IBM Big Data Hub

SEPTEMBER 6, 2023

In a May 2023 survey carried out by IBM and Momentive.ai , 67% of CMOs reported that they plan on implementing generative AI in the next 12 months and 86% plan to do so within 24 months. The journey starts with sound data. With the right generative AI strategy, marketers can mitigate these concerns.

Marketing 117

Marketing Strategy B2B Cost-Benefit 117

CIO Business Intelligence

MARCH 24, 2023

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time.

Data Governance 142

Data Governance Management Metadata Data Quality 142

Octopai

JULY 9, 2020

Actually, effective data lineage delivers important enhancements to BI and enables informed decision-making , as it enables data teams to tackle numerous use cases such as regulatory compliance, system upgrades & migrations, M&A (system consolidation), reporting inaccuracies, business changes etc.

Insurance 86

Insurance Risk Management Machine Learning Metadata 86

Cloudera

JANUARY 5, 2023

What is certain is that having an enterprise data strategy aligned to the organization’s cloud strategy and business priorities will help the organization drive greater business value by improving operational efficiencies and unlocking new revenue streams. The results are higher revenues, lower risks, and increased productivity for the bank.

Cost-Benefit 52

Cost-Benefit Business Objectives Machine Learning Data Architecture 52

erwin

SEPTEMBER 17, 2020

According to erwin’s “2020 State of Data Governance and Automation” report , close to 70 percent of data professional respondents say they spend an average of 10 or more hours per week on data-related activities, and most of that time is spent searching for and preparing data.

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

CIO Business Intelligence

SEPTEMBER 21, 2023

The phrase “existential risk” is now everywhere—not in the sense the AI would destroy humanity, but that it would make business functions, or even entire companies, obsolete. If you take something slightly risky and make it a thousand times bigger, the risks are amplified,” he says. But it’s a sign of what’s to come. “If

Enterprise 130

Enterprise Consulting Modeling Cost-Benefit 130

CIO Business Intelligence

APRIL 29, 2022

The data-first transformation journey can appear to be a lengthy one, but it’s possible to break it down into steps that are easier to digest and can help speed you along the pathway to achieving a modern, data-first organization. Key features of data-first leaders. 5x more likely to be highly resilient in terms of data loss.

Digital Transformation 128

Digital Transformation Strategy Data-driven Data Strategy 128

erwin

JANUARY 9, 2020

For decades, data modeling has been the optimal way to design and deploy new relational databases with high-quality data sources and support application development. Today’s data modeling is not your father’s data modeling software. New ODBC query tool for creating and running custom model and metadata reports.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

erwin

DECEMBER 12, 2019

Is it sensitive or are there any risks associated with it? The Role of Metadata in Data Governance. As data continues to proliferate, so does the need for data and analytics initiatives to make sense of it all. Click here to get a free copy of the report. Where did it come from? Where is it now?

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

CDW Research Hub

JULY 27, 2021

Cloud-based solutions are promising, but some organizations are reluctant to migrate from legacy systems because it could result in costly downtime and many unknown data architecture and migration issues. This enables organizations to connect to any data source and combine any type of data.

Data Warehouse 52

Data Warehouse Data Lake Data Architecture Consulting 52

IBM Big Data Hub

JUNE 8, 2023

Having a well-designed data architecture and fact-based data can help with understanding performance and measuring progress against broad-based operational and ESG goals. Insights generated from this data can help organizations further their ESG programs as well as drive operational efficiency.

Technology 80

Technology Measurement Cost-Benefit Data-driven 80

Anmut

APRIL 6, 2023

By regularly conducting data maturity assessments, you can catch potential issues early and make proactive changes to supercharge your business’s success. First, you must define the data assets you want the data maturity assessment to assess. Second, you should understand the different roles surrounding those data assets.

Cost-Benefit 52

Cost-Benefit Data Quality Data Governance Measurement 52

Sisense

SEPTEMBER 3, 2020

They are the link between the data resources available to an enterprise and executives looking for opportunities to make the business better, faster, and stronger. Data Analyst. Data analysts might report to a CIO, a Chief Data Officer (CDO), or possibly to a data scientist or business analyst team leader.

