IBM Big Data Hub

JUNE 29, 2023

For example, the sales department might develop a plan to enter new markets or launch new products, while the supply chain department focuses on inventory optimization and ensuring efficient logistics. Optimal resource allocation Integrated Business Planning enables organizations to optimize resource allocation across different functions.

Key Performance Indicator 76

Key Performance Indicator Forecasting Sales Data Integration 76

FineReport

APRIL 9, 2024

Benefits of Utilizing BI Tools The utilization of data analysis tools such as business intelligence software offers numerous benefits for organizations seeking to gain a competitive edge in today’s dynamic market landscape. This results in optimized resource utilization and cost efficiencies while enhancing overall productivity.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

Cloudera

AUGUST 12, 2021

In my previous blog post, I shared examples of how data provides the foundation for a modern organization to understand and exceed customers’ expectations. Collecting workforce data as a tool for talent management. Risk Management. MetLife then reaches out to specific drivers to urge them to take precautions. .

Data-driven 111

Data-driven Manufacturing Insurance Risk Management 111

Cloudera

SEPTEMBER 29, 2021

The Indian government has also been working towards going digital with the launch of Digital India in 2015, a campaign that sought to provide access to government services electronically. This data allows the government to have a deeper understanding of the initiatives that it launches and their impact. .

Digital Transformation 84

Digital Transformation Data Governance Data-driven Uncertainty 84

Cloudera

MARCH 25, 2021

Will the data privacy controls ultimately help create an enterprise approach to data? Data lies at the heart of knowing the customer and enabling a better customer experience. Risk management can be optimized by the improved use of data and analytics to run models, account for more variables and scrutinize probable outcomes.

Data Strategy 65

Data Strategy Strategy Enterprise Insurance 65

IBM Big Data Hub

DECEMBER 14, 2023

While the need for reliable, resilient, recoverable and corruption-free data governance has long been achieved by a backup and recovery routine, more modern techniques have been developed to support proactive measures that protect against threats before they occur.

Risk 79

Risk Measurement Business Objectives Optimization 79

IBM Big Data Hub

NOVEMBER 28, 2022

However, as data volumes continue to grow, manual approaches to metadata management are sub-optimal and can result in missed opportunities. Suppose that a new data asset becomes available but remains hidden from your data consumers because of improper or inadequate tagging. Improve data discovery.

Metadata 56

Metadata Data Quality Data-driven Data Governance 56

IBM Big Data Hub

JANUARY 19, 2023

The key to differentiation comes in getting data protection right, as part of an overall data strategy. Keep reading to learn how investing in the right data protection supports and optimizes your brand image. A lot of organizations aren’t as mature in this area of data ethics.

Risk Management 60

Risk Management Risk Strategy Data Strategy 60

CIO Business Intelligence

APRIL 29, 2022

Launching a data-first transformation means more than simply putting new hardware, software, and services into operation. True transformation can emerge only when an organization learns how to optimally acquire and act on data and use that data to architect new processes.

Digital Transformation 132

Digital Transformation Strategy Data-driven Data Strategy 132

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

CIO Business Intelligence

MAY 20, 2024

Data privacy, compliance, and risk management Similarly, CIOs foresee themselves becoming more deeply involved in three areas closely related to cybersecurity: data privacy, compliance, and risk management. Risk management came in at No. Foundry / CIO.com 3. For Rev.io

IT 142

IT Risk Management Machine Learning Risk 142

Cloudera

JUNE 29, 2023

To improve the way they model and manage risk, institutions must modernize their data management and data governance practices. Up your liquidity risk management game Historically, technological limitations made it difficult for financial institutions to accurately forecast and manage liquidity risk.

Data Architecture 85

Data Architecture Risk Management Risk Management 85

CIO Business Intelligence

MAY 30, 2023

Other top 10 initiatives seeing increased CIO involvement include the related areas of data privacy and compliance (at No. 3, with 55% of responding IT leaders listing this area) and risk management (at No. 9, with 47% involved in such). It’s a shift in emphasis that makes all the difference.

IT 131

IT Risk Optimization Technology 131

Cloudera

JULY 29, 2022

Telecom operators can gain a competitive advantage by leveraging the massive volume of data generated on their networks. They can outperform competitors by applying machine learning and artificial intelligence to understand and optimize the customer experience while aiding service assurance.

Data Architecture 89

Data Architecture Data Strategy Risk Management Strategy 89

IBM Big Data Hub

MARCH 26, 2024

A company cannot report on scope 3 category 7 of employee commute without employee data from HR or facilities management data, or without the technology platform and data governance to have an auditable view of that data.

Measurement 61

Measurement Metrics Strategy Reporting 61

Corinium

APRIL 25, 2019

Most enterprises in the 21st century regard data as an incredibly valuable asset – Insurance is no exception - to know your customers better, know your market better, operate more efficiently and other business benefits. Ideally the decision of how to protect data should be treated like any other data governance policy.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

IBM Big Data Hub

MAY 14, 2024

Consider safety, inclusivity, trustworthiness, and governance from the beginning rather than as considerations to be tacked on to the end. But do not allow the caution and critical perspective of your inner social change agent to extinguish the optimism of your inner technologist.

Risk 84

Risk Risk Management Measurement Strategy 84

Alation

FEBRUARY 8, 2022

Making the experts responsible for service streamlines the data-request pipeline, delivering higher quality data into the hands of those who need it more rapidly. Some argue that data governance and quality practices may vary between domains. Interoperable and governed by global standards. ” 1.

Data Governance 52

Data Governance Data-driven Metadata Enterprise 52

CIO Business Intelligence

MARCH 25, 2022

Policy makers around the world have been recognizing this heightened risk, which has been further amplified by the recent geopolitical tensions. The European Union (EU) has pulled together a proposal for a unified framework to regulate risk management for financial institutions. About Ilias Chantzos : Broadcom Software.

Finance 98

Finance KPI Risk IoT 98

Grooper

OCTOBER 23, 2019

And sometimes with an almost fiendish desire for optimization. By paying close attention to changing business environments, they’re quick to implement changes to the infrastructure required for data-driven results. What you’re shooting for is enterprise-wide information governance. And they simply execute better.

Metrics 59

Metrics Measurement Strategy Optimization 59

datapine

FEBRUARY 22, 2022

Improved risk management: Another great benefit from implementing a strategy for BI is risk management. We love that data is moving permanently into the C-Suite. For this purpose, you can think about a data governance strategy. Pursue a phased approach. Think “actionable” and take baby steps.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

AWS Big Data

AUGUST 14, 2023

In the same way, overly restrictive data governance practices that either prevent data products from taking root at all, or pare them back too aggressively (deforestation), can over time create “data deserts” that drive both the producers and consumers of data within an organization to look elsewhere for their data needs.

Management 80

Management Risk Measurement Optimization 80

Laminar Security

MAY 3, 2023

They define DSPM technologies this way: “DSPM technologies can discover unknown data and categorize structured and unstructured data across cloud service platforms. This accessibility of data is vital to business growth, but has also resulted in a significant increase in risk.

Management 52

Management Risk Risk Management Data Processing 52

Andrew White

JANUARY 11, 2021

What are you seeing as the differences between a Chief Analytics Officer and the Chief Data Officer? Governance. Value Management or monetization. Risk Management (most likely within context of governance). Product Management. See The Future of Data and Analytics: Reengineering the Decision, 2025.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52