Peter James Thomas

AUGUST 4, 2020

As usual, the new definitions range across the data arena: from Data Science and Machine Learning; to Information and Reporting; to Data Governance and Controls. Analytical Repository. Boosting [Machine Learning]. Conformed Data (Conformed Dimension). Data Capability.

Data Analytics 98

Data Analytics Analytics Machine Learning Data Governance 98

Laminar Security

DECEMBER 13, 2023

Data discovery and classification play a pivotal role in decision-making processes within organizations. In the traditional approach, data discovery was a time-consuming and labor-intensive process. However, the advent of AI and machine learning (ML) has revolutionized this process.

Data-driven 119

Data-driven Machine Learning Risk Deep Learning 119

Sanjeev Mohan

FEBRUARY 6, 2019

Is Google Cloud Platform Ready to Run Your Data Analytics Pipeline? I saw the winds change and the inquiry requests shifted towards advanced analytics involving machine learning (ML) questions. I ended up writing two documents on data governance. So, why did I decide to write on this topic?

Data Analytics 49

Data Analytics Analytics Data Governance Experimentation 49

Data Virtualization

NOVEMBER 25, 2020

In recent years, we have seen wide adoption of data analytics. Some issues that have been most often cited for this include: Poor data quality: While preparing. However, most organizations continue to find it challenging to quickly yield actionable insights.

Data Analytics 52

Data Analytics Analytics Data Quality Digital Transformation 52

Alation

AUGUST 30, 2022

we are introducing Alation Anywhere, extending data intelligence directly to the tools in your modern data stack, starting with Tableau. We continue to make deep investments in governance, including new capabilities in the Stewardship Workbench, a core part of the Data Governance App. Data governance at scale.

Metadata 52

Metadata Data Quality Data Governance Machine Learning 52

AWS Big Data

MAY 1, 2024

Excel-based data utilization Microsoft Excel is available on almost everyone’s PC in the company, and it helps lower the hurdles when starting to utilize data. However, Excel is mainly designed for spreadsheets; it’s not designed for large-scale data analytics and automation.

Dashboards 108

Dashboards Data-driven Publishing Cost-Benefit 108

IBM Big Data Hub

DECEMBER 16, 2022

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

AWS Big Data

JULY 13, 2023

Data quality for account and customer data – Altron wanted to enable data quality and data governance best practices. Goals – Lay the foundation for a data platform that can be used in the future by internal and external stakeholders.

Optimization 87

Optimization B2B Data Quality Sales 87

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.

Data Strategy 67

Data Strategy Strategy Data Warehouse Prescriptive Analytics 67

erwin

JUNE 11, 2020

Transforming Industries with Data Intelligence. Data intelligence has provided useful and insightful information to numerous markets and industries. With tools such as Artificial Intelligence, Machine Learning, and Data Mining, businesses and organizations can collate and analyze large amounts of data reliably and more efficiently.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

CIO Business Intelligence

MARCH 29, 2022

It isn’t practical to save all your data, but it is important to realize data may be valuable for other projects. You lose that add-on value when you throw data away. . This type of data waste results in missing out on the second project advantage. And the problem is not just a matter of too many copies of data.

Cost-Benefit 52

Cost-Benefit Machine Learning Metadata Data Quality 52

CIO Business Intelligence

JUNE 30, 2023

All of this renewed attention on data and AI, however, brings greater potential risks for those companies that have less advanced data strategies. As these trends continue to evolve, building your data strategy around the principles of openness and governance assures trust in the data.

Internet of Things 87

Internet of Things Strategy Risk Data Strategy 87

BI-Survey

FEBRUARY 6, 2020

Today’s data-literate users want governed and scalable self-service BI functions to answer critical business questions and to get the most out of their data assets. Most prominently, machine learning (ML) enables improvements in various fields. Data management has always been a challenge for companies.

Reporting 59

Reporting Optimization Enterprise Data Quality 59

Andrew White

JANUARY 11, 2021

Governance. Risk Management (most likely within context of governance). Note: Delivery of data, analytics solutions and the sustainment of technology, data and services is a question. Many data science labs are set up as shared services. See The Future of Data and Analytics: Reengineering the Decision, 2025.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Peter James Thomas

AUGUST 2, 2019

After a hiatus of a few months, the latest version of the peterjamesthomas.com Data and Analytics Dictionary is now available. It includes 30 new definitions, some of which have been contributed by people like Tenny Thomas Soman, George Firican, Scott Taylor and and Taru Väre. Thanks to all of these for their help.

