CIO Business Intelligence

FEBRUARY 6, 2025

As someone deeply involved in shaping data strategy, governance and analytics for organizations, Im constantly working on everything from defining data vision to building high-performing data teams. My work centers around enabling businesses to leverage data for better decision-making and driving impactful change.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

datapine

JANUARY 24, 2021

In our cutthroat digital age, the importance of setting the right data analysis questions can define the overall success of a business. That being said, it seems like we’re in the midst of a data analysis crisis. Your Chance: Want to perform advanced data analysis with a few clicks? Data Is Only As Good As The Questions You Ask.

IT 317

IT Statistics KPI Data-driven 317

CIO Business Intelligence

FEBRUARY 26, 2025

We actually started our AI journey using agents almost right out of the gate, says Gary Kotovets, chief data and analytics officer at Dun & Bradstreet. In addition, because they require access to multiple data sources, there are data integration hurdles and added complexities of ensuring security and compliance.

IT 141

IT Enterprise Interactive Data Quality 141

datapine

MAY 21, 2019

“BI is about providing the right data at the right time to the right people so that they can take the right decisions” – Nic Smith. Data analytics isn’t just for the Big Guys anymore; it’s accessible to ventures, organizations, and businesses of all shapes, sizes, and sectors. And the success stories are seemingly endless.

Business Intelligence 183

Business Intelligence Cost-Benefit Dashboards ROI 183

O'Reilly on Data

OCTOBER 13, 2020

From a technical perspective, it is entirely possible for ML systems to function on wildly different data. For example, you can ask an ML model to make an inference on data taken from a distribution very different from what it was trained on—but that, of course, results in unpredictable and often undesired performance. I/O validation.

Management 317

Management Machine Learning Metrics Modeling 317

Timo Elliott

DECEMBER 10, 2024

One of the sessions I sat in at UKISUG Connect 2024 covered a real-world example of data management using a solution from Bluestonex Consulting , based on the SAP Business Technology Platform (SAP BTP). Impact of Errors : Erroneous data posed immediate risks to operations and long-term damage to customer trust.

Management 52

Management Data Governance Consulting Risk 52

CIO Business Intelligence

NOVEMBER 13, 2024

Now, picture doing that with a mountain of data. LeverX, the Miami-based IT consulting wizard, makes this transition smooth and hassle-free with its cutting-edge platform, DataLark. It involves shifting massive amounts of data from outdated legacy systems to a sleek, modern ERP platform.

Cost-Benefit 64

Cost-Benefit Data-driven Data Integration Data Quality 64

IBM Big Data Hub

SEPTEMBER 11, 2023

The bulk of these uncertainties do not revolve around what software package to pick or whether to migrate to the cloud; they revolve around how exactly to apply these powerful technologies and data with precision and control to achieve meaningful improvements in the shortest time possible.

Data-driven 85

Data-driven IT Measurement Cost-Benefit 85

CIO Business Intelligence

FEBRUARY 20, 2025

Making decisions based on data To ensure that the best people end up in management positions and diverse teams are created, HR managers should rely on well-founded criteria, and big data and analytics provide these. Kastrati Nagarro The problem is that many companies still make little use of their data.

Big Data 84

Big Data Measurement Visualization Machine Learning 84

Occam's Razor

AUGUST 13, 2012

The questions reveal a bunch of things we used to worry about, and continue to, like data quality and creating data driven cultures. Then you build a massive data store that you can query for data to analyze. A lot of people buy tools and consulting and go love crazy with attribution modeling.

Modeling 125

Modeling Metrics Data Quality Data-driven 125

CIO Business Intelligence

JANUARY 20, 2023

Truly data-driven companies see significantly better business outcomes than those that aren’t. But to get maximum value out of data and analytics, companies need to have a data-driven culture permeating the entire organization, one in which every business unit gets full access to the data it needs in the way it needs it.

