CIO Business Intelligence

OCTOBER 23, 2023

In today’s uncertain economic landscape, it is no surprise that organizations are driven to optimize business costs. All of these present challenges for IT professionals within their day-to-day activities in data centers. It’s a win-win scenario when moving to an as-a-service model. Actual Results will vary. Full report.

Cost-Benefit 102

Cost-Benefit Uncertainty Digital Transformation Technology 102

IBM Big Data Hub

JANUARY 9, 2024

We’ve found in this new IBM-sponsored IDC white paper that the shift to delivering IT-as-a-service is foundational and extends the strategic transformation of IT infrastructure, adding even more value to the business. This is what the “fit-for-purpose” model of XaaS is out to achieve.

Digital Transformation 74

Digital Transformation Business Driver Optimization Strategy 74

DataRobot

OCTOBER 22, 2021

Procurement misuse, abuse, and inefficiency continues to be a challenge for state governments, driven by large transaction volumes, pressure to reduce costs, and staffing challenges. Here’s how AI can help: AI systems can ingest data to learn patterns of suspicious or anomalous activity. WHITE PAPER. Download Now.

Risk 98

Risk Risk Management Data-driven Management 98

DataRobot

OCTOBER 19, 2021

On average, DataRobot forecasts had a 21 percent lower rate of error than all other published competing models over a six to eight week period. At the time, much of the available data was limited and inaccurate as a result of forecasting based on traditional—and outdated— epidemiological modeling. White Paper.

Forecasting 98

Forecasting Predictive Modeling Optimization Testing 98

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. for alleged violations of the European Union’s General Data Protection Regulation (GDPR). Complexity. Five Steps to GDPR/CCPA Compliance. Govern PII “at rest”.

Data Governance 110

Data Governance Management Metadata Risk Management 110

Alation

JUNE 9, 2023

We were thrilled to attend Gartner Data and Analytics Summit 2023 , on May 22–24 in London. D&A leaders from around the world gathered to discuss and find ways to overcome the latest challenges through strategies and innovations backed by data, analytics, and data science. How can leaders respond?

Data Analytics 52

Data Analytics Analytics Data Quality Data-driven 52

Decision Management Solutions

JANUARY 25, 2021

Within this highly practical and innovative framework, subject matter experts engage directly in building decision models that help drive increased user engagement and enable data-driven decisions. You can learn more about our DecisionsFirst approach by reading some of our white papers or watching videos on our YouTube Channel.

Insurance 52

Insurance Finance Machine Learning Data-driven 52

IBM Big Data Hub

JUNE 13, 2022

The adoption of AI is driven by its utility and the improvements in efficiency it creates. ” Examples of RegTech include chatbots that can advise on regulatory questions, cloud-based platforms for regulatory and compliance data management, and computer code that enables more automated processing of data relating to regulations [9]. .”

Risk 98

Risk Risk Management Data-driven Metrics 98

DataRobot

OCTOBER 20, 2021

Data literacy is a key component for any organization to be able to scale responsible and trusted artificial intelligence technology. Achieving that level of governance at scale requires a common understanding of AI and data concepts. What Is Data Literacy? How Can Organizations Cultivate Data Literacy?

Machine Learning 52

Machine Learning Metrics Risk Deep Learning 52

Decision Management Solutions

JUNE 21, 2021

Step away from the data! Before you make another move and to make sure you’re on the right track, don’t make the mistake of starting with the data. You must put decisions, not data, first, to succeed with ML. Build a blueprint. To complete the picture, you need to add another key ingredient: business rules.

Machine Learning 52

Machine Learning Data-driven Modeling Software 52

Decision Management Solutions

JUNE 30, 2021

Step away from the data! Before you make another move and to make sure you’re on the right track, don’t make the mistake of starting with the data. You must put decisions, not data, first, to succeed with ML. Build a blueprint. To complete the picture, you need to add another key ingredient: business rules.

Machine Learning 52

Machine Learning Data-driven Modeling Software 52

erwin

NOVEMBER 21, 2019

In the era of data-driven business, such perspective is critical. White Paper – Data-Driven Business Transformation: Using data as a strategic asset and transformational tool to succeed in the digital age. IT has graduated from a support department to a proactive, value-driving function.

Enterprise 77

Enterprise Data-driven Data Governance Digital Transformation 77

Alation

MARCH 29, 2022

Today, the term describes that same activity, but on a much larger scale, as organizations race to collect, analyze, and act on data first. But there have always been limits on who can access valuable data, as well as how it can be used. In the 1970s, data was confined to mainframes and primitive databases.

