IBM Big Data Hub

JULY 13, 2023

When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. Together, these factors determine the reliability of the organization’s data. In short, yes.

Data Quality 63

Data Quality Data Integration Metadata Cost-Benefit 63

AWS Big Data

JUNE 6, 2023

AWS Glue is a serverless data integration service that makes it simple to discover, prepare, and combine data for analytics, machine learning (ML), and application development. Hundreds of thousands of customers use data lakes for analytics and ML to make data-driven business decisions.

Data Quality 86

Data Quality Data-driven Data Lake Metrics 86

DataKitchen

FEBRUARY 21, 2023

On 24 January 2023, Gartner released the article “ 5 Ways to Enhance Your Data Engineering Practices.” Data team morale is consistent with DataKitchen’s own research. We surveyed 600 data engineers , including 100 managers, to understand how they are faring and feeling about the work that they are doing.

Data-driven 130

Data-driven Testing Risk Cost-Benefit 130

erwin

JULY 22, 2020

Fostering organizational support for a data-driven culture might require a change in the organization’s culture. Recently, I co-hosted a webinar with our client E.ON , a global energy company that reinvented how it conducts business from branding to customer engagement – with data as the conduit. As an example, E.ON

Data-driven 136

Data-driven Data Governance Digital Transformation Data Processing 136

Cloudera

JULY 15, 2021

We recently hosted a roundtable focused on o ptimizing risk and exposure management with data insights. For financial institutions and insurers, risk and exposure management has always been a fundamental tenet of the business. Now, risk management has become exponentially complicated in multiple dimensions. .

Risk 99

Risk Optimization Management Insurance 99

IBM Big Data Hub

SEPTEMBER 11, 2023

The bulk of these uncertainties do not revolve around what software package to pick or whether to migrate to the cloud; they revolve around how exactly to apply these powerful technologies and data with precision and control to achieve meaningful improvements in the shortest time possible.

Data-driven 85

Data-driven IT Measurement Cost-Benefit 85

IBM Big Data Hub

JUNE 8, 2022

Implementing the right data strategy spurs innovation and outstanding business outcomes by recognizing data as a critical asset that provides insights for better and more informed decision-making. By taking advantage of data, enterprises can shape business decisions, minimize risk for stakeholders, and gain competitive advantage.

Data-driven 56

Data-driven Enterprise Data Governance Data Lake 56

IBM Big Data Hub

JANUARY 17, 2023

Due to the convergence of events in the data analytics and AI landscape, many organizations are at an inflection point. Furthermore, a global effort to create new data privacy laws, and the increased attention on biases in AI models, has resulted in convoluted business processes for getting data to users. Data governance.

Data-driven 56

Data-driven Enterprise Data Governance Data Science 56

CIO Business Intelligence

OCTOBER 29, 2024

In 2018, I wrote an article asking, “Will your company be valued by its price-to-data ratio?” The premise was that enterprises needed to secure their critical data more stringently in the wake of data hacks and emerging AI processes. Data theft leads to financial losses, reputational damage, and more.

Enterprise 134

Enterprise Broadcasting Risk Sales 134

DataKitchen

MARCH 12, 2024

Key Success Metrics, Benefits, and Results for Data Observability Using DataKitchen Software Lowering Serious Production Errors Key Benefit Errors in production can come from many sources – poor data, problems in the production process, being late, or infrastructure problems. Director, Data Analytics Team “We had some data issues.

Metrics 118

Metrics Software Cost-Benefit Testing 118

CIO Business Intelligence

NOVEMBER 19, 2024

A modern data and artificial intelligence (AI) platform running on scalable processors can handle diverse analytics workloads and speed data retrieval, delivering deeper insights to empower strategic decision-making. They are often unable to handle large, diverse data sets from multiple sources.

Analytics 52

Analytics Cost-Benefit Finance Data-driven 52

CIO Business Intelligence

OCTOBER 2, 2024

While this leads to efficiency, it also raises questions about transparency and data usage. Data governance Strong data governance is the foundation of any successful AI strategy. This includes regular audits to guarantee data quality and security throughout the AI lifecycle.

Gap analysis 119

Gap analysis Risk Manufacturing Data Governance 119

DataKitchen

MARCH 5, 2024

Why Not Hearing About Data Errors Should Worry Your Data Team In the chaotic lives of data & analytics teams, a day without hearing of any data-related errors is a blessing. This creates an imbalance in workload and resource allocation and prevents a holistic view of data system health and efficiency.

