Alation

JULY 15, 2022

New regulations covering data privacy and other ethical concerns require that enterprises govern internal data processes according to these new laws. And, while change at large organisations is tough, data leaders would be wise to reframe such transformations as business opportunities rather than burdens.

Cost-Benefit 89

Cost-Benefit Data Governance ROI Risk 89

bridgei2i

MARCH 11, 2021

Easily understandable, highly curated, and reliable data helps Machine Learning (ML) tools evolve. As long as small businesses don’t have efficient data governance strategies, they can’t properly use AI and ML-powered tools. What is a Data Governance Strategy? They have access to large amounts of data.

Key Performance Indicator 52

Key Performance Indicator Data Governance Data Lake Metadata 52

Cloudera

OCTOBER 1, 2022

While the word “data” has been common since the 1940s, managing data’s growth, current use, and regulation is a relatively new frontier. . Governments and enterprises are working hard today to figure out the structures and regulations needed around data collection and use. Infrastructure.

Data Governance 75

Data Governance Strategy Enterprise Machine Learning 75

erwin

MARCH 4, 2021

Modern data governance is a strategic, ongoing and collaborative practice that enables organizations to discover and track their data, understand what it means within a business context, and maximize its security, quality and value. The What: Data Governance Defined. Where is it?

Data Governance 122

Data Governance Digital Transformation Data-driven Cost-Benefit 122

O'Reilly on Data

MARCH 18, 2020

The update sheds light on what AI adoption looks like in the enterprise— hint: deployments are shifting from prototype to production—the popularity of specific techniques and tools, the challenges experienced by adopters, and so on. By contrast, AI adopters are about one-third more likely to cite problems with missing or inconsistent data.

Enterprise 311

Enterprise Deep Learning Data Governance Risk 311

CIO Business Intelligence

MARCH 29, 2022

Organizations may acquire a lot of data, but they aren’t getting much value from it. It is estimated that nearly 75% of the data that enterprises collect remains unused, and thus, the value is not realized. Fortunately, learning-based projects typically use data collected for other purposes. .

Cost-Benefit 52

Cost-Benefit Machine Learning Metadata Data Quality 52

erwin

JUNE 11, 2020

Just as technology evolves, how businesses embrace and incorporate data intelligence will also evolve. Below are several of the major trends going forward with Data Intelligence. Real-time enterprise is the market. More businesses employing data intelligence will be incorporating blockchain to support its processes.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

Cloudera

AUGUST 4, 2021

And if data security tops IT concerns, data governance should be their second priority. Not only is it critical to protect data, but data governance is also the foundation for data-driven businesses and maximizing value from data analytics. But it’s still not easy. But it’s still not easy.

Data Governance 87

Data Governance Metadata Data-driven Enterprise 87

FineReport

MAY 31, 2023

On the right side of the dashboard, the balance sheet serves as the primary financial statement that captures the financial position of an enterprise, encompassing assets, liabilities, and owners’ equity, on a specific date. These indicators indirectly shed light on the enterprise’s operational conditions.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

Alation

FEBRUARY 13, 2020

Benefits of a Data Catalog. What Does a Data Catalog Do? A modern data catalog includes many features and functions that all depend on the core capability of cataloging data—collecting the metadata that identifies and describes the inventory of shareable data. Benefits of a Data Catalog. Conclusion.

Metadata 64

Metadata Data Lake Recreation/Entertainment Big Data 64

Cloudera

FEBRUARY 14, 2018

operations, and our CISO’s team while we invest in and form a stronger data and analytics team. Know that we will share what we learn on this journey so that our talented Services team can continue to help our customers profit from their data – all on Cloudera’s Enterprise Data Hub.

Data-driven 44

Data-driven Data Quality Risk Interactive 44

Domino Data Lab

JULY 22, 2019

data science’s emergence as an interdisciplinary field – from industry, not academia. why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Peter James Thomas

AUGUST 29, 2018

I have since run and driven transformation in Reference Data, Master Data , KYC [3] , Customer Data, Data Warehousing and more recently Data Lakes and Analytics , constantly building experience and capability in the Data Governance , Quality and data services domains, both inside banks, as a consultant and as a vendor.

Data-driven 61

Data-driven Cost-Benefit Metadata Technology 61

AWS Big Data

MARCH 26, 2024

A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data. This is aligned to the five pillars we discuss in this post.

Data Strategy 67

Data Strategy Strategy Data Warehouse Prescriptive Analytics 67

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 130

Unstructured Data Data-driven Visualization Data Quality 130

erwin

FEBRUARY 28, 2019

When you think of real-time, data-driven experiences and modern applications to accomplish tasks faster and easier, your local town or city government probably doesn’t come to mind. But municipal government is starting to embrace digital transformation and therefore data governance.

