IBM Big Data Hub

NOVEMBER 4, 2022

Data is the new oil and organizations of all stripes are tapping this resource to fuel growth. However, data quality and consistency are one of the top barriers faced by organizations in their quest to become more data-driven. Unlock quality data with IBM. and its leading data observability offerings.

Data Quality 57

Data Quality Metadata Data Governance Data-driven 57

CIO Business Intelligence

JUNE 23, 2023

According to the MIT Technology Review Insights Survey, an enterprise data strategy supports vital business objectives including expanding sales, improving operational efficiency, and reducing time to market. The problem is today, just 13% of organizations excel at delivering on their data strategy.

Data Strategy 111

Data Strategy Strategy Visualization Consulting 111

CIO Business Intelligence

JUNE 9, 2023

Such is the case with a data management strategy. That gap is becoming increasingly apparent because of artificial intelligence’s (AI) dependence on effective data management. A few years ago, Gartner found that “organizations estimate the average cost of poor data quality at $12.8

Strategy 113

Strategy Management Key Performance Indicator ROI 113

CIO Business Intelligence

MARCH 4, 2024

The data mesh debate This is not to say that there is a consensus that data mesh is a universal solution. Stakeholders are currently waging an open debate across the industry of centralization versus federated data strategies. To learn more, visit us here.

Insurance 90

Insurance Strategy Data Governance Data Integration 90

TDAN

APRIL 5, 2022

Regardless of how accurate a data system is, it yields poor results if the quality of data is bad. As part of their data strategy, a number of companies have begun to deploy machine learning solutions. In a recent study, AI and machine learning were named as the top data priorities for 2021, by 61% […].

Machine Learning 98

Machine Learning Data Quality Data Strategy Strategy 98

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 95

Strategy Data Architecture Cost-Benefit Reporting 95

Jim Harris

DECEMBER 24, 2015

Have you ever experienced that sinking feeling, where you sense if you don’t find data quality, then data quality will find you? I hope that you enjoy reading this blog post, but most important, I hope you always remember: “Data are friends, not food.” Data Silos. You, Data-Dude, takin’ on the defects.

Data Quality 56

Data Quality Enterprise Business Intelligence Data Governance 56

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

CIO Business Intelligence

APRIL 24, 2024

Finally, the flow of AMA reports and activities generates a lot of data for the SAP system, and to be more effective, we’ll start managing it with data and business intelligence.” The goal is to correlate all types of data that affect assets and bring it all into the digital twin to take timely action,” says D’Accolti.

Digital Transformation 101

Digital Transformation Business Intelligence Unstructured Data Data Lake 101

CIO Business Intelligence

FEBRUARY 14, 2023

It’s clear how these real-time data sources generate data streams that need new data and ML models for accurate decisions. Data quality is crucial for real-time actions because decisions often can’t be taken back. However, a data execution strategy has to evolve for real-time AI to scale with speed.

Data Strategy 114

Data Strategy Strategy Machine Learning Data-driven 114

Jen Stirrup

AUGUST 14, 2019

What is Data Debt? Data debt is like technical debt, only visible in bad data, poor data quality, and an underuse of data-oriented technology to help make better decisions. Blueprint for paying back data debt. It is the overhang of projects, whether they went well or poorly.

Business Intelligence 96

Business Intelligence Finance IT Cost-Benefit 96

datapine

JANUARY 24, 2021

It is not just important to gather all the existing information, but to consider the preparation of data and utilize it in the proper way, has become an indispensable value in developing a successful business strategy. That being said, it seems like we’re in the midst of a data analysis crisis.

IT 317

IT Statistics KPI Data-driven 317

O'Reilly on Data

FEBRUARY 11, 2020

We suspected that data quality was a topic brimming with interest. The responses show a surfeit of concerns around data quality and some uncertainty about how best to address those concerns. Key survey results: The C-suite is engaged with data quality. Data quality might get worse before it gets better.

