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. Conformed Data (Conformed Dimension). Data Capability. Data Capability Framework (Data Capability Model).

Data Analytics 98

Data Analytics Analytics Machine Learning Data Governance 98

Alation

MAY 19, 2022

Most organizations leverage an augmented data catalog as a platform for the data fabric, atop which they interweave modular technology, which share metadata to enhance operations. The business benefits of a data fabric are real. Two-thirds of those surveyed by Gartner reported that data fabric has business value.

Metadata 52

Metadata Data Analytics Analytics Data Governance 52

CIO Business Intelligence

JANUARY 24, 2024

Building a successful data strategy at scale goes beyond collecting and analyzing data,” says Ryan Swann, chief data analytics officer at financial services firm Vanguard. They also need to establish clear privacy, regulatory compliance, and data governance policies.

Data Strategy 136

Data Strategy Strategy Unstructured Data Data Governance 136

Alation

JUNE 9, 2023

We were thrilled to attend Gartner Data and Analytics Summit 2023 , on May 22–24 in London. D&A leaders from around the world gathered to discuss and find ways to overcome the latest challenges through strategies and innovations backed by data, analytics, and data science.

Data Analytics 52

Data Analytics Analytics Data Quality Data-driven 52

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. Then in the middle of 2017, a realization set in that we were one year away from GDPR and needed to focus on data governance.

Data Analytics 49

Data Analytics Analytics Data Governance Experimentation 49

Cloudera

OCTOBER 19, 2022

Telco organizations are planning to move towards hybrid multi-cloud to manage data better and support their workforces in the near future. In the Data Governance Masterclass, the tools review identified Cloudera as a Telco Data Governance leader for Data Management. 2- AI capability drives data monetization.

Optimization 78

Optimization Data Architecture Data Governance Digital Transformation 78

O'Reilly on Data

FEBRUARY 11, 2019

Many companies are just beginning to address the interplay between their suite of AI, big data, and cloud technologies. I’ll also highlight some interesting uses cases and applications of data, analytics, and machine learning. Automation in data science and big data. Open Data, Data Generation and Data Networks.

Big Data 212

Big Data Technology Machine Learning Deep Learning 212

CIO Business Intelligence

MARCH 4, 2024

As data volumes continue to increase alongside a correlating number of business requests, modern insurance data leaders face a nuanced set of challenges. Accelerated demand in AI-enabled innovations has recently compounded these issues, prioritizing the need for new capabilities that require even more robust data foundations.

Insurance 96

Insurance Strategy Data Governance Data Integration 96

O'Reilly on Data

FEBRUARY 4, 2019

In practice this means developing a coherent strategy for integrating artificial intelligence (AI), big data, and cloud components, and specifically investing in foundational technologies needed to sustain the sensible use of data, analytics, and machine learning. Data Platforms. Data Integration and Data Pipelines.

Machine Learning 278

Machine Learning Enterprise IoT Big Data 278

IBM Big Data Hub

JUNE 8, 2022

However, a foundational step in evolving into a data-driven organization requires trusted, readily available, and easily accessible data for users within the organization; thus, an effective data governance program is key. Why you should automate data governance and how a data fabric architecture helps.

Data-driven 57

Data-driven Enterprise Data Governance Data Lake 57

FineReport

APRIL 9, 2024

Challenges in Data Management Data Security and Compliance The protection of sensitive patient information and adherence to regulatory standards pose significant challenges in healthcare data management. This foundational approach is vital for reliable decision-making based on trustworthy information derived from BI tools.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

CIO Business Intelligence

DECEMBER 28, 2022

And scope 3 reporting—an account of carbon emissions across the supply chain to build equipment, provide professional expertise, or deliver a subscription service—may be the most rigorous and challenging requirement. And scope 3 reporting for one company depends on scopes 1 and 2 reporting from the next company upstream in the supply chain.

