Ontotext

FEBRUARY 12, 2024

In the final part of this three-part series, we’ll explore ho w data mesh bolsters performance and helps organizations and data teams work more effectively. Usually, organizations will combine different domain topologies, depending on the trade-offs, and choose to focus on specific aspects of data mesh.

Data-driven 59

Data-driven Data Lake Data Quality Business Objectives 59

AWS Big Data

JUNE 25, 2024

This post is co-authored by Vijay Gopalakrishnan, Director of Product, Salesforce Data Cloud. In today’s data-driven business landscape, organizations collect a wealth of data across various touch points and unify it in a central data warehouse or a data lake to deliver business insights.

Data Lake 122

Data Lake Cost-Benefit Data-driven Data Warehouse 122

TDAN

MARCH 16, 2021

No matter where data comes from, becoming data-driven depends on every member of your organization being able to find, access, and use the data they need.

Business Objectives 87

Business Objectives Data-driven IT Metadata 87

AWS Big Data

SEPTEMBER 12, 2024

In the era of digital transformation and data-driven decision making, organizations must rapidly harness insights from their data to deliver exceptional customer experiences and gain competitive advantage. Solution overview Salesforce Data Cloud provides a point-and-click experience to share data with a customer’s AWS account.

Data Lake 115

Data Lake Analytics Data-driven Data Strategy 115

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

Data Virtualization

SEPTEMBER 12, 2024

Reading Time: 2 minutes In today’s data-driven landscape, the integration of raw source data into usable business objects is a pivotal step in ensuring that organizations can make informed decisions and maximize the value of their data assets. To achieve these goals, a well-structured.

Data Integration 52

Data Integration Business Objectives Data-driven Management 52

Alation

AUGUST 26, 2021

What Is Data Intelligence? Data intelligence is a system to deliver trustworthy, reliable data. It includes intelligence about data, or metadata. IDC coined the term, stating, “data intelligence helps organizations answer six fundamental questions about data.” Why do we have data?

Metadata 64

Metadata Data Governance Dashboards Software 64

Ontotext

NOVEMBER 22, 2020

Data and content are organized in a way that facilitates discoverability, insights and decision making rather than be bound by limitations of data formats and legacy systems. GraphQL has a number of advantages for developers, especially for data-centric applications. Content Enrichment and Metadata Management.

Metadata 72

Metadata Cost-Benefit Unstructured Data Technology 72

AWS Big Data

MARCH 26, 2024

This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges.

Data Strategy 98

Data Strategy Strategy Data Warehouse Prescriptive Analytics 98

AWS Big Data

AUGUST 6, 2024

Online Analytical Processing (OLAP) is crucial in modern data-driven apps, acting as an abstraction layer connecting raw data to users for efficient analysis. It organizes data into user-friendly structures, aligning with shared business definitions, ensuring users can analyze data with ease despite changes.

OLAP 110

OLAP Analytics Visualization Dashboards 110

Cloudera

JANUARY 5, 2023

In the past year, businesses who doubled down on digital transformation during the pandemic saw their efforts coming to fruition in the form of cost savings and more streamlined data management. Here are three key trends that will likely dominate the priorities of APAC’s business leaders in the coming year.

Cost-Benefit 52

Cost-Benefit Business Objectives Machine Learning Data Architecture 52

IBM Big Data Hub

JANUARY 5, 2023

Poor data quality is one of the top barriers faced by organizations aspiring to be more data-driven. Ill-timed business decisions and misinformed business processes, missed revenue opportunities, failed business initiatives and complex data systems can all stem from data quality issues.

Data Architecture 52

Data Architecture Data Quality Strategy Data Lake 52

Wayne Yaddow

FEBRUARY 18, 2025

Selecting the strategies and tools for validating data transformations and data conversions in your data pipelines. Introduction Data transformations and data conversions are crucial to ensure that raw data is organized, processed, and ready for useful analysis.