Data Quality 304

Data Quality Metadata Data Governance Publishing 304

datapine

APRIL 15, 2020

When it comes to implementing and managing a successful BI strategy we have always proclaimed: start small, use the right BI tools , and involve your team. When encouraging these BI best practices what we are really doing is advocating for agile business intelligence and analytics. Without further ado, let’s begin.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

Smart Data Collective

DECEMBER 21, 2022

Big data technology has helped businesses make more informed decisions. A growing number of companies are developing sophisticated business intelligence models, which wouldn’t be possible without intricate data storage infrastructures. One of the biggest issues pertains to data quality.

Business Analytics 110

Business Analytics Analytics Data Quality Big Data 110

CIO Business Intelligence

MARCH 24, 2023

The Data Management Association (DAMA) International defines it as the “planning, oversight, and control over management of data and the use of data and data-related sources.” Such a framework provides your organization with a holistic approach to collecting, managing, securing, and storing data.

Data Governance 142

Data Governance Management Metadata Data Quality 142

Howard Dresner

JANUARY 4, 2015

I kicked off a recent discussion with this question to the group: “What are the top five worst practices in business intelligence?” I certainly don’t want to minimize the great successes organizations are having with business intelligence. It took only a few minutes for them to toss out a lot more than five.

Business Intelligence 45

Business Intelligence Recreation/Entertainment Sales Data Quality 45

CIO Business Intelligence

MAY 2, 2023

Despite the best of intentions, CIOs and their organizations often struggle to deliver business outcomes from digital transformation strategies. And while KPMG reports that 72% of CEOs have aggressive digital investment strategies, McKinsey details a harsh reality that 70% of transformations fail.

Digital Transformation 138

Digital Transformation IT Data-driven Metrics 138

CIO Business Intelligence

APRIL 4, 2024

The project, which is still in what Redmond calls the “value proposition stage,” has already generated positive results for the company’s electrical business. “On-time Webster Bank is following a similar strategy. Data is the lynchpin to AI success,” says Nafde. Align your AI strategy with your business strategy.

Enterprise 133

Enterprise Cost-Benefit Forecasting Strategy 133

Smarten

NOVEMBER 26, 2023

Planning for Adoption of Business Intelligence Without business intelligence, the enterprise does not have an objective understanding of what works, what does not work, and how, when and where to make changes to adapt to the market, its customers and its competition. What will make the most sense?

Business Intelligence 52

Business Intelligence Software Reporting Technology 52

Howard Dresner

JANUARY 20, 2014

Instead, let’s kick start the year with some definite plans and aspirations of companies in the business intelligence sphere. He is one of the foremost thought leaders in Business Intelligence and Performance Management, having coined the term “Business Intelligence” in 1989. Definitely, they responded.

Business Intelligence 56

Business Intelligence Software Data Processing Marketing 56

CIO Business Intelligence

MARCH 27, 2023

They’re spending a lot of time on things like data quality, data management, things that might be tactical, helping with operational aspects of IT. But that’s not helping move the value of the organization as a business forward.” Organizations are still investing in data and analytics functions.

Data-driven 144

Data-driven Data Quality Strategy Reporting 144

CIO Business Intelligence

APRIL 8, 2024

Like other data-driven initiatives, Souza says Digital Athlete uses data rather than hunches and instinct to understand what’s happening on the field during games and practices. The first thing is having a data strategy, having a foundation of data, and then asking questions of it.”

Analytics 105

Analytics Broadcasting Predictive Analytics Metrics 105

CIO Business Intelligence

APRIL 1, 2024

The research cited a lack of talent and skills to work with the technology (62%), unclear AI and GenAI investment priorities (47%), and the absence of a strategy for responsible AI (41%) as the top three obstacles. Reach consensus on strategy. Ensure that data is cleansed, consistent, and centrally stored, ideally in a data lake.

Data Lake 130

Data Lake Consulting Uncertainty Risk 130

datapine

AUGUST 14, 2019

To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations. But being an inquisitive Sherlock Holmes of data is no easy task. Our Top Data Science Tools. Geet our bite-sized free summary and start building your data skills!

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

CIO Business Intelligence

APRIL 17, 2024

Salesforce to capitalize on the GenAI demand Salesforce’s possible bid to acquire Informatica could be a result of the company’s strategy to capitalize on the growing demand for generative AI , analysts said. The enterprise data management vendor reported a total revenue of $1.5 billion and $1.6 billion for FY22 and FY23 respectively.