Statistics 97

Statistics Metrics Visualization Finance 97

CIO Business Intelligence

JANUARY 30, 2024

Corporate ESG reporting is getting real for companies around the globe. Enacted and proposed regulations in the EU, US, and beyond are deepening reporting requirements in an effort to change business behavior. The foundation for ESG reporting, of course, is data. The foundation for ESG reporting, of course, is data.

Reporting 113

Reporting Data Quality Strategy Data-driven 113

CIO Business Intelligence

APRIL 25, 2022

Because NPD is a data company and Person oversees data architecture, “I own the factory,” he says. “So Too many CIOs spend all their time with their attention fixed on the C-suite and the board, he adds, and only working with one or two levels of direct reports. Prithvi Mulchandani Deltek.

IT 115

IT Insurance Cost-Benefit Reporting 115

erwin

DECEMBER 12, 2019

Is it sensitive or are there any risks associated with it? The Role of Metadata in Data Governance. As data continues to proliferate, so does the need for data and analytics initiatives to make sense of it all. Click here to get a free copy of the report. Where did it come from? Where is it now?

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

Cloudera

JULY 29, 2022

It supports business objectives like increasing revenues, improving customer experience, and driving profitability by giving business units and users access to relevant data so they can quickly gain the insight they need. Telecom operators can gain a competitive advantage by leveraging the massive volume of data generated on their networks.

Data Architecture 84

Data Architecture Data Strategy Risk Management Strategy 84

DataKitchen

JUNE 1, 2022

Data Teams can’t answer very basic questions about the many, many pipelines they have in production and in development. For example: Data. Did my source files/data arrive on time? Is the data in the report I am looking at “fresh”? Is my output data the right quality?

Risk 130

Risk Management Testing Dashboards 130

AWS Big Data

APRIL 26, 2023

In addition, an inventory of all assets is one of the foundational elements of an organization that facilitates the security and compliance team to audit the assets for improving privacy, security posture and mitigate risk to ensure the business operations run smoothly.

Metadata 52

Metadata Dashboards Visualization Consulting 52

Cloudera

FEBRUARY 15, 2024

While there are clear reasons SVB collapsed, which can be reviewed here , my purpose in this post isn’t to rehash the past but to present some of the regulatory and compliance challenges financial (and to some degree insurance) institutions face and how data plays a role in mitigating and managing risk.

Insurance 83

Insurance Data Architecture Risk Management Risk 83

AWS Big Data

APRIL 3, 2024

They recognize the importance of accurate, complete, and timely data in enabling informed decision-making and fostering trust in their analytics and reporting processes. Amazon DataZone data assets can be updated at varying frequencies. To learn more about Amazon DataZone, refer to the Amazon DataZone User Guide.

Data Quality 90

Data Quality Visualization Metadata Metrics 90

Sisense

AUGUST 28, 2020

Data integrity looks at the whole life cycle for your data and considers the processes around how it’s generated, stored, accessed, and applied to accomplish specific business tasks. Throughout that life cycle, a good data integrity program aims to ensure that data is available, complete and accurate.

Data Integration 101

Data Integration Testing Data Quality Data-driven 101

CIO Business Intelligence

JULY 28, 2023

This approach allows enterprises to streamline processes, gather data for specific purposes, get better insights from data in a secure environment, and efficiently share it. 1 A clear picture of where data lives and how it moves enables enterprises to consistently protect this data and its privacy.

Risk 92

Risk Management Cost-Benefit Data mining 92

Cloudera

AUGUST 22, 2021

According to Flexera’s 2021 State of the Cloud report , 99% of respondents are using at least one public or private cloud, in other words, a hybrid cloud approach. In the past, businesses tended to hesitate to move critical workloads or sensitive data to the cloud, especially to the public cloud. This is where Cloudera comes in.

Cost-Benefit 103

Cost-Benefit Strategy IoT ROI 103

Cloudera

OCTOBER 19, 2023

While navigating so many simultaneous data-dependent transformations, they must balance the need to level up their data management practices—accelerating the rate at which they ingest, manage, prepare, and analyze data—with that of governing this data.

