CIO Business Intelligence

APRIL 29, 2022

Software development, once solely the domain of human programmers, is now increasingly the by-product of data being carefully selected, ingested, and analysed by machine learning (ML) systems in a recurrent cycle. Further, data management activities don’t end once the AI model has been developed. era is upon us.

Data Governance 145

Data Governance IT Risk Data Lake 145

Alation

JANUARY 26, 2023

That’s why many organizations invest in technology to improve data processes, such as a machine learning data pipeline. However, data needs to be easily accessible, usable, and secure to be useful — yet the opposite is too often the case. How can data engineers address these challenges directly?

Data Governance 52

Data Governance Strategy Data Quality Marketing 52

David Menninger's Analyst Perspectives

JANUARY 14, 2021

But unlocking value from data requires multiple analytics workloads, data science tools and machine learning algorithms to run against the same diverse data sets. In our ongoing benchmark research project , we are researching the ways in which organizations work with big data and the challenges they face.

Machine Learning 227

Machine Learning Data Governance Big Data Data Science 227

CIO Business Intelligence

APRIL 26, 2024

billion acquisition of data and analytics company Neustar in 2021, TransUnion has expanded into other services such as marketing, fraud detection and prevention, and robust analytical services. The multilayered data platform will enable TransUnion’s customers to perform deep analytics and build complex AI models. But following its $3.1

Modeling 114

Modeling IT Machine Learning Data Governance 114

DataKitchen

FEBRUARY 18, 2022

Data is unique in many respects, such as data quality, which is key in a data monetization strategy. Data governance is necessary in the enforcement of Data Privacy. Automation and orchestration in an interoperable hybrid cloud distributed data landscape is where DataOps excels.

Data Quality 130

Data Quality Machine Learning Business Intelligence Data Governance 130

O'Reilly on Data

FEBRUARY 11, 2019

Highlights and use cases from companies that are building the technologies needed to sustain their use of analytics and machine learning. In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions. Deep Learning.

Big Data 209

Big Data Technology Machine Learning Deep Learning 209

O'Reilly on Data

JANUARY 29, 2019

In 2017, we published “ How Companies Are Putting AI to Work Through Deep Learning ,” a report based on a survey we ran aiming to help leaders better understand how organizations are applying AI through deep learning. We found companies were planning to use deep learning over the next 12-18 months.

Deep Learning 208

Deep Learning Machine Learning Data Science Metadata 208

CIO Business Intelligence

MARCH 27, 2024

“Le azioni successive per il miglioramento della data quality possono essere sia di processo che applicative e includono la definizione di un modello organizzativo intorno alla data governance , assegnando ruoli e compiti chiari alle varie figure coinvolte (data scientist, data engineering, data owner, data steward, eccetera)”.

Data Governance 52

Data Governance Data Lake Data Strategy Data-driven 52

David Menninger's Analyst Perspectives

JULY 7, 2022

Organizations are continuously increasing the use of analytics and business intelligence to turn data into meaningful and actionable insights.

Analytics 291

Analytics Business Intelligence Marketing Management 291

CIO Business Intelligence

MAY 13, 2024

IBM is betting big on its toolkit for monitoring generative AI and machine learning models, dubbed watsonx.governance , to take on rivals and position the offering as a top AI governance product, according to a senior executive at IBM. watsonx.governance is a toolkit for governing generative AI and machine learning models.

Risk 121

Risk Machine Learning Modeling Enterprise 121

David Menninger's Analyst Perspectives

SEPTEMBER 22, 2022

Organizations are collecting data from multiple data sources and a variety of systems to enrich their analytics and business intelligence (BI). But collecting data is only half of the equation. As the data grows, it becomes challenging to find the right data at the right time.

Data Lake 273

Data Lake Business Intelligence Analytics IT 273

David Menninger's Analyst Perspectives

MAY 5, 2021

Machine learning is valuable for organizations, but it can be hard to deploy. Our Machine Learning Dynamic Insights research identifies that not having enough skilled resources and difficulty building and maintaining ML systems are pressing challenges organizations face in applying ML.