Data Lake 135

Data Lake Data-driven Finance Data Architecture 135

BizAcuity

APRIL 1, 2023

Thanks to the recent technological innovations and circumstances to their rapid adoption, having a data warehouse has become quite common in various enterprises across sectors. This is where business intelligence consulting comes into the picture. Data governance and security measures are critical components of data strategy.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

BizAcuity

JANUARY 31, 2023

Thanks to the recent technological innovations and circumstances to their rapid adoption, having a data warehouse has become quite common in various enterprises across sectors. This is where business intelligence consulting comes into the picture. Data governance and security measures are critical components of data strategy.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

Cloudera

SEPTEMBER 1, 2021

The more an enterprise wants to know about itself and its business prospects, the more data it needs to collect and analyze. Additionally, the more data it collects and stores, the better its ability to know customers, to find new ones, and to provide more of what they want to buy. Common characteristics of data-driven companies.

Data-driven 101

Data-driven Data Quality Enterprise Digital Transformation 101

CIO Business Intelligence

JULY 10, 2024

CIOs are under pressure to integrate generative AI into business operations and products, often driven by the demand to meet business and board expectations swiftly. Samsung employees leaked proprietary data to ChatGPT. We examine the risks of rapid GenAI implementation and explain how to manage it.

Risk 111

Risk Strategy Consulting Cost-Benefit 111

CIO Business Intelligence

JANUARY 7, 2025

The two companies, it states, along with an ecosystem of partners that will include IBM Consulting, intend to work together to help IBM customers transform through RISE with SAP on IBM Power Virtual Server with combined solutions, capabilities, and joint go-to-market efforts. Transitioning systems isnt easy, and change adds complexity.

Consulting 98

Consulting Enterprise Data-driven Data Quality 98

CIO Business Intelligence

MARCH 31, 2022

The chief data officer (CDO) is a senior executive responsible for the utilization and governance of data across the organization. While the chief data officer title is often shortened to CDO, the role should not be confused with that of the chief digital officer , which is also frequently referred to as CDO.

Consulting 134

Consulting Data Strategy Data Governance Strategy 134

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 116

Data Strategy Strategy Visualization Consulting 116

CIO Business Intelligence

AUGUST 15, 2024

Many of those gen AI projects will fail because of poor data quality, inadequate risk controls, unclear business value , or escalating costs , Gartner predicts. In the enterprise, huge expectations have been partly driven by the major consumer reaction following the release of ChatGPT in late 2022, Stephenson suggests.

ROI 143

ROI Cost-Benefit Experimentation Deep Learning 143

DataKitchen

DECEMBER 9, 2022

ChatGPT> DataOps, or data operations, is a set of practices and technologies that organizations use to improve the speed, quality, and reliability of their data analytics processes. The goal of DataOps is to help organizations make better use of their data to drive business decisions and improve outcomes.

Machine Learning 130

Machine Learning Data-driven Optimization Data Analytics 130

CIO Business Intelligence

JANUARY 24, 2024

Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Here are some data strategy mistakes IT leaders would be wise to avoid.

Data Strategy 136

Data Strategy Strategy Unstructured Data Data Governance 136

Andrew White

MAY 4, 2020

As a result, Data, Analytics and AI are in even greater demand. Demand from all these organizations lead to yet more data and analytics. In the realm of AI and Machine Leaning, data is used to train models to help explore specific business issues or questions. With data comes quality issues. Everything Changes.

Uncertainty 90

Uncertainty Data Quality Consulting Predictive Modeling 90

AWS Big Data

APRIL 4, 2024

Many enterprises are migrating their on-premises data stores to the AWS Cloud. During data migration, a key requirement is to validate all the data that has been moved from source to target. This data validation is a critical step, and if not done correctly, may result in the failure of the entire project.

Data Quality 90

Data Quality Data Lake Data Warehouse Data-driven 90

CIO Business Intelligence

JUNE 1, 2022

The company is applying winning insights from rapid, data-driven, evolutionary models versus relying on engine speed and aerodynamics alone to win races. Like professional basketball, industrial-scale farming, national politics, and global merchandising, auto racing has become a data science. Using Data to Generate Simulations.

Manufacturing 119

Manufacturing Digital Transformation Predictive Analytics Strategy 119

AWS Big Data

JUNE 14, 2023

The AWS Professional Services (ProServe) Insights team builds global operational data products that serve over 8,000 users within Amazon. Our team was formed in 2019 as an informal group of four analysts who supported ad hoc analysis for a division of ProServe consultants.