Reporting 117

Reporting Consulting Manufacturing Software 117

CIO Business Intelligence

OCTOBER 24, 2023

Alternatively, they can accelerate transformation by prioritizing force-multiplying initiatives such as aligning data science and data governance programs or improving IT operations with AIops capabilities. All three must align business and data-management strategies, complemented by streamlined data and analytics capabilities.”

Digital Transformation 145

Digital Transformation Data-driven Business Objectives Strategy 145

CIO Business Intelligence

NOVEMBER 9, 2022

One potential solution to this challenge is to deploy self-service analytics, a type of business intelligence (BI) that enables business users to perform queries and generate reports on their own with little or no help from IT or data specialists. But there are right and wrong ways to deploy and use self-service analytics.

Analytics 137

Analytics Slice and Dice Metrics Sales 137

Alation

MARCH 8, 2022

Self-service analytics empowers business users to find and use the data they need, quickly and confidently, without bothering others or taking others away from more valuable tasks. More precisely, it lets business users locate and understand datasets, create and run queries, and generate reports with little to no support.

Analytics 52

Analytics Data Governance Data-driven Data Science 52

CIO Business Intelligence

AUGUST 22, 2023

It is driven by changes in customer expectations, opportunities to evolve employee experiences, and building differentiating capabilities with data, analytics, and artificial intelligence — all of which have no clear end point, nor are exclusively technology-focused. Digital transformation isn’t dead — it’s becoming table stakes.

Digital Transformation 98

Digital Transformation Data-driven Cost-Benefit Strategy 98

Octopai

SEPTEMBER 22, 2019

. – Property insurers are using troves of geographical, geological, climate, and other data to assess all kinds of hazard risks. – All types of insurance companies are leveraging data analytics to detect and prosecute fraud. The keys to proper insurance data managemen t are data governance and metadata management.

Metadata 41

Metadata Insurance Management Data Governance 41

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

Andrew White

DECEMBER 9, 2019

The outline of the call went as follows: I was taking to a central state agency who was organizing a data governance initiative (in their words) across three other state agencies. All four agencies had reported an independent but identical experience with data governance in the past. Information (processed data).

Analytics 66

Analytics Data Lake Data Governance Metadata 66

Laminar Security

DECEMBER 13, 2023

This is further exacerbated by the employment of outdated processes or solutions that are ill-equipped to cater to the demands of present-day cloud data security. Traditional methods of data management are no longer sufficient for handling the vast and complex data landscape.

Data-driven 119

Data-driven Machine Learning Risk Deep Learning 119

IBM Big Data Hub

DECEMBER 16, 2022

In other words, a data catalog makes the use of data for insights generation far more efficient across the organization, while helping mitigate risks of regulatory violations. This is especially helpful when handling massive amounts of big data. Protected and compliant data. Why IBM Watson Knowledge Catalog?

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

IBM Big Data Hub

APRIL 25, 2023

In a prior blog , we pointed out that warehouses, known for high-performance data processing for business intelligence, can quickly become expensive for new data and evolving workloads. Discover how you can optimize your data warehouse to scale analytics and artificial intelligence (AI) workloads with a data lakehouse strategy.

Optimization 57

Optimization Strategy Data Warehouse Cost-Benefit 57

erwin

FEBRUARY 4, 2021

Better decision-making has now topped compliance as the primary driver of data governance. However, organizations still encounter a number of bottlenecks that may hold them back from fully realizing the value of their data in producing timely and relevant business insights. Data Governance Bottlenecks. Regulations.

Data Governance 89

Data Governance Metadata Data Quality Risk Management 89

Smarten

JUNE 13, 2019

With self-serve data preparation tools, you can: Improve business analyst and business user productivity. Reduce the time to prepare data for analysis. Engender social BI and data popularity. Balance agility with data governance and data quality. Reduce user dependence on analysts, ETL and SQL expertise.