Machine Learning 226

Machine Learning Data Science Modeling Management 226

CIO Business Intelligence

MAY 3, 2022

Last year, Dow took a bold step to make better use of its data. With a goal of eliminating isolated islands of data and making better use of business intelligence as an enterprise asset, the company launched an internal organization that seamlessly integrated IT and the company’s global business units under one umbrella.

Data Quality 96

Data Quality Machine Learning Business Objectives Business Intelligence 96

CIO Business Intelligence

DECEMBER 19, 2023

This year’s technology darling and other machine learning investments have already impacted digital transformation strategies in 2023 , and boards will expect CIOs to update their AI transformation strategies frequently. Luckily, many are expanding budgets to do so. “94%

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

David Menninger's Analyst Perspectives

NOVEMBER 24, 2021

DataOps is enabling organizations to be more agile in their data processes. As organizations are embracing artificial intelligence (AI) and machine learning (ML), they are recognizing the need to adopt MLOps. The same desire for agility suggests that organizations need to adopt AnalyticOps.

Analytics 300

Analytics Machine Learning Data Processing Technology 300

David Menninger's Analyst Perspectives

OCTOBER 5, 2020

Ventana Research has been evaluating analytics and business intelligence (BI) software for a long time—almost 20 years. Our methodology for these assessments is referred to as a Value Index. We use weightings derived from our benchmark research about how you, as buyers of these technologies, value and evaluate vendors.

Software 284

Software Analytics Business Intelligence Technology 284

Peter James Thomas

AUGUST 4, 2020

As usual, the new definitions range across the data arena: from Data Science and Machine Learning; to Information and Reporting; to Data Governance and Controls. Boosting [Machine Learning]. Conformed Data (Conformed Dimension). Data Capability. Data Driven. Data Maturity.

Data Analytics 98

Data Analytics Analytics Machine Learning Data Governance 98

David Menninger's Analyst Perspectives

JUNE 4, 2021

We are happy to share some insights about Information Builders’ WebFOCUS Business Intelligence and Analytics Platform drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.

Business Intelligence 225

Business Intelligence Analytics Data Governance Machine Learning 225

David Menninger's Analyst Perspectives

APRIL 14, 2021

Organizations are becoming more and more data-driven and are looking for ways to accelerate the usage of artificial intelligence and machine learning (AI/ML). Developing and deploying AI/ML models can be complicated in many ways, often involving different tools and services to manage these solutions from end to end.

Machine Learning 261

Machine Learning Data-driven Software Modeling 261

Alation

JULY 19, 2021

This requires a metadata management solution to enable data search & discovery and data governance, both of which empower access to both the metadata and the underlying data to those who need it. In today’s world, metadata management best practices call for a data catalog. Administrative information.

Metadata 105

Metadata Management Data Governance Machine Learning 105

Smart Data Collective

MAY 20, 2019

It’s important to build a solid CV by working with businesses and teams that fit a specialization, so choose one. Machine Learning Experience is a Must. By 2020, over 40 percent of all data science tasks will be automated. Machine learning technology and its growing capability is a huge driver of that automation.

Analytics 111

Analytics Machine Learning Business Intelligence Big Data 111

IBM Big Data Hub

APRIL 10, 2023

A well-designed data architecture should support business intelligence and analysis, automation, and AI—all of which can help organizations to quickly seize market opportunities, build customer value, drive major efficiencies, and respond to risks such as supply chain disruptions.

Strategy 93

Strategy Data Architecture Cost-Benefit Reporting 93

David Menninger's Analyst Perspectives

APRIL 8, 2021

Over the years, the adoption of cloud computing has gained momentum with more and more organizations trying to make use of applications, data, analytics and self-service business intelligence (BI) tools running on top of cloud-computing infrastructure in order to improve efficiency.

Management 248

Management Digital Transformation Business Intelligence Internet of Things 248

IBM Big Data Hub

JUNE 29, 2023

This may involve consolidating data from enterprise resource planning (ERP) systems, customer relationship management (CRM) systems, supply chain management systems, and other relevant sources. Implementing advanced analytics and business intelligence tools can further enhance data analysis and decision-making capabilities.