Business Intelligence 96

Business Intelligence Reporting Data mining Digital Transformation 96

Decision Management Solutions

JUNE 24, 2021

If you’re not sure about the difference, these examples show AI models that are trustworthy but questionable in terms of ethics: • Predictive policing: These AI systems predict where more police staff need to be assigned to increase police presence in areas where more serious crimes tend to occur. .

Machine Learning 52

Machine Learning Testing Data-driven Modeling 52

Sisense

JUNE 24, 2021

The proliferation of information, data, technology, and digital platforms means that the ability to leverage learning and education solutions has evolved dramatically in recent years. A recent study by Learning Pool revealed 76% of mature metrics practices are enabled by technology that integrates data from multiple sources.

Analytics 83

Analytics Measurement Dashboards Optimization 83

Cloudera

MAY 15, 2018

Over the past decade, we have observed open source powered big data and analytics platforms evolve from large data storage containers to massively scalable advanced modeling platforms that seamlessly operate on-premises and in a multi-cloud environment.

Machine Learning 42

Machine Learning Recreation/Entertainment Finance Big Data 42

Jet Global

DECEMBER 7, 2020

Incomplete or lagging tax data can create headaches and slowdowns for corporate tax teams. This incomplete data affects tax forecasting and other aspects of financial planning, and it limits the tax department’s ability to offer insights that inform strategic decision-making at the executive level. Using Tax Data to Mitigate Risk.

Risk 72

Risk Forecasting Software Data-driven 72

Jet Global

DECEMBER 10, 2019

The protection and use of all data, and particularly financial data keeps financial leaders awake at night. Choosing how to use data, and how to adopt technology so that you can use it to make data-driven decisions, is at the forefront of staying relevant as a company, and as a leader within the organization.

Technology 64

Technology Finance Reporting Marketing 64

Jet Global

JUNE 22, 2023

Blogs Podcasts Whitepapers and Guides Tools and Calculators Webinars Sample Reports The Evolution of the CFO into the Chief Data Storyteller View Insight Now Our Favorite CFO Blogs The Venture CFO Blog Link: [link] Are you looking for blog posts for CFOs by CFOs? This blog post by Sage provides a white paper, “A guide to CFO 3.0

KPI 105

KPI Finance Dashboards Digital Transformation 105

Alation

MARCH 31, 2022

In the breakneck world of data, which I have been privy to since the mid 1990s, business intelligence remains one of the most enduring terms. BI has long been plagued by an audience divided, the data haves and have nots. Modern BI began when “data” became what we consider it to be today. The Rise of the Data Warehouse.

Business Intelligence 52

Business Intelligence Data-driven Data Warehouse Reporting 52

Ontotext

JANUARY 10, 2020

New technologies and new means of processing and analyzing data accelerate the circulation of information about capital markets and business opportunities and reconfigure the way markets work. The identification process was based on the historical data of investment events contained in a knowledge graph with over 8 million companies and 1.5

Data mining 59

Data mining Machine Learning Data-driven Marketing 59

DataKitchen

DECEMBER 7, 2021

Back by popular demand, we’ve updated our data nerd Gift Giving Guide to cap off 2021. We’ve kept some classics and added some new titles that are sure to put a smile on your data nerd’s face. Fail Fast, Learn Faster: Lessons in Data-Driven Leadership in an Age of Disruption, Big Data, and AI, by Randy Bean.

Data-driven 246

Data-driven Data Governance Big Data Data Science 246

Cloudera

AUGUST 21, 2021

The same study also stated that having stronger online data security, being able to conduct more banking transactions online and having more real-time problem resolution were the top priorities of consumers. . Financial institutions need a data management platform that can keep pace with their digital transformation efforts.

Data-driven 99

Data-driven Digital Transformation Risk Risk Management 99

datapine

OCTOBER 21, 2020

Big data has changed the way we manage, analyze, and leverage data across industries. One of the most notable areas where data analytics is making big changes is healthcare. In this article, we’re going to address the need for big data in healthcare and hospital big data: why and how can it help?