Data Quality 51

Data Quality Data Governance Testing Visualization 51

IBM Big Data Hub

JANUARY 5, 2023

The first generation of data architectures represented by enterprise data warehouse and business intelligence platforms were characterized by thousands of ETL jobs, tables, and reports that only a small group of specialized data engineers understood, resulting in an under-realized positive impact on the business.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

AWS Big Data

MAY 17, 2023

Peloton’s data volumes soar as the business grows Credit: Peloton As Peloton’s business has evolved, the amount of data it is generating and analyzing has grown exponentially. From 2019 to now, Wang reports the amount of data the company holds has grown by a factor of 20.

Data Warehouse 109

Data Warehouse Cost-Benefit Sales Data-driven 109

Smarten

SEPTEMBER 15, 2017

Requirements Planning for Data Analytics. Many organizations are so anxious to get into analytics that they fail to consider the depth and breadth of their needs. While it is true that advanced analytics can help every type and size of business, it is important to remember that YOUR organization is not like any other enterprise.

Analytics 40

Analytics Statistics Data Governance Cost-Benefit 40

Cloudera

MAY 12, 2021

In light of a year of unprecedented disruptions, where data has never been so important, and to reflect on the rapidly advancing world of data-led digital transformation, we are excited to announce this year’s 7 categories: DATA LIFECYCLE CONNECTION. DATA FOR GOOD. A popular category last year, and no doubt this year too.

Digital Transformation 66

Digital Transformation Machine Learning Optimization Data Lake 66

Laminar Security

AUGUST 21, 2023

As we hit 2023, Gartner’s Hype Cycle for Data Security sheds light on the latest advancements and technologies that can bolster data security including data security posture management (DSPM). Convergence of data security solutions is necessary for consistency of product functionality and workflow efficiency.

Management 40

Management Risk Unstructured Data Data Strategy 40

bridgei2i

OCTOBER 8, 2021

The emergence of IoT, cloud computing, and big data analytics combined with AI tech has brought enterprises to a tipping point in their journey towards making AI real. Download Whitepaper. They send real-time updates to farmers enabling large-scale water conservation.

Digital Transformation 52

Digital Transformation Contextual Data Consulting IoT 52

Octopai

DECEMBER 22, 2019

What a flashback to see all that we’ve achieved this year in data governance, risk and compliance, data analysis and reporting. The market demands easy and speedy management of data amid an increasingly complex data landscape. Named by Solutions Review as an Analytics Vendor to Watch, 2020.

Metadata 54

Metadata Management OLAP Data Governance 54

CIO Business Intelligence

JUNE 20, 2022

The strategy also highlighted its NHS COVID-19 Data Store as a case study for how data should be managed in the NHS, with the Data Store helping decision-makers to understand how COVID-19 was spreading, to ensure critical equipment was supplied to those with the greatest need, and to support clinical research.

Data Strategy 103

Data Strategy Strategy Digital Transformation Data Architecture 103

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

BizAcuity

APRIL 14, 2022

Its effective data analytics that allows personalization in marketing & sales, identifying new opportunities, making important decisions and being sustainable for the long term. Competitive Advantages to using Big Data Analytics. The majority of the data a business has stored is generally unstructured.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

DataKitchen

NOVEMBER 18, 2021

Imagine a data pipeline error or data problem that impacts critical analytics. Most organizations find out about these errors from their customers, such as a VP of Sales who notices that the bookings report is millions of dollars off. Restrictive data governance Policies. Blaming and finger-pointing.

Testing 246

Testing Data Governance Measurement Software 246

CIO Business Intelligence

MARCH 29, 2022

A common data habit that results in missed opportunity is assuming data has no further value once it’s been used for the particular purpose. Data is ingested, processed, transformed (perhaps for a specific report or to be stored in a traditional database), and then the raw or partially processed data is discarded.

Cost-Benefit 52

Cost-Benefit Machine Learning Metadata Data Quality 52

Smarten

AUGUST 17, 2018

But, the idea is gaining ground as markets and organizations adjust to the idea that data analytics and self-serve access can benefit and change data literacy, as well as the approach to and foundation of business decisions, and the collaborative power and application of analytics within the business structure.

Analytics 40

Analytics Measurement Data-driven Optimization 40