Dashboards 105

Dashboards KPI Scorecard Metadata 105

CIO Business Intelligence

SEPTEMBER 8, 2022

Most organizations understand the profound impact that data is having on modern business. 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. Customers have too many options.

Cost-Benefit 122

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

Smart Data Collective

APRIL 29, 2020

As the world is gradually becoming more dependent on data, the services, tools and infrastructure are all the more important for businesses in every sector. Data management has become a fundamental business concern, and especially for businesses that are going through a digital transformation. What is data management?

Management 99

Management Data Warehouse Digital Transformation Dashboards 99

CIO Business Intelligence

DECEMBER 21, 2022

Every day, organizations of every description are deluged with data from a variety of sources, and attempting to make sense of it all can be overwhelming. 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. “By

IT 131

IT Business Intelligence Sales Key Performance Indicator 131

CIO Business Intelligence

AUGUST 11, 2023

In today’s digital world, the ability to make data-driven decisions and develop strategies that are based on data analytics is critical to success in every industry. This not only involves transforming data into a competitive advantage but rethinking how we use and distribute D&A across our business and functions.

Data Analytics 98

Data Analytics Analytics Data-driven Business Driver 98

Alation

OCTOBER 5, 2021

What is data governance and how do you measure success? Data governance is a system for answering core questions about data. It begins with establishing key parameters: What is data, who can use it, how can they use it, and why? Why is your data governance strategy failing? Common data governance challenges.

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

Jim Harris

JULY 13, 2015

Background: “Apathy is the enemy of data quality”. I began work on data quality in the late 1980s at the great Bell Laboratories. Indeed, I can’t recall a single person who claimed high-quality data wasn’t important. As my interests expanded beyond quality, I expanded the scope of my scan to all things data.

Data Quality 56

Data Quality Data-driven Big Data Consulting 56

CIO Business Intelligence

MAY 15, 2024

Even if you don’t have the training data or programming chops, you can take your favorite open source model, tweak it, and release it under a new name. If you have a data center that happens to have capacity, why pay someone else?” It’s also the training data, model weights, and fine tuning. Gen AI, however, isn’t just code.

Modeling 137

Modeling Risk Software Enterprise 137

Peter James Thomas

JANUARY 8, 2020

As well as consultancy, research and interim work , peterjamesthomas.com Ltd. The recently launched Data Strategy Review Service is just one example. Seattle-based Data Consultancy, Neal Analytics , is an organisation we have worked with on a number of projects and whose experience and expertise dovetails well with our own.

Consulting 61

Consulting Data-driven Publishing Data Strategy 61

CIO Business Intelligence

DECEMBER 10, 2024

Over the course of this year, CIOs have spent time studying the Data Act, the European digital regulatory framework composed of a set of laws united by the aim to encourage innovation in European companies, and to open up new markets. In practice, its the framework of rules from which a data-driven company can take flight.

Manufacturing 78

Manufacturing Data-driven Data Governance Marketing 78

AWS Big Data

FEBRUARY 13, 2023

This is a guest post by Miguel Chin, Data Engineering Manager at OLX Group and David Greenshtein, Specialist Solutions Architect for Analytics, AWS. We live in a data-producing world, and as companies want to become data driven, there is the need to analyze more and more data.

Snapshot 96

Snapshot Data Warehouse Analytics Testing 96

AWS Big Data

AUGUST 14, 2023

This post is the first in a series dedicated to the art and science of practical data mesh implementation (for an overview of data mesh, read the original whitepaper The data mesh shift ). Taken together, the posts in this series lay out some possible operating models for data mesh within an organization.

Management 98

Management Risk Measurement Optimization 98

IBM Big Data Hub

NOVEMBER 24, 2023

Application modernization starts with assessment of current legacy applications, data and infrastructure and applying the right modernization strategy (rehost, re-platform, refactor or rebuild) to achieve the desired result. Duplicative capabilities across applications and channels give rise to duplicative IT resources (e.g.,

Cost-Benefit 89

Cost-Benefit Testing Data-driven Enterprise 89