CIO Business Intelligence

OCTOBER 24, 2024

Noting that companies pursued bold experiments in 2024 driven by generative AI and other emerging technologies, the research and advisory firm predicts a pivot to realizing value. Forrester predicts a reset is looming despite the enthusiasm for AI-driven transformations.

ROI 127

ROI Data-driven Enterprise Experimentation 127

Occam's Razor

JANUARY 7, 2014

First… it is important to realize that big data's big imperative is driving big action. 12: Almost all reporting is off custom reports. #11: 7: 25% of all analytical effort is dedicated to data visualization/enhancing data's communicative power. #6: Reporting Squirrels vs. Analysis Ninjas.

Data-driven 142

Data-driven Consulting Reporting Marketing 142

AWS Big Data

JANUARY 15, 2025

For container terminal operators, data-driven decision-making and efficient data sharing are vital to optimizing operations and boosting supply chain efficiency. Together, these capabilities enable terminal operators to enhance efficiency and competitiveness in an industry that is increasingly data driven.

IoT 111

IoT Machine Learning Metadata Data-driven 111

CIO Business Intelligence

JANUARY 10, 2025

The report underscores a growing commitment to AI-driven innovation, with 67% of business leaders predicting that gen AI will transform their organizations by 2025. The data also shows growing momentum around AI agents, with over half of organizations exploring their use. However, only 12% have deployed such tools to date.

ROI 82

ROI Enterprise Broadcasting Metrics 82

DataKitchen

JANUARY 20, 2021

We’ll also discuss building DataOps expertise around the data organization, in a decentralized fashion, using DataOps centers of excellence (COE) or DataOps Dojos. Test data management and other functions provided ‘as a service’ . Central DataOps process measurement function with reports. DataOps Technical Services.

Metrics 243

Metrics Experimentation Measurement Testing 243

CIO Business Intelligence

MARCH 4, 2025

The Block ecosystem of brands including Square, Cash App, Spiral and TIDAL is driven by more than 4,000 engineers and thousands of interconnected software systems. Setting the roadmap Blocks developer experience team determines its roadmap using quantitative and qualitative data to identify opportunities and measure impact.

Experimentation 69

Experimentation Metrics Data-driven Measurement 69

datapine

JANUARY 31, 2022

Because things are changing and becoming more competitive in every sector of business, the benefits of business intelligence and proper use of data analytics are key to outperforming the competition. BI software uses algorithms to extract actionable insights from a company’s data and guide its strategic decisions.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

O'Reilly on Data

APRIL 4, 2024

The race to the top is no longer driven by who has the best product or the best business model, but by who has the blessing of the venture capitalists with the deepest pockets—a blessing that will allow them to acquire the most customers the most quickly, often by providing services below cost. This has led to lawsuits and settlements.

Marketing 237

Marketing Finance Modeling Experimentation 237

O'Reilly on Data

OCTOBER 13, 2020

To support verification in these areas, a product manager must first ensure that the AI system is capable of reporting back to the product team about its performance and usefulness over time. From a technical perspective, it is entirely possible for ML systems to function on wildly different data. I/O validation.

Management 314

Management Machine Learning Metrics Modeling 314

CIO Business Intelligence

SEPTEMBER 23, 2024

In fact, a new report from Forrester Research found that most healthcare organizations are focused more on short-term experimentation than implementing a broader strategic vision for GenAI. It is still the data. That’s what it’s like to find a GenAI strategy on top of a poor data infrastructure.

Management 116

Management Experimentation Data-driven Strategy 116

CIO Business Intelligence

DECEMBER 23, 2024

A new survey of SAP customer organizations shows that, despite AI experimentation, few have implemented AI and generative AI technologies across their enterprises. A small portion of SAP customers reported their organizations were using AI in many areas (6% DSAG, 7% ASUG, 5% UKISUG).

Experimentation 59

Experimentation Optimization Digital Transformation Manufacturing 59

CIO Business Intelligence

AUGUST 20, 2024

Pre-pandemic, high-performance teams were co-located, multidisciplinary, self-organizing, agile, and data-driven. These teams focused on delivering reliable technology capabilities, improving end-user experiences, and establishing data and analytics capabilities.