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

CIO Business Intelligence

NOVEMBER 4, 2022

Rigid requirements to ensure the accuracy of data and veracity of scientific formulas as well as machine learning algorithms and data tools are common in modern laboratories. When Bob McCowan was promoted to CIO at Regeneron Pharmaceuticals in 2018, he had previously run the data center infrastructure for the $81.5

Data Lake 120

Data Lake IT Experimentation Data-driven 120

erwin

JUNE 27, 2019

The need for an effective data modeling tool is more significant than ever. For decades, data modeling has provided the optimal way to design and deploy new relational databases with high-quality data sources and support application development. Evaluating a Data Modeling Tool – Key Features.

Measurement 81

Measurement Modeling Unstructured Data Metadata 81

CIO Business Intelligence

SEPTEMBER 2, 2022

Tim Scannell: Data is a major focus of most IT organizations today — collecting it from a variety of sources, transforming it into business intelligence, getting it into the hands of the right people within the organization. How extensive is your data-driven strategy today? Khare: Yes, they do.

Uncertainty 98

Uncertainty Manufacturing Data-driven Business Intelligence 98

CIO Business Intelligence

SEPTEMBER 2, 2022

Tim Scannell: Data is a major focus of most IT organizations today — collecting it from a variety of sources, transforming it into business intelligence, getting it into the hands of the right people within the organization. How extensive is your data-driven strategy today? Khare: Yes, they do.

Uncertainty 98

Uncertainty Manufacturing Data-driven Business Intelligence 98

Decision Management Solutions

JUNE 18, 2020

Our experience is that this means modeling decisions. It means working directly with those who know how to make a decision to model it. Identifying in that model the pieces driven by regulation and policy so they can be automated with business rules.

Machine Learning 75

Machine Learning Predictive Analytics Data-driven Modeling 75

erwin

DECEMBER 6, 2019

In the data-driven era, CIO’s need a solid understanding of data governance 2.0 … Data governance (DG) is no longer about just compliance or relegated to the confines of IT. Today, data governance needs to be a ubiquitous part of your organization’s culture. Creating a Culture of Data Governance.

Data Governance 145

Data Governance Metadata Enterprise Data-driven 145

CIO Business Intelligence

MARCH 22, 2022

Most organizations have come to understand the importance of being data-driven. To compete in a digital economy, it’s essential to base decisions and actions on accurate data, both real-time and historical. But the sheer volume of the world’s data is expected to nearly triple between 2020 and 2025 to a whopping 180 zettabytes.

Analytics 110

Analytics Key Performance Indicator Data Warehouse Data-driven 110

erwin

OCTOBER 4, 2021

Metadata management is essential to becoming a data-driven organization and reaping the competitive advantage your organization’s data offers. Gartner refers to metadata as data that is used to enhance the usability, comprehension, utility or functionality of any other data point. How the data has changed.

Metadata 52

Metadata Software Management Visualization 52

Andrew White

MARCH 6, 2021

First it is hard to collect such data. Second such data might be hard to understand and compare across countries and regions. You can model the changing dynamics of the demand for your markets; you can model inflation and interest rates over the same time frame. January’s jobs data was revised upwards too.

Marketing 52

Marketing Forecasting Uncertainty Strategy 52

Andrew White

MARCH 9, 2020

Diane Coyle‘a new paper, The Value of Data , is most interesting. The paper’s findings and recommendations seem somewhat consistent, and are focused on public policy implications for private markets, as is the recent EU Data Strategy white paper. Coyle’s and the EU Data Strategy. Timeliness.

Cost-Benefit 52

Cost-Benefit Data Strategy Strategy Marketing 52

Alation

JANUARY 13, 2022

And now, arguably the greatest rivalry the world (well, at least the data community) has ever witnessed: Data Fabric vs Data Mesh! Data fabric and data mesh are both having a moment. Gartner calls data fabric the Future of Data Management 1. Gartner on Data Fabric. Thoughtworks on Data Mesh.

Data Lake 59

Data Lake Metadata Data-driven Data Governance 59

Jet Global

NOVEMBER 23, 2020

In this model, your monthly income is split into the following categories: 50 percent for needs, 30 percent for wants, 20 percent for debts and savings. Done are the days of looking at past performance; you now have automated tools that help you analyze current data to make informed decisions. CFO 3.0 – The visionary.

KPI 52

KPI Finance Dashboards Data Processing 52

Alation

JANUARY 25, 2022

Data fabric is now on the minds of most data management leaders. In our previous blog, Data Mesh vs. Data Fabric: A Love Story , we defined data fabric and outlined its uses and motivations. The data catalog is a foundational layer of the data fabric.

Metadata 52

Metadata IT Metrics Data-driven 52