Analytics 69

Analytics Data Analytics Data Architecture Statistics 69

Grooper

AUGUST 19, 2019

Applied analytics Business analytics Machine learning and data science. Applied Analytics. Applied analytics is all about building a business analytics portfolio of actionable insights which directly affect and improve business processes. Key Language of Applied Analytics. Data quality.

Analytics 54

Analytics Machine Learning Data-driven Data Science 54

DataKitchen

APRIL 13, 2021

We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Dagster / ElementL — A data orchestrator for machine learning, analytics, and ETL. .

Testing 307

Testing Machine Learning Consulting Data Quality 307

Alation

MARCH 21, 2023

Why is data analytics important for travel organizations? With data analytics , travel organizations can gain real-time insights about customers to make strategic decisions and improve their travel experience. What are common data challenges for the travel industry? Travel can be stressful and emotionally fraught.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

AWS Big Data

JANUARY 30, 2023

This organization is planning to build a data analytical platform, and the insurance policy data is one of the inputs to this platform. Solution overview The data can originate from any source, but typically customers want to bring operational data to data lakes to perform data analytics.

Insurance 75

Insurance Data Lake Data-driven Management 75

Data Virtualization

MARCH 15, 2024

Reading Time: 2 minutes In the dynamic arena of banking, hyper-personalization emerges as a beacon of innovation, reshaping customer interactions in profound ways.

Interactive 64

Interactive Data Integration Management Predictive Analytics 64

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. Data Democratization Organizations are giving more of their. Here are my top five trends to keep an eye on in 2023: 1.

Management 52

Management Data Integration Data Quality Data-driven 52

IBM Big Data Hub

APRIL 27, 2022

The data fabric architectural approach can simplify data access in an organization and facilitate self-service data consumption at scale. Read: The first capability of a data fabric is a semantic knowledge data catalog, but what are the other 5 core capabilities of a data fabric? What’s a data mesh?

Management 85

Management Metadata Data Architecture Data Lake 85

CIO Business Intelligence

NOVEMBER 28, 2023

“By recognizing milestones, leaders give other stakeholders visibility into the progress being made, and also ensure that their team members feel appreciated for the level of effort they are putting in to make unstructured data actionable.” Quality is job one. Another key to success is to prioritize data quality.

Unstructured Data 127

Unstructured Data Data-driven Visualization Data Quality 127

IBM Big Data Hub

OCTOBER 12, 2023

They’re built on machine learning algorithms that create outputs based on an organization’s data or other third-party big data sources. Sometimes, these outputs are biased because the data used to train the model was incomplete or inaccurate in some way. And that makes sense.

Cost-Benefit 81

Cost-Benefit Metadata Data Governance Modeling 81

CIO Business Intelligence

MARCH 22, 2022

Then virtualize your data to allow business users to conduct aggregated searches and analyses using the business intelligence or data analytics tools of their choice. . Set up unified data governance rules and processes. Data analytics powered by AI has created a wealth of business opportunity.

Analytics 104

Analytics Key Performance Indicator Data Warehouse Data-driven 104

IBM Big Data Hub

MARCH 14, 2024

Businesses face significant hurdles when preparing data for artificial intelligence (AI) applications. The existence of data silos and duplication, alongside apprehensions regarding data quality, presents a multifaceted environment for organizations to manage.

Cost-Benefit 81

Cost-Benefit Metadata Optimization Management 81

Alation

FEBRUARY 13, 2020

As a result, self-service analytics users instantly know whether the data asset or query logic they’re looking at is trustworthy or not. Alation’s TrustCheck technology enables a new and modern approach to agile data governance. We need more that makes it easy to identify data quality, data issues, et cetera.

Dashboards 52

Dashboards Data-driven Visualization Data Quality 52

Cloudera

AUGUST 26, 2020

Talend’s data management environment running on Cloudera Data Platform enables you to create and execute Hadoop and Spark integration jobs, process and reconcile Big Data, and implement data governance processes using an intuitive drag-and-drop interface. Certified Machine Learning Partners.

Machine Learning 79

Machine Learning Big Data Data Warehouse Data-driven 79

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

Alation

JANUARY 27, 2022

How do businesses transform raw data into competitive insights? Data analytics. Modern businesses are increasingly leveraging analytics for a range of use cases. Analytics can help a business improve customer relationships, optimize advertising campaigns, develop new products, and much more. What is Data Analytics?

Data Governance 52

Data Governance Analytics Cost-Benefit Data-driven 52

IBM Big Data Hub

AUGUST 4, 2023

Data democratization instead refers to the simplification of all processes related to data, from storage architecture to data management to data security. It also requires an organization-wide data governance approach, from adopting new types of employee training to creating new policies for data storage.

Data Architecture 62

Data Architecture Data Lake Machine Learning Data Governance 62

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