CIO Business Intelligence

SEPTEMBER 20, 2023

Business leaders expect IT to develop new products, improve customer experiences, automate workflows, and deliver new artificial intelligence capabilities. But speaking to many IT leaders, there are often gaps between how IT runs Scrum, Kanban, or other agile practices and what CIOs need in order to achieve digital transformation objectives.

Digital Transformation 119

Digital Transformation Uncertainty Metrics Business Objectives 119

CDW Research Hub

MAY 24, 2021

To support these plans, components such as prevention and detection mechanisms, access management, incident response, privacy and compliance, risk management, audit and monitoring, and business continuity planning are all necessary to a successful security program. Develop a security risk management program.

Risk Management 52

Risk Management Risk Unstructured Data Business Objectives 52

John Wheeler

JUNE 29, 2018

The same can occur for integrated risk management (IRM) technology customers. Top IRM technology solutions deliver two success factors – balance and alignment – to customers seeking to add value to the business. Vendor Risk Management. Business Continuity Management.

Risk Management 49

Risk Management Risk Business Objectives Technology 49

IBM Big Data Hub

DECEMBER 13, 2023

A procurement strategy is a structured plan that an organization develops to guide its purchasing process in a way that aligns with its business needs. This enables an effective and adaptive approach to sourcing that creates value and minimizes risk. What is a procurement strategy?

Strategy 67

Strategy Cost-Benefit Key Performance Indicator Consulting 67

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 86

Data Architecture Data Strategy Risk Management Strategy 86

erwin

JULY 12, 2019

In light of recent, high-profile data breaches, it’s past-time we re-examined strategic data governance and its role in managing regulatory requirements. The complexity of regulatory requirements in and of themselves is aggravated by the complexity of the business and data landscapes within most enterprises. How erwin Can Help.

Data Governance 110

Data Governance Management Metadata Risk Management 110

FineReport

APRIL 9, 2024

Impact of Data Visualization Data visualization has become a cornerstone trend in modern business intelligence, offering users an intuitive means to comprehend complex datasets through interactive visual representations. When comparing leading BI tools, it is crucial to assess these aspects thoroughly.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

CIO Business Intelligence

JULY 14, 2022

Over 80 per cent of businesses have had their security budgets increase in the past year, according to research by Accenture , and IT security budgets are now as much as 15 per cent of all IT spending. Cyber security attacks are an inevitability that all businesses should now be prepared for. Understanding where the threats lie.

Digital Transformation 94

Digital Transformation IoT Business Objectives Risk Management 94

CIO Business Intelligence

JUNE 12, 2023

COBIT is an IT management framework developed by the ISACA to help businesses develop, organize, and implement strategies around information management and IT governance. Later, in the 2000s, the ISACA developed version 3, which brought in the IT management and information governance techniques found in the framework today.

Risk Management 65

Risk Management Strategy Digital Transformation Enterprise 65

datapine

FEBRUARY 22, 2022

In response to this increasing need for data analytics, business intelligence software has flooded the market. Whether you are starting from scratch, moving past spreadsheets, or looking to migrate to a new platform: you need a business intelligence strategy and roadmap in place. Unfortunately, this approach could be disastrous.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

CIO Business Intelligence

OCTOBER 2, 2023

You’ll need to persuade employees and middle management to leave their comfort zones and change how they operate. This kind of wizardry requires tactics not typically found in business management guides (though you might find a few in the Book of Spells or the Necronomicon ). Her magic trick: Hand out Kinder Surprises.

Digital Transformation 139

Digital Transformation Manufacturing Software Management 139

erwin

JULY 8, 2020

There’s a clear connection between business process modeling and digital transformation initiatives. With it, an organization can explore models to understand information assets within a business context, from internal operations to full customer experiences. Bringing IT and Business Together to Make More Informed Decisions.

Slice and Dice 136

Slice and Dice Modeling Digital Transformation Visualization 136

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 74

Strategy Data-driven Interactive Digital Transformation 74

IBM Big Data Hub

DECEMBER 14, 2023

IBM FlashSystem® has bolstered existing tasks like error detection and immutable copies with greater functionality, including error code detection, immutability sections and centralized landscape management. Cyber resiliency goes beyond mere cybersecurity measures. IBM emphasizes the importance of continuous monitoring and learning.

Risk 80

Risk Measurement Business Objectives Optimization 80

CIO Business Intelligence

MAY 11, 2022

CIOs must also account for the criticality and timing of each business process, from front-office processes such as sales and customer service to back-office processes such as operations, human resources and finance. Champion core business requirements. The CIO’s customer is the business itself.

Management 81

Management Testing Insurance Finance 81

IBM Big Data Hub

JULY 27, 2023

To navigate these challenges, industry players are turning to enterprise asset management (EAM) solutions. EAM is an invaluable tool that allows oil and gas companies to manage physical assets and infrastructure throughout their lifecycles—from design and procurement to maintenance and disposal.

Cost-Benefit 56

Cost-Benefit IoT Internet of Things Enterprise 56

DataRobot Blog

MAY 26, 2022

If we have already built out a model for a business application, how do we ensure that it is working to our expectations? 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? Validating Machine Learning Models.

Risk 52

Risk Modeling Metrics Business Objectives 52

Cloudera

NOVEMBER 25, 2021

We are delivering this by making it easy for customers to get started, use integrations, manage billing, expand their businesses and advance their digital disruption journey. Connect: connecting multiple data sources to deliver a more complete understanding of a business and its customer and partner relationships.

Machine Learning 89

Machine Learning IoT Risk ROI 89

Alation

MARCH 14, 2023

A data strategy is a long-term plan setting out the technologies, processes, people, and rules that manage data. Gartner describes it as ‘ a highly dynamic process employed to support the acquisition, organisation, analysis, and delivery of data in support of business objectives ’. Why is a data strategy important?

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. This should include up-skilling programs and talent management strategies to foster a culture of continuous learning about changing data and architecture patterns.

Risk 52

Risk Modeling Data Quality Data Governance 52

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. Different Approaches to DLP for Businesses. Having any of those boosts your data security.

Risk 123

Risk Cost-Benefit Software Reporting 123

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

datapine

MARCH 31, 2022

Do you find computer science and its applications within the business world more than interesting? If you answered yes to any of these questions, you may want to consider a career in business intelligence (BI).In Why Shift To A Business Intelligence Career? Image source: datacareer.ch**. Not bad, huh?

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

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. Emphasize compliance at the expense of access, thereby alienating would-be data consumers.

Data Governance 52

Data Governance Data-driven Data Processing Consulting 52

Cloudera

JANUARY 22, 2019

Data management and intelligence. It enables processing, management, analysis, and storage of virtually any amount of data from a multitude of sources, as well as access to these data by applications and tools employing a variety of interfaces. Data processing and persistence. Data orchestration. Data discovery. Data access.

Big Data 44

Big Data Data Lake Internet of Things Enterprise 44