IT 141

IT Digital Transformation Experimentation Risk 141

CIO Business Intelligence

DECEMBER 19, 2023

The analyst reports tell CIOs that generative AI should occupy the top slot on their digital transformation priorities in the coming year. Moreover, the CEOs and boards that CIOs report to don’t want to be left behind by generative AI, and many employees want to experiment with the latest generative AI capabilities in their workflows.

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

CIO Business Intelligence

MAY 12, 2022

Predictive analytics tools blend artificial intelligence and business reporting. The quality of predictions depends primarily on the data that goes into the system — the old slogan from the mainframe years, “garbage in, garbage out”, still holds today. Visual IDE for data pipelines; RPA for rote tasks. Highlights. Deployment.

Predictive Analytics 137

Predictive Analytics Analytics Statistics Machine Learning 137

CIO Business Intelligence

MARCH 7, 2023

Tech companies have laid off over 250 thousand employees since 2022, and 93% of CEOs report preparing for a US recession over the next 12 to 18 months. Some IT organizations elected to lift and shift apps to the cloud and get out of the data center faster, hoping that a second phase of funding for modernization would come.

Digital Transformation 145

Digital Transformation Data Governance Machine Learning Experimentation 145

CIO Business Intelligence

OCTOBER 8, 2024

An IBM report based on the survey, “6 blind spots tech leaders must reveal,” describes the huge expectations that modern IT leaders face: “For technology to deliver enterprise-wide business outcomes, tech leaders must be part mastermind, part maestro,” the report says. So what’s the deal?

IT 140

IT Strategy Experimentation Technology 140

CIO Business Intelligence

SEPTEMBER 12, 2024

Frustrated by the lack of generative AI tools, he discovers a free online tool that analyzes his data and generates the report he needs in a fraction of the usual time. A routine audit uncovers severe compliance issues with how the tool accesses and stores data. The accolades are short-lived.

Experimentation 112

Experimentation Risk Cost-Benefit Strategy 112

CIO Business Intelligence

OCTOBER 3, 2024

GenAI budget increases were significant, with 12% of respondents reporting an increase of more than 300% compared to the previous year. Medium companies Medium-sized companies—501 to 5,000 employees—were characterized by agility and a strong focus on GenAI experimentation. They also have the means to back it up.

Cost-Benefit 130

Cost-Benefit Testing Experimentation Risk 130

CIO Business Intelligence

OCTOBER 15, 2024

Driven by the development community’s desire for more capabilities and controls when deploying applications, DevOps gained momentum in 2011 in the enterprise with a positive outlook from Gartner and in 2015 when the Scaled Agile Framework (SAFe) incorporated DevOps. It may surprise you, but DevOps has been around for nearly two decades.

Enterprise 143

Enterprise Testing Business Objectives Experimentation 143

Occam's Razor

AUGUST 12, 2013

There are few things more complicated in analytics (all analytics, big data and huge data!) There is lots of missing data. And as if that were not enough, there is lots of unknowable data. The simplest way to start is to look at your Assisted Conversions report in Google Analytics. " low. From a Venn -diagram.

Modeling 162

Modeling Optimization Marketing Interactive 162

CIO Business Intelligence

NOVEMBER 15, 2022

Experiment with the “highly visible and highly hyped”: Gartner repeatedly pointed out that organisations that innovate during tough economic times “stay ahead of the pack”, with Mesaglio in particular calling for such experimentation to be public and visible. on average over the next year, somewhat lower than the projected 6.5%

Digital Transformation 143

Digital Transformation Machine Learning Experimentation Data-driven 143

Smart Data Collective

JULY 9, 2023

E-commerce businesses around the world are focusing more heavily on data analytics. One report found that global e-commerce brands spent over $16.7 There are many ways that data analytics can help e-commerce companies succeed. billion on analytics last year. One benefit is that they can help with conversion rate optimization.

Optimization 97

Optimization Data Analytics Analytics Data-driven 97

AWS Big Data

FEBRUARY 12, 2024

Objective Gupshup wanted to build a messaging analytics platform that provided: Build a platform to get detailed insights, data, and reports about WhatsApp/SMS campaigns and track the success of every text message sent by the end customers. Additionally, extract, load, and transform (ELT) data processing is sped up and made easier.