Data Quality 148

Data Quality Measurement Testing Data-driven 148

DataKitchen

FEBRUARY 27, 2024

Your LLM Needs a Data Journey: A Comprehensive Guide for Data Engineers The rise of Large Language Models (LLMs) such as GPT-4 marks a transformative era in artificial intelligence, heralding new possibilities and challenges in equal measure. Embedding: The retrieved data is encoded into embeddings that the LLM can interpret.

Data Quality 118

Data Quality Unstructured Data Testing Interactive 118

CIO Business Intelligence

MAY 2, 2023

The risk of derailments increases as I hear inconsistent answers or too many conflicting priorities. But are product managers developing market- and customer-driven roadmaps and prioritized backlogs?

Digital Transformation 140

Digital Transformation IT Data-driven Metrics 140

CIO Business Intelligence

OCTOBER 16, 2024

As gen AI becomes embedded into more devices, endowing it with autonomous decision-making will depend on real-time data and avoiding excessive cloud costs. By processing data closer to the source, edge computing can enable quicker decisions and reduce costs by minimizing data transfers, making it an alluring environment for AI.

Cost-Benefit 142

Cost-Benefit Manufacturing Data-driven Optimization 142

Laminar Security

DECEMBER 13, 2023

In the ever-evolving digital landscape, the importance of data discovery and classification can’t be overstated. As we generate and interact with unprecedented volumes of data, the task of accurately identifying, categorizing, and utilizing this information becomes increasingly difficult.

Data-driven 119

Data-driven Machine Learning Risk Deep Learning 119

Alation

SEPTEMBER 7, 2021

In the previous blog , we discussed how Alation provides a platform for data scientists and analysts to complete projects and analysis at speed. In this blog we will discuss how Alation helps minimize risk with active data governance. But governance is a time-consuming process (for users and data stewards alike).

Data Governance 59

Data Governance Risk Data Quality Dashboards 59

CIO Business Intelligence

NOVEMBER 13, 2024

Now, picture doing that with a mountain of data. Infused with the magic of artificial intelligence (AI), DataLark revolutionizes data migration, making it faster, more efficient, and surprisingly painless. It involves shifting massive amounts of data from outdated legacy systems to a sleek, modern ERP platform.

Cost-Benefit 64

Cost-Benefit Data-driven Data Integration Consulting 64

CIO Business Intelligence

JANUARY 23, 2024

Keep the number of metrics small and manageable, ideally three or four, and at most seven key ones because people cannot focus on multiple pages of data.” Efficiency metrics might show the impacts of automation and data-driven decision-making. He suggests, “Choose what you measure carefully to achieve the desired results.

Measurement 138

Measurement Digital Transformation KPI Metrics 138

Octopai

JUNE 19, 2024

In today’s data-driven world, the integrity and accuracy of data are paramount for the successful operation of any organization. This is where data contracts come into play. Data contracts work by establishing clear expectations and responsibilities.

Data Quality 52

Data Quality Data-driven Data Integration Risk 52

Octopai

JUNE 19, 2024

In today’s data-driven world, the integrity and accuracy of data are paramount for the successful operation of any organization. This is where data contracts come into play. Data contracts work by establishing clear expectations and responsibilities.

Data Quality 52

Data Quality Data-driven Data Integration Risk 52

Cloudera

NOVEMBER 13, 2024

We are excited to announce the acquisition of Octopai , a leading data lineage and catalog platform that provides data discovery and governance for enterprises to enhance their data-driven decision making.

Metadata 81

Metadata Management Data Governance Data-driven 81

DataKitchen

OCTOBER 20, 2023

In today’s data-driven landscape, Data and Analytics Teams i ncreasingly face a unique set of challenges presented by Demanding Data Consumers who require a personalized level of Data Observability. Data Observability platforms often need to deliver this level of customization.

Insurance 173

Insurance Metadata Data-driven Data Quality 173

CIO Business Intelligence

MARCH 27, 2023

Chief data and analytics officers (CDAOs) are poised to be of increasing strategic importance to their organizations, but many are struggling to make headway, according to data presented last week by Gartner at the Gartner Data & Analytics Summit 2023. Organizations are still investing in data and analytics functions.

