CIO Business Intelligence

SEPTEMBER 20, 2023

You’ve failed to build trust and communicate the vision Tina Behers, vice president of enterprise agility at Aligned Agility, shared two key prerequisites organizations need to execute digital transformation initiatives with agile methodologies. “If They are afraid of failure and the uncertainty of knowledge work, and so that’s stressful.

Digital Transformation 135

Digital Transformation Uncertainty Metrics Business Objectives 135

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

When astute executives, including CIOs, cheat disruption by focusing on business continuity management (BCM) programs that build resilience, the enterprise transformation can prosper. CIOs should apply a business lens that informs how the business could be impacted (operationally, financially, legally, etc.)

Management 98

Management Testing Insurance Finance 98

Ontotext

SEPTEMBER 1, 2023

Enterprises worldwide are analyzing Generative AI capabilities and seeking ways to leverage them for a variety of use cases to improve their competitive edge and incorporate automation and efficiency. To avoid this, enterprises should consider: A comprehensive data strategy: to align data and AI initiatives with business objectives.

Risk 52

Risk Modeling Data Quality Data Governance 52

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

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. Your Chance: Want to start your business intelligence journey today?

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Cloudera

JULY 29, 2022

Similarly, data should be treated as a corporate asset with a dedicated long-term strategy that lets the organization store, manage, and utilize its data effectively. Most importantly, it helps organizations control costs and reduce risks, enforcing consistent security and governance across all enterprise data assets.”.

Data Architecture 83

Data Architecture Data Strategy Risk Management Strategy 83

CIO Business Intelligence

JUNE 8, 2023

He focuses on the strategic insights into how businesses would operate in the future. 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 98

Strategy Data-driven Interactive Digital Transformation 98

Cloudera

NOVEMBER 25, 2021

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

Machine Learning 86

Machine Learning IoT Risk Digital Transformation 86

erwin

JULY 8, 2020

Developing a shared repository is key to aligning IT systems to accomplish business strategies, reducing the time it takes to make decisions and accelerating solution delivery. 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.

Slice and Dice 136

Slice and Dice Modeling Digital Transformation Visualization 136

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. Enterprises can store Intellectual Property data in unstructured or structured forms.

Risk 123

Risk Cost-Benefit Software Reporting 123

Cloudera

JANUARY 22, 2019

In conjunction with the evolving data ecosystem are demands by business for reliable, trustworthy, up-to-date data to enable real-time actionable insights. Big Data Fabric has emerged in response to modern data ecosystem challenges facing today’s enterprises. Cloudera Enterprise Platform as Big Data Fabric. Source: Cloudera.

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