Key Performance Indicator 81

Key Performance Indicator Forecasting Data Integration Sales 81

Jen Stirrup

FEBRUARY 23, 2024

Data Lineage : Understanding the source and flow of data through various systems and processes, which is crucial for troubleshooting, impact analysis, and compliance. In this blog post, we will explore the key trends that will shape the landscape of data observability in 2024.

Data-driven 74

Data-driven Data Governance Data Quality Cost-Benefit 74

Octopai

APRIL 19, 2021

Without organized metadata management, the validity of a company’s data is compromised and they won’t achieve adequate compliance, data governance, or generate correct insights. Strong metadata management enhances business intelligence which leads to more informed strategy and better performance. IRM UK Connects.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

CIO Business Intelligence

JUNE 14, 2023

Candidates are required to complete a minimum of 12 credits, including four required courses: Algorithms for Data Science, Probability and Statistics for Data Science, Machine Learning for Data Science, and Exploratory Data Analysis and Visualization. Candidates have 90 minutes to complete the exam.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

David Menninger's Analyst Perspectives

NOVEMBER 30, 2021

TIBCO is a large, independent cloud-computing and data analytics software company that offers integration, analytics, business intelligence and events processing software. It enables organizations to analyze streaming data in real time and provides the capability to automate analytics processes.

Analytics 175

Analytics Data Warehouse Business Intelligence Software 175

CIO Business Intelligence

FEBRUARY 16, 2023

My vision is that I can give the keys to my businesses to manage their data and run their data on their own, as opposed to the Data & Tech team being at the center and helping them out,” says Iyengar, director of Data & Tech at Straumann Group North America. The offensive side? The company’s Findability.ai

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 105

CIO Business Intelligence

OCTOBER 24, 2023

Business drivers for the first wave of digital transformation through 2020 targeted growth, data capabilities, cloud migration, and delivering competitive technology capabilities. Still, certain issues surface time and time again to trouble business outcomes regardless of the strategic objectives.

Digital Transformation 145

Digital Transformation Data-driven Business Objectives Strategy 145

CIO Business Intelligence

OCTOBER 13, 2023

Application data architect: The application data architect designs and implements data models for specific software applications. Information/data governance architect: These individuals establish and enforce data governance policies and procedures.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

IBM Big Data Hub

APRIL 25, 2023

In a prior blog , we pointed out that warehouses, known for high-performance data processing for business intelligence, can quickly become expensive for new data and evolving workloads. Returning to the analogy, there have been significant changes to how we power cars.

Optimization 57

Optimization Strategy Data Warehouse Cost-Benefit 57

CIO Business Intelligence

NOVEMBER 16, 2022

AI and machine learning are mature today. So we’re leveraging those things in our business and market. The right governance around that product data has to be in place too so it can be used throughout the full product lifecycle. CIO, Data Governance, Digital Transformation, IT Leadership

IT 133

IT Modeling Digital Transformation Data Governance 133

CIO Business Intelligence

MAY 17, 2022

Advanced governance. Aside from the more eye-catching analytics capabilities, Tableau is also adding some new data governance and management features to Tableau Cloud. Tableau Cloud is available to customers today, with Data Stories and Model Builder set to be made available later in the year.

IT 98

IT Predictive Modeling Machine Learning Dashboards 98

Alation

JUNE 16, 2021

Alation … [offers a] dedicated data catalog… while others include this functionality as a part of a broader (e.g., business intelligence) solution. Wisdom of Crowds® research is based on data collected on usage and deployment trends, products, and vendors. Data governance is a growing focus.

Reporting 52

Reporting Business Intelligence Data Governance Metadata 52

Domino Data Lab

JULY 22, 2019

data science’s emergence as an interdisciplinary field – from industry, not academia. why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

TDAN

JANUARY 3, 2024

As GenAI ascends in priority for CIOs, CDOs, and business leaders, 2023 has placed data and analytics in the spotlight. The hidden challenge is that entities lagging in data industrialization find themselves trailing in business transformation. GenAI and machine learning are touted to address myriad problems.

Analytics 52

Analytics Machine Learning Data Governance Business Intelligence 52