Cost-Benefit 128

Cost-Benefit B2B Marketing Enterprise 128

CIO Business Intelligence

MARCH 27, 2024

Le aziende italiane investono in infrastrutture, software e servizi per la gestione e l’analisi dei dati (+18% nel 2023, pari a 2,85 miliardi di euro, secondo l’Osservatorio Big Data & Business Analytics della School of Management del Politecnico di Milano), ma quante sono giunte alla data maturity?

Data Governance 52

Data Governance Data Lake Data Strategy Data-driven 52

CIO Business Intelligence

APRIL 11, 2024

“Oracle Cloud Infrastructure is now capable of hosting a full range of traditional and modern IT workloads, and for many enterprise customers, Oracle is a proven vendor,” says David Wright, vice president of research for cloud infrastructure strategies at research firm Gartner. Cloud Computing, IT Strategy, Oracle, Technology Industry

Enterprise 124

Enterprise IT Data Processing Strategy 124

datapine

JANUARY 21, 2020

Spreadsheets no longer provide adequate solutions for a serious company looking to accurately analyze and utilize all the business information gathered. That’s where business intelligence reporting comes into play – and, indeed, is proving pivotal in empowering organizations to collect data effectively and transform insight into action.

Business Intelligence 259

Business Intelligence Reporting Cost-Benefit Dashboards 259

Jen Stirrup

AUGUST 14, 2019

What is Data Debt? Data debt is like technical debt, only visible in bad data, poor data quality, and an underuse of data-oriented technology to help make better decisions. Blueprint for paying back data debt. It is the overhang of projects, whether they went well or poorly.

Business Intelligence 40

Business Intelligence Finance IT Cost-Benefit 40

Octopai

APRIL 19, 2021

Strong metadata management enhances business intelligence which leads to more informed strategy and better performance. Donna Burbank is a Data Management Consultant and acts as the Managing Director at Global Data Strategy, Ltd. He is the Director of TDWI Research for business intelligence.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

CIO Business Intelligence

MARCH 18, 2024

When it comes to AI, Nafde sees risks in the vendors selected, the business-worthiness of the use case, and the cost of the initiative. The CIO has strategies in place to address all three. A key focus of the bank’s AI team is likewise data quality. For vendors, Nafde is starting with established with hyperscalers. “We

Risk 131

Risk Cost-Benefit Data Processing Testing 131

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. Digital Transformation, Generative AI, IT Leadership, IT Strategy, IT Training

Digital Transformation 142

Digital Transformation Unstructured Data Machine Learning Risk Management 142

Smart Data Collective

JANUARY 9, 2023

By strategically taking advantage of these innovative technologies to glean powerful insights from data, organizations can truly maximize the value of the data that they have access to. Here is a strategic approach to maximize your data’s value. Accurately Informing Marketing Strategies. What Is AI and Machine Learning?

Machine Learning 125

Machine Learning Software Strategy Marketing 125

Jen Stirrup

FEBRUARY 23, 2024

Data Volume : Monitoring changes in the amount of data, which can indicate issues or unexpected behavior in data pipelines. Schema Changes : Tracking data structure or schema changes can affect downstream processes and analytics. Data Quality : Identifying data accuracy, consistency, and completeness issues.

Data-driven 73

Data-driven Data Governance Data Quality Cost-Benefit 73

CIO Business Intelligence

NOVEMBER 13, 2023

Inadequate data management and governance Data is at the heart of digital transformation, and companies that don’t have adequate data management processes in place are likely to struggle. Ensuring data quality, privacy, and security is essential. Digital Transformation, IT Leadership, IT Strategy

Digital Transformation 142

Digital Transformation Cost-Benefit Experimentation Measurement 142

Alation

JULY 19, 2021

Yes, we’re talking about metadata, or information that describes other data. For enterprise data, metadata, and effective metadata management , is a critical component of a good data management strategy. Define a Metadata Strategy. Defining a metadata strategy requires an organization to consider its data goals.

Metadata 105

Metadata Management Data Governance Machine Learning 105