Learning 101

erwin

APRIL 18, 2019

Govern data: Develop a governance model to manage standards and policies and set best practices. Socialize data: Enable all stakeholders to see data in one place in their own context. A Regulatory EDGE.

Data Governance 81

Data Governance Metadata Data Collection Data-driven 81

CIO Business Intelligence

JUNE 23, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses.

Data Lake 98

Data Lake Data Warehouse Machine Learning Data-driven 98

Cloudera

AUGUST 16, 2023

The new a ccreditations validate a partner’s proficiency in the value of Cloudera products and solutions, and are designed to help partners build their knowledge of Cloudera products, programs, tools and resources, enabling them to effectively position and solution customer use cases.

Sales 65

Sales Insurance Manufacturing Data Strategy 65

Cloudera

AUGUST 21, 2021

Cloudera’s customers in the financial services industry have realized greater business efficiencies and positive outcomes as they harness the value of their data to achieve growth across their organizations. Data enables better informed critical decisions, such as what new markets to expand in and how to do so.

Data-driven 103

Data-driven Digital Transformation Risk Risk Management 103

IBM Big Data Hub

NOVEMBER 2, 2022

Most recently we held an event at the IBM Data and AI Forum in Germany ( available on demand here ) where we shared the latest news in our business analytics portfolio. This included announcing the release of IBM Business Analytics Enterprise, which includes IBM Planning Analytics, IBM Cognos Analytics and the new IBM Analytics Content Hub.

Data-driven 60

Data-driven Business Analytics Analytics Forecasting 60

Cloudera

JUNE 18, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses.

Data Lake 94

Data Lake Data Warehouse Machine Learning Data-driven 94

CIO Business Intelligence

MAY 8, 2024

AI-powered data integration tools leverage advanced algorithms and predictive analytics to automate and streamline the data integration process. According to a recent report by InformationWeek , enterprises with a strong AI strategy are 3 times more likely to report above-average data integration success.

Data Integration 102

Data Integration IoT Cost-Benefit Machine Learning 102

CIO Business Intelligence

MAY 4, 2022

Further, the company is also transforming its organizational culture to become a more data-driven enterprise by integrating data science applications with supply chains and decision cycles. . The department stopped working on isolated apps and projects. It emerged as a system of digital platforms.

Recreation/Entertainment 98

Recreation/Entertainment Data-driven Marketing Testing 98

CIO Business Intelligence

JANUARY 30, 2024

CIOs — who sign nearly half of all net-zero services deals with top providers, according to Everest Group analyst Meenakshi Narayanan — are uniquely positioned to spearhead data-enabled transformation for ESG reporting given their data-driven track records. Most companies find themselves in a similar situation.

Reporting 115

Reporting Data Quality Strategy Data-driven 115

Cloudera

NOVEMBER 2, 2021

Becoming a data-driven organization is not exactly getting any easier. Businesses are flooded with ever more data. Although it is true that more data enables more insight, the effort needed to separate the wheat from the chaff grows exponentially.

Data Governance 97

Data Governance Data-driven Data Processing Risk 97

Smart Data Collective

AUGUST 14, 2022

Enterprises can store Intellectual Property data in unstructured or structured forms. Both options rely on strict security policies to deny unauthorized data access, including data encryption, regular data backups, and real-time cybersecurity protection.

Risk 139

Risk Cost-Benefit Reporting Software 139

Jet Global

OCTOBER 8, 2020

However, while automated enterprise resource planning (ERP) solutions might handle much of the heavy lifting, they don’t, according to Deloitte’s analysis , automate the “full, end-to-end close, consolidate and report process”. Without leveraging the power of operational data, a finance team is essentially flying blind.

Finance 98

Finance Reporting Forecasting Metrics 98

Cloudera

OCTOBER 28, 2021

In the days of Lloyd’s Coffee House , insurers gathered data about cargo, voyages, seasonal weather and the performance history of vessels and mariners to underwrite risks. The data was not created by the underwriters; it all was sourced from the insured enterprises, industry-specific sources or associated third parties.

Insurance 97

Insurance Risk Unstructured Data Data-driven 97