Analytics 119

Analytics Data Warehouse Snapshot Cost-Benefit 119

The Unofficial Google Data Science Blog

APRIL 23, 2024

Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well. To find optimal values of two parameters experimentally, the obvious strategy would be to experiment with and update them in separate, sequential stages.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

CIO Business Intelligence

DECEMBER 19, 2024

In especially high demand are IT pros with software development, data science and machine learning skills. Government agencies and nonprofits also seek IT talent for environmental data analysis and policy development.

IT 52

IT IoT Machine Learning Optimization 52

Rocket-Powered Data Science

JULY 7, 2019

AGI (Artificial General Intelligence): AI (Artificial Intelligence): Application of Machine Learning algorithms to robotics and machines (including bots), focused on taking actions based on sensory inputs (data). Analytics: The products of Machine Learning and Data Science (such as predictive analytics, health analytics, cyber analytics).

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

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. What report would you want to see on conversion attribution that would help you decide where to spend??

Modeling 125

Modeling Metrics Data Quality Data-driven 125

O'Reilly on Data

MARCH 23, 2023

There are more that I haven’t listed, and there will be even more by the time you read this report. That statement would certainly horrify the researchers who are working on them, but at the level we can discuss in a nontechnical report, they are very similar. The design of Transformers lends itself to large sets of training data.

IT 348

IT Modeling Testing Risk 348

CIO Business Intelligence

OCTOBER 17, 2024

On one hand, they must foster an environment encouraging innovation, allowing for experimentation, evaluation, and learning with new technologies. This structured approach allows for controlled experimentation while mitigating the risks of over-adoption or dependency on unproven technologies.

Risk 108

Risk Experimentation Testing Strategy 108

CIO Business Intelligence

NOVEMBER 21, 2023

There are ample reasons why 77% of IT professionals are concerned about shadow IT, according to a report from Entrust. The most successful programs go beyond rolling out tools by establishing governance in citizen data science programs while taking steps to reduce data debt.

IT 137

IT Risk Cost-Benefit Data Science 137

DataKitchen

MARCH 8, 2023

These three objectives are interconnected and essential to the success of any data team. Delivering insight to customers without error is critical to the success of any data team. The team must ensure that the data they are working with is clean and accurate and that the analysis created from it is rigorous and reliable.

Analytics 130

Analytics Manufacturing Data-driven Data Analytics 130

Cloudera

APRIL 9, 2021

This blog series follows the manufacturing and operations data lifecycle stages of an electric car manufacturer – typically experienced in large, data-driven manufacturing companies. The first blog introduced a mock vehicle manufacturing company, The Electric Car Company (ECC) and focused on Data Collection.

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

CIO Business Intelligence

DECEMBER 6, 2023

Much of our digital agenda is around data. The migration, still in its early stages, is being designed to benefit from the learned efficiencies, proven sustainability strategies, and advances in data and analytics on the AWS platform over the past decade. Before we were quite fragmented across different technologies.

Manufacturing 97

Manufacturing Data Lake Machine Learning Digital Transformation 97

Occam's Razor

APRIL 8, 2013

We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. It helps you to amplify what’s proven to work, throw away what isn’t, and tweak the goal-posts when data indicates that they may be in the wrong place.

Metrics 157

Metrics KPI Analytics Key Performance Indicator 157

Sisense

NOVEMBER 23, 2020

The global pandemic has driven home the fact that data is vital to the success of every organization. Sisense recently surveyed over 460 companies across Australia and New Zealand to dig into their data and analytics usage and future plans. Who is leading the way?

Analytics 98

Analytics Data-driven Marketing Reporting 98

Occam's Razor

DECEMBER 9, 2009

It is rare for me to work with a organization where the root cause for their faith based decision making (rather than data driven) was not the org structure. Surprisingly it is often not their will to use data, that is there in many cases. Chapter 14: HiPPOs, Ninjas, and the Masses: Creating a Data-Driven Culture.

Analytics 95

Analytics Data-driven Marketing Sales 95

Occam's Razor

SEPTEMBER 19, 2011

It is also important to point out that I am keeping the data simple purely to keep communication of the story straightforward. Here's the outcomes data for the control version of the experiment. Bonus 2: Google Analytics has a wonderful set of reports called Multi-Channel Funnels. Enough talk, let's play ball!

Measurement 120

Measurement Advertising Testing Marketing 120