CIO Business Intelligence

JUNE 21, 2022

Governance should be designed with adaptability in mind to ensure IT remains in alignment with business objectives, continually providing value while effectively safeguarding the organization against potential risks, Bales says. CIOs frequently launch strategic initiatives without fully considering all the risks involved.

IT 113

IT Risk Measurement Risk Management 113

CIO Business Intelligence

JUNE 12, 2023

In 2012, COBIT 5 was released and in 2013, the ISACA released an add-on to COBIT 5, which included more information for businesses regarding risk management and information governance. It’s also designed to give senior management more insight into how technology can align with organizational goals.

Risk Management 74

Risk Management Strategy Digital Transformation Enterprise 74

erwin

JULY 12, 2019

The complexity of regulatory requirements in and of themselves is aggravated by the complexity of the business and data landscapes within most enterprises. We help customers overcome their data governance challenges, with risk management and regulatory compliance being primary concerns. How erwin Can Help.

Data Governance 110

Data Governance Management Metadata Risk Management 110

CIO Business Intelligence

JULY 14, 2022

Cyber security attacks are an inevitability that all businesses should now be prepared for. Rather than simply investing in technology, and hoping for the best, however, IT leaders need to be strategic and undertake risk management that best suits their business profile. Understanding where the threats lie.

Digital Transformation 98

Digital Transformation IoT Business Objectives Risk Management 98

CIO Business Intelligence

MAY 11, 2022

Chief Audit Executive (CAE) – To optimize risk management, the CAE and the BCM function should work in unison to leverage technology for assessing and mitigating risk. BCM, enterprise risk management and internal audit must work together and apply uniform principles to their respective areas of responsibility.

Management 92

Management Testing Insurance Finance 92

IBM Big Data Hub

DECEMBER 14, 2023

Our approach to cyber resiliency Risk assessment and strategy : IBM emphasizes the importance of conducting a thorough risk assessment to identify vulnerabilities and potential threats. Prevention and protection : Preventing cyber threats before they can cause damage is a fundamental aspect of cyber resiliency.

Risk 83

Risk Measurement Business Objectives Optimization 83

IBM Big Data Hub

JULY 27, 2023

EAM systems can provide around-the-clock visibility into inventory levels, allowing businesses to track part usage, automate reordering processes, prevent stockouts and overstocking, reduce carrying costs and ultimately ensure that parts are available when teams need them. It can also significantly increase uptime and lifespan.

Cost-Benefit 58

Cost-Benefit IoT Internet of Things Enterprise 58

DataRobot Blog

MAY 26, 2022

What are some steps that the modeler/validator must take to evaluate the model and ensure that it is a strong fit for its design objectives? Evaluating ML models for their conceptual soundness requires the validator to assess the quality of the model design and ensure it is fit for its business objective. Conclusion.

Risk 52

Risk Modeling Metrics Business Objectives 52

CDW Research Hub

JUNE 10, 2021

The right choice for your organization is the one that aligns with your business objectives to help you make security decisions in a fast-paced industry. Advancing your security program and optimizing your overall IT risk management strategy helps to protect your data, your intellectual property, and your brand.

Enterprise 52

Enterprise Consulting Risk Business Objectives 52

Alation

MARCH 14, 2023

Gartner describes it as ‘ a highly dynamic process employed to support the acquisition, organisation, analysis, and delivery of data in support of business objectives ’. A well-executed data strategy ensures best practice in data management – and is therefore key for defence partners in meeting the outcomes and rules set out here.

Data Strategy 52

Data Strategy Strategy Metadata Data Quality 52

Ontotext

SEPTEMBER 1, 2023

To avoid this, enterprises should consider: A comprehensive data strategy: to align data and AI initiatives with business objectives. Leaders need to balance the adoption of generative AI with the risks involved, but it is a true joint effort.

Risk 52

Risk Modeling Data Quality Data Governance 52

John Wheeler

SEPTEMBER 15, 2020

Those businesses that employ a “PRACtical” approach utilizing integrated risk management (IRM) will be in the best position to recover quicker and more successfully. A “PRACtical” Approach Provides a Balanced View of Risk. So, what is a “PRACtical” approach? IRM Technology Improves ERM.

Risk Management 52

Risk Management Risk Management Business Objectives 52

datapine

MARCH 31, 2022

S/He is responsible for providing cost-effective solutions to achieve business objectives, comparing operational progress against project development while assisting in planning budgets, forecasts, timelines, and developing reports on performance metrics. BI Data Scientist.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

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.

Data Architecture 87

Data Architecture Data Strategy Risk Management Strategy 87

CIO Business Intelligence

JUNE 8, 2023

The technology initiatives that are expected to drive the most IT investment in 2023 security/risk management, data/business analytics, cloud-migration, application/legacy systems modernization, machine learning/AI, and customer experience technologies.

Strategy 86

Strategy Data-driven Digital Transformation Interactive 86

Cloudera

NOVEMBER 25, 2021

Protect: security needs including risk management, fraud detection and cybersecurity initiatives through risk modelling and analysis, regulatory compliance, and financial crime prevention. . So, what are the common user cases we are seeing for enterprise data clouds?

Machine Learning 89

Machine Learning IoT Risk Digital Transformation 89

CIO Business Intelligence

OCTOBER 2, 2023

Before long she had cultivated relationships with other key stakeholders, learned their concerns, and discussed how IT could help them achieve their business objectives. Instead of producing one report a year, we were able to achieve continuous compliance, without having to throw out any of their risk management frameworks,” he says.

Digital Transformation 143

Digital Transformation Manufacturing Software Management 143

Smart Data Collective

AUGUST 14, 2022

How Does DLP Help Your Business? Data loss protection comprises three significant business objectives – personal information protection, intellectual property protection, and comprehensive data usage reports. Having any of those boosts your data security.

Risk 120

Risk Cost-Benefit Software Reporting 120

erwin

JULY 8, 2020

You are able to do it in an easy format that you can catalog, do mappings, lineage and focus on tying business and IT together to make more informed decisions. Business process modeling is also critical for risk management and regulatory compliance. BPM for Regulatory Compliance.

Slice and Dice 136

Slice and Dice Modeling Digital Transformation Visualization 136

Cloudera

JANUARY 22, 2019

An organization needs a unified data management and analytics platform that can support its business objectives. Source: Cloudera. High-value Analytics. Enterprises seek high-value, agile analytics. Enterprises are looking for greater agility to detect change and respond proactively.

Big Data 44

Big Data Data Lake Internet of Things Enterprise 44

datapine

FEBRUARY 22, 2022

Improved risk management: Another great benefit from implementing a strategy for BI is risk management. KPIs are measurable values that show how effectively a company is achieving its business objectives. KPIs indicate areas businesses are on the right track and where improvements are needed.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Alation

NOVEMBER 23, 2021

End up spinning out big-bang projects that too often spiral out of control and fail to deliver on business objectives. They can improve data quality, security and risk management without the need for an expensive big-bang project. All they need to do is to put structure around what they are already doing.

Data Governance 52

Data Governance Data-driven Data Processing Consulting 52