IBM Big Data Hub

JUNE 12, 2023

People analytics is at the center of human resources (HR) strategy and planning. Companies rely heavily on data and analytics to find and retain talent, drive engagement, improve productivity and more across enterprise talent management. According to a Gartner report , poor data quality costs organizations an average of USD 12.9

Data Quality 67

Data Quality Data Governance People Analytics Data-driven 67

Data Virtualization

JANUARY 25, 2024

Reading Time: 3 minutes As we head into 2024, it is imperative for data management leaders to look in their rear-view mirrors to assess and, if needed, refine their data management strategies.

Management 59

Management Data Integration Strategy Data Lake 59

Smart Data Collective

APRIL 30, 2021

However, your data integrity practices are just as vital. But what exactly is data integrity? How can data integrity be damaged? And why does data integrity matter? What is data integrity? Indeed, without data integrity, decision-making can be as good as guesswork.

Data Integration 110

Data Integration Software Strategy Management 110

IBM Big Data Hub

NOVEMBER 4, 2022

Data is the new oil and organizations of all stripes are tapping this resource to fuel growth. However, data quality and consistency are one of the top barriers faced by organizations in their quest to become more data-driven. Unlock quality data with IBM. and its leading data observability offerings.

Data Quality 57

Data Quality Metadata Data Governance Data-driven 57

Data Virtualization

MAY 19, 2023

Reading Time: 11 minutes The post Data Strategies for Getting Greater Business Value from Distributed Data appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Strategy 52

Data Strategy Strategy Data Integration Management 52

CIO Business Intelligence

APRIL 17, 2024

Salesforce’s reported bid to acquire enterprise data management vendor Informatica could mean consolidation for the integration platform-as-a-service (iPaaS) market and a new revenue stream for Salesforce, according to analysts. Informatica offers similar services via its Intelligent Data Management Cloud (IDMC) platform.

Cost-Benefit 128

Cost-Benefit B2B Marketing Enterprise 128

IBM Big Data Hub

MAY 9, 2022

A confluence of events in the data management and AI landscape is bearing down on companies, no matter their size, industry or geographical location. Some of these, such as the continued sprawl of data across multicloud environments have been looming for years, if not decades. Multicloud data integration.

Management 57

Management Data Quality Metadata Data Integration 57

Jim Harris

DECEMBER 24, 2015

Have you ever experienced that sinking feeling, where you sense if you don’t find data quality, then data quality will find you? I hope that you enjoy reading this blog post, but most important, I hope you always remember: “Data are friends, not food.” Data Silos. You, Data-Dude, takin’ on the defects.

Data Quality 56

Data Quality Enterprise Business Intelligence Data Governance 56

CIO Business Intelligence

MAY 8, 2024

Automic is the largest listed registry provider in Australia, with an integrated cloud-native platform that manages listed registry, funds, employee share plans, and investor analytics. Then we have to make sense of the data, massage it and import it in our system. The first is to reconcile the data.

Risk 111

Risk Testing Strategy Technology 111

AWS Big Data

FEBRUARY 29, 2024

Data is your generative AI differentiator, and a successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach. As part of the transformation, the objects need to be treated to ensure data privacy (for example, PII redaction).

Data Governance 91

Data Governance Unstructured Data Metadata Data Lake 91

Octopai

MAY 15, 2023

How can you save your organizational data management and hosting cost using automated data lineage. Do you think you did everything already to save organizational data management costs? What kind of costs organization has that data lineage can help with? Well, you probably haven’t done this yet!

Data Quality 52

Data Quality Data Governance Data Integration Risk 52

FineReport

APRIL 9, 2024

Additionally, BI tools enable organizations to adopt a data-driven approach to strategy formulation, leading to more informed decision-making at all levels. Data Integration : One of the fundamental aspects to consider is the ability of BI platforms to seamlessly integrate data from various sources.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

erwin

JANUARY 30, 2020

Constructing a Digital Transformation Strategy: How Data Drives Digital. I’m encouraged by these results as it tells us that enterprises are really beginning to embrace the power of data to shape their organizations. And close to 50 percent have deployed data catalogs and business glossaries. Stop Wasting Your Time.