Testing 52

Testing Data Transformation Data-driven Data Quality 52

Alation

DECEMBER 15, 2021

Modern business is built on a foundation of trusted data. 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 52

Data Governance Strategy Metadata Data Strategy 52

Alation

MARCH 14, 2023

Data gathering and use pervades almost every business function these days — and it’s widely acknowledged that businesses with a clear strategy around data are best placed to succeed in competitive, challenging markets such as defence. What is a data strategy? Why is a data strategy important?

Data Strategy 52

Data Strategy Strategy Metadata Data Quality 52

Jet Global

JANUARY 26, 2021

The Microsoft tools will give you access to the data you need to chart financial performance, analyze data, and forecast trends, but you will need experienced, technical resources to get you there. The content of the resulting Excel workbook is static data and there is no association back to the ERP.

Reporting 98

Reporting Finance Data-driven Visualization 98

Cloudera

APRIL 9, 2019

of application workloads were still on-premises in enterprise data centers; by the end of 2017, less than half (47.2%) were on-premises. A hybrid, multi-cloud strategy is the best approach to managing these distributed, heterogeneous data ecosystems. Enterprises are moving to the cloud. In 2016, 60.9% of existing apps to public cloud.

Strategy 54

Strategy Experimentation Business Objectives Metadata 54

CIO Business Intelligence

DECEMBER 4, 2023

Although less complex than the “4 Vs” of big data (velocity, veracity, volume, and variety), orienting to the variety and volume of a challenging puzzle is similar to what CIOs face with information management. Operationalizing data to drive revenue CIOs report that their roles are rising in importance and impact. What’s changed?

Unstructured Data 52

Unstructured Data Data Lake Business Objectives Metadata 52

Ontotext

MAY 16, 2024

Acknowledging the significance of how these critical enablers define, contextualize, and constrain data for consistency and trust, is all part of the maturity process for today’s enterprise. The goal at this stage of development is to build a scalable and resilient semantic graph as a data hub for all business-driven use cases.

Enterprise 52

Enterprise Data-driven Cost-Benefit Business Objectives 52

Alation

FEBRUARY 10, 2022

Data classification is necessary for leveraging data effectively and efficiently. Effective data classification helps mitigate risk, maintain governance and compliance, improve efficiencies, and help businesses understand and better use data. Manual Data Classification. Manual Data Classification.

Data Governance 52

Data Governance Risk Insurance Business Objectives 52

Alation

MAY 12, 2022

Or, rather, every successful company these days is run with a bias toward technology and data, especially in the manufacturing industry. technologies, manufacturers must deploy the right technologies and, most importantly, leverage the resulting data to make better, faster decisions. All personas access and use data appropriately, and.

Manufacturing 52

Manufacturing Data Governance Cost-Benefit IoT 52

O'Reilly on Data

JULY 28, 2020

It sounds simplistic to state that AI product managers should develop and ship products that improve metrics the business cares about. It’s often difficult for businesses without a mature data or machine learning practice to define and agree on metrics. Agreeing on metrics. This is particularly true for AI products.

Marketing 364

Marketing Experimentation Metrics Testing 364

AWS Big Data

OCTOBER 24, 2024

Organizations are looking for products that let them spend less time managing data and more time on core business functions. Data security is one of the key functions in managing a data warehouse. This blog post describes how to set up the integration, access control, governance, and user and data policies.

Data Warehouse 111

Data Warehouse Business Objectives Data-driven Management 111

AWS Big Data

APRIL 29, 2025

The Data team at Flutter UKI is integral to the companys mission of using data to drive business success and innovation. Specializing in data, their teams are dedicated to ensuring the seamless integration, management, and accessibility of data across multiple facets of the organization.

Optimization 66

Optimization Management Recreation/Entertainment Testing 66

Ontotext

AUGUST 21, 2024

There is a confluence of activity—including generative AI models, digital twins, and shared ledger capabilities—that are having a profound impact on helping enterprises meet their goal of becoming data driven. But until they connect the dots across their data, they will never be able to truly leverage their information assets.

Knowledge Discovery 52

Knowledge Discovery Cost-Benefit Data-driven Metadata 52