erwin

JUNE 26, 2020

It’s no surprise that most organizations’ data is often fragmented and siloed across numerous sources (e.g., legacy systems, data warehouses, flat files stored on individual desktops and laptops, and modern, cloud-based repositories.). This also diminishes the value of data as an asset. Ensures regulatory compliance.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

IBM Big Data Hub

JANUARY 5, 2023

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. Several factors determine the quality of your enterprise data like accuracy, completeness, consistency, to name a few.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

Cloudera

DECEMBER 11, 2020

It established a data governance framework within its enterprise data lake. Powered and supported by Cloudera, this framework brings together disparate data sources, combining internal data with public data, and structured data with unstructured data.

Data Lake 98

Data Lake Cost-Benefit Unstructured Data Data Governance 98

Ontotext

MARCH 18, 2020

According to an article in Harvard Business Review , cross-industry studies show that, on average, big enterprises actively use less than half of their structured data and sometimes about 1% of their unstructured data. Finally, they combine classical technologies like data governance and data management with modern analytics.

Enterprise 59

Enterprise B2B Unstructured Data Machine Learning 59

CIO Business Intelligence

MARCH 29, 2022

Turns out, exercise equipment doesn’t provide many benefits when it goes unused. The same principle applies to getting value from data. Organizations may acquire a lot of data, but they aren’t getting much value from it. This type of data waste results in missing out on the second project advantage.

Cost-Benefit 52

Cost-Benefit Machine Learning Metadata Data Quality 52

AWS Big Data

MARCH 10, 2023

Since the deluge of big data over a decade ago, many organizations have learned to build applications to process and analyze petabytes of data. Data lakes have served as a central repository to store structured and unstructured data at any scale and in various formats.

Data Lake 102

Data Lake Sales Data Warehouse Snapshot 102

Cloudera

SEPTEMBER 7, 2018

This conventional approach also employs a Relational Database Management System (RDBMS) technology, which, however, falls short in meeting current business demands for scalable, flexible and cost-efficient solutions to insider threat. Requirements for data protection and governance .

Machine Learning 49

Machine Learning Risk Unstructured Data Cost-Benefit 49

Alation

APRIL 6, 2023

Data governance is traditionally applied to structured data assets that are most often found in databases and information systems. There are millions of advanced spreadsheet users, and they spend more than a quarter of their time repeating the same or similar steps every time a spreadsheet or data source is updated or refreshed.

Data Governance 52

Data Governance Metadata Cost-Benefit Structured Data 52

BizAcuity

APRIL 14, 2022

The return on investment is a huge concern expressed by a fair share of businesses or if they are ready yet for managing such a huge level of data. The truth is that with a clear vision, SMEs too can benefit a great deal from big data. It includes data generation, aggregation, analysis and governance.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

IBM Big Data Hub

MAY 9, 2023

IBM today announced it is launching IBM watsonx.data , a data store built on an open lakehouse architecture, to help enterprises easily unify and govern their structured and unstructured data, wherever it resides, for high-performance AI and analytics. What is watsonx.data?

Data Warehouse 78

Data Warehouse Cost-Benefit Recreation/Entertainment Unstructured Data 78

CIO Business Intelligence

MAY 24, 2022

The second will focus on the growth in volume and type of data required to be stored and managed, and the ways in which value can be extracted from data. The third will examine the challenges of realising that value, the attributes of a successful data-driven organisation, and the benefits that can be gained.

Data-driven 80

Data-driven Data Lake Data Warehouse Cost-Benefit 80

Cloudera

NOVEMBER 18, 2021

Every one of our 22 finalists is utilizing cloud technology to push next-generation data solutions to benefit the everyday people who need it most – across industries including science, health, financial services and telecommunications. taxpayer details and needs to quickly analyze petabytes of data across hundreds of servers.

Data Lake 74

Data Lake Cost-Benefit Digital Transformation Risk 74

Grooper

AUGUST 19, 2019

C-level executives and professionals alike must learn to speak a new language - data. The benefit of speaking data, a.k.a. The reason data literacy plays such an important role in choosing the right technology solutions is that it directly impacts the quality of the requirements list. Master data management.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

Domino Data Lab

JULY 2, 2019

Moreover, they can be replaced with machine learning models to improve performance dramatically: “We have demonstrated that machine learned models have the potential to provide significant benefits over state-of-the-art indexes, and we believe this is a fruitful direction for future research.” That represents runtime overhead.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

AWS Big Data

JUNE 9, 2023

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale.

Data Lake 113

Data Lake Metadata Optimization Statistics 113

datapine

FEBRUARY 22, 2022

2) BI Strategy Benefits. Over the past 5 years, big data and BI became more than just data science buzzwords. In response to this increasing need for data analytics, business intelligence software has flooded the market. The costs of not implementing it are more damaging, especially in the long term.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Cloudera

OCTOBER 7, 2021

Within the context of a data mesh architecture, I will present industry settings / use cases where the particular architecture is relevant and highlight the business value that it delivers against business and technology areas. A Client Example.

Metadata 122

Metadata Cost-Benefit Enterprise Interactive 122

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

IBM Big Data Hub

AUGUST 4, 2023

When workers get their hands on the right data, it not only gives them what they need to solve problems, but also prompts them to ask, “What else can I do with data?” ” through a truly data literate organization. What is data democratization?

Data Architecture 64

Data Architecture Data Lake Machine Learning Data Governance 64

Alation

APRIL 19, 2022

Data modernization is the process of transferring data to modern cloud-based databases from outdated or siloed legacy databases, including structured and unstructured data. In that sense, data modernization is synonymous with cloud migration. What Is the Role of the Cloud in Data Modernization?

Cost-Benefit 52

Cost-Benefit Data Governance Manufacturing Data Architecture 52

AWS Big Data

JULY 28, 2023

Amazon Redshift is a petabyte-scale, enterprise-grade cloud data warehouse service delivering the best price-performance. Today, tens of thousands of customers run business-critical workloads on Amazon Redshift to cost-effectively and quickly analyze their data using standard SQL and existing business intelligence (BI) tools.

Data Lake 65

Data Lake Data Governance Data Warehouse Modeling 65

Laminar Security

MAY 3, 2023

They define DSPM technologies this way: “DSPM technologies can discover unknown data and categorize structured and unstructured data across cloud service platforms. That the data satisfy a myriad of other privacy and governance needs. Which is to say nothing of data security’s mandate: that the data be secure.

Management 52

Management Risk Risk Management Data Processing 52