Data Governance 145

Data Governance Metadata Cost-Benefit Digital Transformation 145

Data Virtualization

AUGUST 4, 2022

Reading Time: 3 minutes Last month, IDC announced that LeasePlan, a car-as-a-service company, was the winner of IDC’s European Data Strategy and Innovation awards, in the category of Data Management Excellence, for LeasePlan’s logical data fabric. This is a testament to the maturity of.

Data Strategy 52

Data Strategy Data Integration Strategy Management 52

FineReport

MAY 31, 2023

The balance sheet plays a vital role in internal management, helping companies fine-tune their business strategies and prevent misuse. By comparing the current ratio, quick ratio, and cash flow ratio, companies can assess their current operational status and determine necessary actions to align with their business strategies.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

TDAN

SEPTEMBER 19, 2023

Information technology (IT) plays a vital role in data governance by implementing and maintaining strategies to manage, protect, and responsibly utilize data. Through advanced technologies and tools, IT ensures that data is securely stored, backed up, and accessible to authorized personnel.

Data Governance 81

Data Governance IT Strategy Management 81

CIO Business Intelligence

JANUARY 9, 2024

Another tough topic that CIOs are having to surface to their colleagues: how problems with enterprise data quality stymie their AI ambitions. Similarly, the 2023 US AI Risk Survey Report from professional services firm KPMG found that data integrity was No. How does our AI strategy address ethical concerns?

IT 140

IT Risk Cost-Benefit Enterprise 140

CIO Business Intelligence

APRIL 29, 2022

Despite soundings on this from leading thinkers such as Andrew Ng , the AI community remains largely oblivious to the important data management capabilities, practices, and – importantly – the tools that ensure the success of AI development and deployment. Recommendations for Data and AI Leaders. Addressing the Challenge.

Data Governance 145

Data Governance IT Risk Data Lake 145

erwin

JANUARY 11, 2019

A company can’t effectively implement data governance – documenting and applying business rules and processes, analyzing the impact of changes and conducting audits – if it fails at data management. The problem usually starts by relying on manual integration methods for data preparation and mapping.

Data Governance 40

Data Governance Risk Metadata Management 40

CIO Business Intelligence

FEBRUARY 16, 2023

My vision is that I can give the keys to my businesses to manage their data and run their data on their own, as opposed to the Data & Tech team being at the center and helping them out,” says Iyengar, director of Data & Tech at Straumann Group North America. The offensive side?

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 105

Ontotext

DECEMBER 1, 2023

It enriched their understanding of the full spectrum of knowledge graph business applications and the technology partner ecosystem needed to turn data into a competitive advantage. Content and data management solutions based on knowledge graphs are becoming increasingly important across enterprises.

Metadata 78

Metadata Sales Consulting Enterprise 78

Octopai

JANUARY 31, 2021

Data lineage is an essential tool that among other benefits, can transform insights, help BI teams understand the root cause of an issue, as well as help achieve and maintain compliance. Through the use of data lineage, companies can better understand their data and its journey. Data Engineering Podcast. A-Team Insight.

Data Governance 57

Data Governance Data Processing Data Quality Metadata 57

IBM Big Data Hub

JULY 13, 2022

MANTA Automated Data Lineage for IBM Cloud Pak for Data is a deep integration between MANTA’s end-to-end Data Lineage platform and Watson Knowledge Catalog on IBM Cloud Pak for Data. The multi-cloud data integration within the data fabric also helps connect the various data sources MANTA will be scanning.

Metadata 67

Metadata Data Governance Data Quality Data Integration 67

Ontotext

SEPTEMBER 15, 2020

‘Data Fabric’ has reached where ‘Cloud Computing’ and ‘Grid Computing’ once trod. Data Fabric hit the Gartner top ten in 2019. The purpose of weaving a Data Fabric is to remove the friction and cost from accessing and sharing data in the distributed ICT environment that is the norm.

