CIO Business Intelligence

DECEMBER 21, 2022

By 2025, it’s estimated we’ll have 463 million terabytes of data created every day,” says Lisa Thee, data for good sector lead at Launch Consulting Group in Seattle. But what they really need to do is fundamentally rethink how data is managed and accessed,” he says. We all hear the horror stories,” he says.

IT 131

IT Business Intelligence Sales Key Performance Indicator 131

AWS Big Data

AUGUST 1, 2024

Migrating to Amazon Redshift offers organizations the potential for improved price-performance, enhanced data processing, faster query response times, and better integration with technologies such as machine learning (ML) and artificial intelligence (AI).

Data Warehouse 115

Data Warehouse KPI Optimization Cost-Benefit 115

CIO Business Intelligence

SEPTEMBER 8, 2022

In Foundry’s 2022 Data & Analytics Study , 88% of IT decision-makers agree that data collection and analysis have the potential to fundamentally change their business models over the next three years. The ability to pivot quickly to address rapidly changing customer or market demands is driving the need for real-time data.

Cost-Benefit 122

Cost-Benefit Internet of Things Data-driven Data Lake 122

BI-Survey

APRIL 27, 2023

While most continue to struggle with data quality issues and cumbersome manual processes, best-in-class companies are making improvements with commercial automation tools. The data vault has strong adherents among best-in-class companies, even though its usage lags the alternative approaches of third-normal-form and star schema.

Modeling 52

Modeling Data Warehouse Data Quality Business Driver 52

Alation

APRIL 18, 2023

For any data user in an enterprise today, data profiling is a key tool for resolving data quality issues and building new data solutions. In this blog, we’ll cover the definition of data profiling, top use cases, and share important techniques and best practices for data profiling today.

IT 52

IT Data Quality Metadata Data Governance 52

CIO Business Intelligence

AUGUST 14, 2024

Start where your data is Using your own enterprise data is the major differentiator from open access gen AI chat tools, so it makes sense to start with the provider already hosting your enterprise data. Organizations with experience building enterprise data lakes connecting to many different data sources have AI advantages.

Enterprise 136

Enterprise Cost-Benefit Experimentation Modeling 136

DataKitchen

DECEMBER 9, 2022

Observability in DataOps refers to the ability to monitor and understand the performance and behavior of data-related systems and processes, and to use that information to improve the quality and speed of data-driven decision making. By using DataOps, organizations can improve. Query> When do DataOps?

Machine Learning 130

Machine Learning Data-driven Optimization Data Analytics 130

Peter James Thomas

MAY 3, 2019

As part of my consulting business , I end up thinking about Data Capability Frameworks quite a bit. Sometimes this is when I am assessing current Data Capabilities, sometimes it is when I am thinking about how to transition to future Data Capabilities. Control of Data to ensure it is Fit-for-Purpose. Introduction.

Strategy 55

Strategy Data Architecture Data Strategy Data Quality 55

IBM Big Data Hub

MARCH 14, 2024

Businesses face significant hurdles when preparing data for artificial intelligence (AI) applications. The existence of data silos and duplication, alongside apprehensions regarding data quality, presents a multifaceted environment for organizations to manage.

Cost-Benefit 75

Cost-Benefit Metadata Optimization Management 75

Alation

AUGUST 11, 2022

Today, the brightest minds in our industry are targeting the massive proliferation of data volumes and the accompanying but hard-to-find value locked within all that data. So we have to be very careful about giving the domains the right and authority to fix data quality. Let’s take data privacy as an example.

Metadata 52

Metadata Data Warehouse Data Quality Data Lake 52

Alation

FEBRUARY 17, 2023

Some data seems more analytical, while other is operational (external facing). We recommend identifying the data sources and tables that need to be considered to be governed, establishing the governance owner & data quality details, and saving those details in the catalog. Where do you govern? Here’s an example.

Data Governance 52

Data Governance Data Quality Metadata Cost-Benefit 52

Alation

NOVEMBER 28, 2022

It’s impossible for data teams to assure the data quality of such spreadsheets and govern them all effectively. If unaddressed, this chaos can lead to data quality, compliance, and security issues. I worked with financial analysts, data analysts, and business users.

Metadata 52

Metadata Enterprise Cost-Benefit Finance 52

Ontotext

MARCH 8, 2023

Graphs reconcile such data continuously crawled from diverse sources to support interactive queries and provide a graphic representation or model of the elements within supply chain, aiding in pathfinding and the ability to semantically enrich complex machine learning (ML) algorithms and decision making.

Enterprise 52

Enterprise Knowledge Discovery Risk Machine Learning 52

FineReport

MARCH 24, 2024

Data analysts contribute value to organizations by uncovering trends, patterns, and insights through data gathering, cleaning, and statistical analysis. They collaborate with cross-functional teams to meet organizational objectives and work across diverse sectors, including business intelligence, finance, marketing, and consulting.

Statistics 52

Statistics Data mining Visualization Reporting 52

Peter James Thomas

AUGUST 29, 2018

I have since run and driven transformation in Reference Data, Master Data , KYC [3] , Customer Data, Data Warehousing and more recently Data Lakes and Analytics , constantly building experience and capability in the Data Governance , Quality and data services domains, both inside banks, as a consultant and as a vendor.

Data-driven 61

Data-driven Cost-Benefit Metadata Technology 61

Andrew White

JANUARY 11, 2021

As with any good consulting response, “it depends.” Do you recommend a consulting approach strategy rather than a CDO strategy? Does Data warehouse as a software tool will play role in future of Data & Analytics strategy? Data lakes don’t offer this nor should they. It really does.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

CIO Business Intelligence

APRIL 1, 2024

Sixty-six percent of C-level executives are ambivalent or dissatisfied with the progress of their AI or GenAI efforts, according to Boston Consulting Group 1. GenAI requires high-quality data. Ensure that data is cleansed, consistent, and centrally stored, ideally in a data lake.

Uncertainty 142

Uncertainty Data Lake Consulting Risk 142

CIO Business Intelligence

MARCH 18, 2024

“By investing in the development of our full-time equivalents [FTEs] and equipping our technologists with the requisite expertise, we aim to minimize reliance on external consultants and maximize our ability to drive innovation from within,” says Nafde. AI tools rely on the data in use in these solutions.

Risk 133

Risk Cost-Benefit Data Processing Testing 133

datapine

AUGUST 29, 2022

The new edition also explores artificial intelligence in more detail, covering topics such as Data Lakes and Data Sharing practices. 6) Lean Analytics: Use Data to Build a Better Startup Faster, by Alistair Croll and Benjamin Yoskovitz.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

CIO Business Intelligence

APRIL 17, 2025

As far as many C-suite business and IT executives are concerned, their company data is in great shape, capable of fueling data-driven decision-making and delivering AI-powered solutions. To fix this data quality confidence gap, companies should focus on being more transparent across their org charts, Palaniappan advises.

Data-driven 129

Data-driven Data Quality Snapshot Dashboards 129

BI-Survey

FEBRUARY 27, 2025

Advanced: Does it leverage AI/ML to enrich metadata by automatically linking glossary entries with data assets and performing semantic tagging? Leading-edge: Does it provide data quality or anomaly detection features to enrich metadata with quality metrics and insights, proactively identifying potential issues?

Unstructured Data 52

Unstructured Data Metadata Data Quality Data Governance 52

CIO Business Intelligence

APRIL 16, 2025

Consulting firms say it is because our productivity is so well measured that when you apply a broad-scale capability like generative AI, you can see the impact and justify more investment. We used to need structured data because our machine learning models expected field-level information.

ROI 71

ROI Measurement Testing Data Lake 71