Data-driven 73

Data-driven Data Architecture Predictive Modeling Digital Transformation 73

CIO Business Intelligence

JULY 28, 2023

The answers can all be found in the 2023 Edge Advantage Report. The report is the result of interviews with over 600 organizations that have invested in edge solutions, across 17 countries and five major industry groups. The report highlights five of these which are essential for any business looking to achieve the edge advantage: 1.

IT 89

IT IoT Reporting Data Architecture 89

IBM Big Data Hub

DECEMBER 1, 2023

Role of generative AI in digital transformation and core modernization Whether used in routine IT infrastructure operations, customer-facing interactions, or back-office risk analysis, underwriting and claims processing, traditional AI and generative AI are key to core modernization and digital transformation initiatives.

Insurance 101

Insurance Digital Transformation Unstructured Data Risk 101

Cloudera

SEPTEMBER 7, 2023

But it’s also fraught with risk. This June, for example, the European Union (EU) passed the world’s first regulatory framework for AI, the AI Act , which categorizes AI applications into “banned practices,” “high-risk systems,” and “other AI systems,” with stringent assessment requirements for “high-risk” AI systems.

Insurance 78

Insurance Risk Data-driven Finance 78

Octopai

APRIL 8, 2020

While there are many factors that led to this event, one critical dynamic was the inadequacy of the data architectures supporting banks and their risk management systems. Inaccurate Data Management Leads to Financial Collapse. One reason the financial collapse took the world by surprise was the lack of data transparency.

Finance 52

Finance Cost-Benefit Metadata Data Architecture 52

IBM Big Data Hub

FEBRUARY 19, 2024

Data insight and AI automation drive cost optimization with predictive maintenance, process automation and workforce optimization. AI automation substantially reduces data security and compliance risks by proactively identifying and analyzing the severity, scope and root cause of threats before they impact the business.

Cost-Benefit 66

Cost-Benefit Data-driven Optimization Marketing 66

IBM Big Data Hub

DECEMBER 4, 2023

The platform has been used to modernize and unify the information technology (IT) ecosystem of major financial firms, simplify human capital management (HCM) across brands’ subsidiaries, and optimize reporting processes in complex healthcare settings. Before Oracle implementation Implementing Oracle can appear to be a daunting task.

Testing 75

Testing Consulting Digital Transformation Cost-Benefit 75

erwin

OCTOBER 24, 2019

As a result, the applications and initiatives that depend on a solid data infrastructure may be compromised, leading to faulty analysis and insights. Metadata Is the Heart of Data Intelligence. Organizations then can take a data-driven approach to business transformation , speed to insights, and risk management.

Metadata 104

Metadata Management Data-driven Data Architecture 104

AWS Big Data

APRIL 19, 2023

Every day, customers are challenged with how to manage their growing data volumes and operational costs to unlock the value of data for timely insights and innovation, while maintaining consistent performance. As data workloads grow, costs to scale and manage data usage with the right governance typically increase as well.

Data Warehouse 55

Data Warehouse Data Lake Unstructured Data Optimization 55

Cloudera

NOVEMBER 25, 2021

A modern, cloud-native data architecture with separation of compute and storage, containerized data services (for agility and elasticity), and object storage (for scale and cost-efficiency). Existing in-house tools were inadequate in managing their data workloads considering the increasing scale of data clusters and demand.

Machine Learning 87

Machine Learning IoT Risk ROI 87

BizAcuity

APRIL 14, 2022

Be it supply chain resilience, staff management, trend identification, budget planning, risk and fraud management, big data increases efficiency by making data-driven predictions and forecasts. With adequate market intelligence, big data analytics can be used for unearthing scope for product improvement or innovation.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

Cloudera

NOVEMBER 18, 2020

The technological linchpin of its digital transformation has been its Enterprise Data Architecture & Governance platform. It hosts over 150 big data analytics sandboxes across the region with over 200 users utilizing the sandbox for data discovery. Data Champions . Winner: OVO.

Internet Publishing and Broadcasting 118

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 118

IBM Big Data Hub

JULY 13, 2023

Physical data integrity is the protection of data wholeness (meaning the data isn’t missing important information), accessibility and accuracy while data is stored or in transit. Natural disasters, power outages, human error and cyberattacks pose risks to the physical integrity of data.

Data Quality 66

Data Quality Data Integration Metadata Cost-Benefit 66