Digital Transformation 106

Digital Transformation Data Governance Data-driven Data Warehouse 106

Andrew White

JANUARY 9, 2022

I would like to know if there are organizations to promote AI at the level of the Central Government and Small companies. But I would search on our web site for AI and mid-size enterprise; or ask Anthony Mullen who leads our AI research in our data and analytics team. – Data (and analytics) governance remains a challenge.

Analytics 64

Analytics Measurement Modeling Data-driven 64

Alation

NOVEMBER 11, 2021

As IT leaders oversee migration, it’s critical they do not overlook data governance. Data governance is essential because it ensures people can access useful, high-quality data. Let’s take a look at some of the key principles for governing your data in the cloud: What is Cloud Data Governance?

Data Governance 52

Data Governance Data Quality Metrics Metadata 52

Alation

DECEMBER 15, 2021

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 requires a system.

Data Governance 52

Data Governance Strategy Metadata Data Strategy 52

Alation

MARCH 5, 2021

Data governance defines how data should be gathered and used within an organization. It address core questions, such as: How does the business define data? How accurate must the data be for use? Organizations have much to gain from learning about and implementing a data governance framework.

Data Governance 59

Data Governance Data Quality Dashboards Risk 59

Alation

FEBRUARY 17, 2023

This past week, I had the pleasure of hosting Data Governance for Dummies author Jonathan Reichental for a fireside chat , along with Denise Swanson , Data Governance lead at Alation. Can you have proper data management without establishing a formal data governance program?

Data Governance 52

Data Governance Data Quality Metadata Cost-Benefit 52

Alation

MARCH 17, 2021

According to the Forrester Wave: Machine Learning Data Catalogs, Q4 2020 , “Alation exploits machine learning at every opportunity to improve data management, governance, and consumption by analytic citizens. An MLDC brings many benefits, like: Enhanced data management. Data governance streamlining.

Machine Learning 52

Machine Learning Metadata Data Governance Interactive 52

datapine

FEBRUARY 22, 2022

Before going all-in with data collection, cleaning, and analysis, it is important to consider the topics of security, privacy, and most importantly, compliance. Businesses deal with massive amounts of data from their users that can be sensitive and needs to be protected. Clean data in, clean analytics out.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Alation

JULY 6, 2021

Common Data Governance Challenges. Every enterprise runs into data governance challenges eventually. Issues like data visibility, quality, and security are common and complex. Data governance is often introduced as a potential solution. Yet tech is catching up. Top Challenges.

Data Governance 52

Data Governance Metadata Data Quality Risk 52

Rocket-Powered Data Science

MARCH 20, 2023

We live in a data-rich, insights-rich, and content-rich world. Data collections are the ones and zeroes that encode the actionable insights (patterns, trends, relationships) that we seek to extract from our data through machine learning and data science. Plus, AI can also help find key insights encoded in data.

Data Warehouse 324

Data Warehouse Metadata Digital Transformation Unstructured Data 324

Alation

OCTOBER 19, 2021

This can make collaboration across departments difficult, leading to inconsistent data quality , a lack of communication and visibility, and higher costs over time (among other issues). The surge in data collection has only compounded this problem. But the rise of the Internet ushered in a new age of interconnectivity.

Recreation/Entertainment 52

Recreation/Entertainment Sales Data-driven Marketing 52

Alation

OCTOBER 12, 2021

Enterprise data analytics enables businesses to answer questions like these. Having a data analytics strategy is a key to delivering answers to these questions and enabling data to drive the success of your business. What is Enterprise Data Analytics? Why Do You Need an Enterprise Analytics Strategy?

Strategy 52

Strategy Enterprise Analytics Data Governance 52

erwin

JULY 17, 2019

Part Two of the Digital Transformation Journey … In our last blog on driving digital transformation , we explored how enterprise architecture (EA) and business process (BP) modeling are pivotal factors in a viable digital transformation strategy. Constructing A Digital Transformation Strategy: Data Enablement.

Digital Transformation 98

Digital Transformation Strategy Metadata Data-driven 98

Alation

AUGUST 26, 2021

Answering these questions can improve operational efficiencies and inform a number of data intelligence use cases, which include data governance, self-service analytics, and more. Data Intelligence: Origin, Evolution, Use Cases. This problem was only exacerbated by explosive growth in data collection and volume.

Metadata 64

Metadata Data Governance Dashboards Software 64

O'Reilly on Data

DECEMBER 19, 2018

We won’t be writing code to optimize scheduling in a manufacturing plant; we’ll be training ML algorithms to find optimum performance based on historical data. If humans are no longer needed to write enterprise applications, what do we do? Given the rate at which data is created, data collection has to be automated.

Machine Learning 261

Machine Learning Software Testing Metadata 261

CIO Business Intelligence

JANUARY 20, 2023

But to get maximum value out of data and analytics, companies need to have a data-driven culture permeating the entire organization, one in which every business unit gets full access to the data it needs in the way it needs it. This is called data democratization. Security and compliance risks also loom.

Data Lake 135

Data Lake Data-driven Finance Data Architecture 135