Metadata 69

Metadata Knowledge Discovery Data Quality Strategy 69

Octopai

JUNE 26, 2020

In order to figure out why the numbers in the two reports didn’t match, Steve needed to understand everything about the data that made up those reports – when the report was created, who created it, any changes made to it, which system it was created in, etc. Enterprise data governance. Metadata in data governance.

Metadata 84

Metadata Data Governance Enterprise Reporting 84

erwin

DECEMBER 12, 2019

But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance. Managing metadata should not be a sub-goal of data governance. Quite simply, metadata is data about data. What Is Metadata? by up to 70 percent.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

CIO Business Intelligence

SEPTEMBER 2, 2022

But financial services companies need skilled IT professionals to help manage the integration of new and emerging technology, while modernizing legacy finance tech. You’ll also be expected to stay on top of latest tech trends, work closely with product managers, and assist in building cloud-based solutions for financial clients.

Finance 98

Finance IT Software Reporting 98

CIO Business Intelligence

AUGUST 31, 2022

But financial services companies need skilled IT professionals to help manage the integration of new and emerging technology, while modernizing legacy finance tech. You’ll also be expected to stay on top of latest tech trends, work closely with product managers, and assist in building cloud-based solutions for financial clients.

Finance 98

Finance IT Software Reporting 98

CIO Business Intelligence

JUNE 13, 2022

As with all financial services technologies, protecting customer data is extremely important. In some parts of the world, companies are required to host conversational AI applications and store the related data on self-managed servers rather than subscribing to a cloud-based service. Just starting out with analytics?

Data Processing 105

Data Processing Deep Learning Insurance Cost-Benefit 105

CIO Business Intelligence

FEBRUARY 20, 2023

Salesforce Administrator A Salesforce Certified Administrator manages and maintains an organization’s Salesforce CRM system. This includes creating and modifying user accounts, managing data, creating and maintaining custom fields and objects, and configuring the system to meet organizational needs.

Consulting 87

Consulting B2B Cost-Benefit Sales 87

Alation

JUNE 2, 2022

In part one of this series, I discussed how data management challenges have evolved and how data governance and security have to play in such challenges, with an eye to cloud migration and drift over time. Data management is not yet a solved problem, but modern data management is leagues ahead of prior approaches.

Modeling 52

Modeling Data Governance Statistics Unstructured Data 52

O'Reilly on Data

DECEMBER 12, 2019

These recommendations are based on our experience, both as a data scientist and as a lawyer, focused on managing the risks of deploying ML. In addition to newer innovations, the practice borrows from model risk management, traditional model diagnostics, and software testing. That’s where remediation strategies come in.

Machine Learning 191

Machine Learning Modeling Testing Risk Management 191

Jet Global

DECEMBER 7, 2020

A leading provider of financial performance management software, IDL specializes in automating the consolidation of financial data from multiple sources, significantly reducing closing cycle times and eliminating manual closing errors. insightsoftware announced its intent to acquire IDL on November 10. ” About insightsoftware.

Finance 52

Finance Software Reporting Forecasting 52

erwin

DECEMBER 12, 2019

But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance. Managing metadata should not be a sub-goal of data governance. Quite simply, metadata is data about data. What Is Metadata? by up to 70 percent.

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

Jet Global

MAY 1, 2020

We can almost guarantee you different results from each, and you end up with no data integrity whatsoever. The non-mechanical way to do it is to put a business sponsor on the team who believes in a transparent, fact-based approach to management. Data quality issues. Learn how to prepare your data for BI.

Data Warehouse 64

Data Warehouse Data Quality Risk Reporting 64

Ontotext

MARCH 8, 2023

Consultants can leverage insights that are certified and align with industry standards to provide clients with a strategy that can generate profit while supporting sustainability mission and impact, detect patterns and provide market intelligence to their clients.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

Andrew White

NOVEMBER 14, 2022

Such programs expect business folks to “own” data for which they have little interest in managing and for which they have even less knowledge of the business impact of such work. How is it that trying to be aware of all your data is the first step to working out what data (or analytic) actually needs to be governed first?

Data Integration 52

Data Integration Technology Data Governance Analytics 52