Data-driven 145

Data-driven Data Quality Strategy Reporting 145

Rocket-Powered Data Science

FEBRUARY 15, 2023

Third, any commitment to a disruptive technology (including data-intensive and AI implementations) must start with a business strategy. 3) How do we get started, when, who will be involved, and what are the targeted benefits, results, outcomes, and consequences (including risks)? So what? (2)

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

CIO Business Intelligence

DECEMBER 19, 2023

After all, every department is pressured to drive efficiencies and is clamoring for automation, data capabilities, and improvements in employee experiences, some of which could be addressed with generative AI. As every CIO can attest, the aggregate demand for IT and data capabilities is straining their IT leadership teams.

Digital Transformation 142

Digital Transformation Unstructured Data Machine Learning Risk Management 142

CIO Business Intelligence

APRIL 8, 2024

Nearly 10 years ago, Bill James, a pioneer in sports analytics methodology, said if there’s one thing he wished more people understood about sabermetrics, pertaining to baseball, it’s that the data is not the point. The point is to use the data like a razor to cut through false convictions to find the truth.

Analytics 111

Analytics Broadcasting Predictive Analytics Machine Learning 111

O'Reilly on Data

NOVEMBER 28, 2023

AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. Unexpected outcomes, security, safety, fairness and bias, and privacy are the biggest risks for which adopters are testing. The second most common reason was concern about legal issues, risk, and compliance (18% for nonusers, 20% for users).

Enterprise 276

Enterprise Modeling Testing Reporting 276

CIO Business Intelligence

AUGUST 13, 2024

Deep automation transforms enterprises into living organisms, integrating technologies, processes, and data for self-adjustment. AI-integrated tractors, planters, and harvesters form a data-driven team, optimizing tasks and empowering farmers. Prioritize data quality to ensure accurate automation outcomes.

Data-driven 123

Data-driven Metrics Optimization Deep Learning 123

Octopai

JUNE 9, 2024

In today’s data-centric world, organizations often tout data as their most valuable asset. However, many struggle to maintain reliable, trustworthy data amidst complex, evolving environments. This challenge is especially critical for executives responsible for data strategy and operations.

IT 52

IT Data-driven Predictive Analytics Metadata 52

Cloudera

FEBRUARY 14, 2018

I’ve spent the last four years here at Cloudera talking with our customers about how to run their businesses better using their data and Cloudera’s products and services. Now I get to put my money where my mouth is – and turn my focus internally on how we at Cloudera can become more data-driven.

Data-driven 43

Data-driven Data Quality Risk Interactive 43

CIO Business Intelligence

JUNE 9, 2023

Such is the case with a data management strategy. That gap is becoming increasingly apparent because of artificial intelligence’s (AI) dependence on effective data management. For many organizations, the real challenge is quantifying the ROI benefits of data management in terms of dollars and cents. The second best time is now.”

Strategy 115

Strategy Management Key Performance Indicator ROI 115

CIO Business Intelligence

AUGUST 15, 2024

Many of those gen AI projects will fail because of poor data quality, inadequate risk controls, unclear business value , or escalating costs , Gartner predicts. In the enterprise, huge expectations have been partly driven by the major consumer reaction following the release of ChatGPT in late 2022, Stephenson suggests.

ROI 142

ROI Cost-Benefit Experimentation Deep Learning 142

IBM Big Data Hub

NOVEMBER 28, 2022

Metadata management performs a critical role within the modern data management stack. It helps blur data silos, and empowers data and analytics teams to better understand the context and quality of data. This, in turn, builds trust in data and the decision-making to follow. Improve data discovery.

Metadata 56

Metadata Data Quality Data-driven Data Governance 56

Alation

AUGUST 17, 2022

According to analysts, data governance programs have not shown a high success rate. According to CIOs , historical data governance programs were invasive and suffered from one of two defects: They were either forced on the rank and file — who grew to dislike IT as a result. The Risks of Early Data Governance Programs.

Data Governance 92

Data Governance Risk Data-driven Measurement 92

erwin

APRIL 29, 2020

Data lineage is the journey data takes from its creation through its transformations over time. It describes a certain dataset’s origin, movement, characteristics and quality. Tracing the source of data is an arduous task. Data Lineage Use Case: From Tracing COVID-19’s Origins to Data-Driven Business.

Key Performance Indicator 111

Key Performance Indicator Metadata Data Governance Data Quality 111