CIO Business Intelligence

FEBRUARY 14, 2023

Titanium Intelligent Solutions, a global SaaS IoT organization, even saved one customer over 15% in energy costs across 50 distribution centers , thanks in large part to AI. Here, I’ll focus on why these three elements and capabilities are fundamental building blocks of a data ecosystem that can support real-time AI.

Data Strategy 113

Data Strategy Strategy Machine Learning Data-driven 113

erwin

JANUARY 17, 2020

What is Data Modeling? Data modeling is a process that enables organizations to discover, design, visualize, standardize and deploy high-quality data assets through an intuitive, graphical interface. Data models provide visualization, create additional metadata and standardize data design across the enterprise.

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

CIO Business Intelligence

JANUARY 12, 2023

This has not been helped by the fact that universities have traditionally lagged the private sector in terms of cloud adoption, a key technology enabler for effective data storage and analysis. One thing holding universities back has been a reluctance to move away from traditional buying models.

Data Strategy 87

Data Strategy Strategy IT Consulting 87

CIO Business Intelligence

MAY 23, 2024

Once upon a time, the data that most businesses had to work with was mostly structured and small in size. This meant that it was relatively easy for it to be analyzed using simple business intelligence (BI) tools. All this adds up to a significant upfront investment that can be cost-prohibitive for many businesses.

Machine Learning 98

Machine Learning Forecasting Business Intelligence Software 98

CIO Business Intelligence

APRIL 6, 2022

For decades organizations chased the Holy Grail of a centralized data warehouse/lake strategy to support business intelligence and advanced analytics. That’s not to say that a decentralized data strategy wholly replaces the more traditional centralized data initiative — Maccaux emphasizes that there is a need for both.

Data Strategy 52

Data Strategy Strategy Internet of Things Data Warehouse 52

CIO Business Intelligence

APRIL 30, 2024

Your AI strategy is only as good as your data strategy,” Tableau CMO Elizabeth Maxon said in a press conference Monday. But to us, it’s more than just having a data strategy; it’s also about building a great foundation of a data culture.”

Analytics 79

Analytics Metrics Visualization Dashboards 79

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. Building the right data model is an important part of your data strategy.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

CIO Business Intelligence

APRIL 5, 2023

CIO Sarah Betadam led a three-year journey to becoming a fully functional data-driven enterprise. Later, learn how Tapestry – home to luxury consumer brands such as Coach and Kate Spade – developed a cloud-first operating model in a conversation between CIO Ashish Parmar and Vice President of Data Science and Engineering Fabio Luzzi.

Strategy 88

Strategy Data Strategy Digital Transformation Data-driven 88

TDAN

AUGUST 17, 2021

If you are planning on using predictive algorithms, such as machine learning or data mining, in your business, then you should be aware that the amount of data collected can grow exponentially over time.

Predictive Modeling 115

Predictive Modeling Modeling Data mining Big Data 115

CIO Business Intelligence

APRIL 8, 2024

Risk Mitigation Modeling can then be used to analyze training data and determine a player’s ideal training volume while minimizing injury risk. 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.

Analytics 104

Analytics Broadcasting Predictive Analytics Metrics 104

CIO Business Intelligence

APRIL 4, 2024

“Everyone is running around trying to apply this technology that’s moving so fast, but without business outcomes, there’s no point to it,” says Redmond, CIO at power management systems manufacturer Eaton Corp. “We We need to continue to be mindful of business outcomes and apply use cases that make sense.”

Enterprise 132

Enterprise Cost-Benefit Forecasting Sales 132

TDAN

JANUARY 3, 2023

NoSQL database systems continue to gain traction, but they are still not widely understood. There is more than one type of NoSQL database and a large number of individual NoSQL DBMSs. There are more than 225 NoSQL DBMSs listed on the NoSQL Database website alone and it just is not possible to review and understand every option. […].

Modeling 84

Modeling Data Architecture IT Data Strategy 84

CIO Business Intelligence

MAY 7, 2024

Many organizations are just beginning to embrace the concept of data as a huge business asset, adds Chetna Mahajan, chief digital and information officer at Amplitude, a data analytics firm. Until organizations realize the value of their data, the CDO role will be misunderstood, she adds.

Data Strategy 126

Data Strategy Data-driven Data Quality Strategy 126

Smart Data Collective

JANUARY 26, 2021

We covered the benefits of using machine learning and other big data tools in translations in the past. However, big data often encapsulates using constantly growing data sets to determine business intelligence objectives, such as when to expand into a new market, which product might perform overseas, and which regions to expand into.

Data Architecture 121

Data Architecture Big Data Data Strategy Data-driven 121

CIO Business Intelligence

NOVEMBER 16, 2022

For emerging technologies like those, we’ll experiment internally and think about how they might apply to our business and how it could create new or different opportunities. On the enterprise data strategy: I am a self-admitted data geek. When you leverage internal data, you need governance around that data.

IT 133

IT Modeling Digital Transformation Data Governance 133

CIO Business Intelligence

JANUARY 22, 2024

Since the introduction of ChatGPT, the healthcare industry has been fascinated by the potential of AI models to generate new content. While the average person might be awed by how AI can create new images or re-imagine voices, healthcare is focused on how large language models can be used in their organizations.

Unstructured Data 91

Unstructured Data Digital Transformation Data Strategy Modeling 91

IBM Big Data Hub

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science 80

Data Science Data Analytics Prescriptive Analytics Analytics 80

CIO Business Intelligence

MAY 14, 2024

During the second phase, NLP and ML models created and trained by the King County Department of IT extract the pertinent information from these digitized reports. The ML models include classic ML and deep learning to predict category labels from the narrative text in reports.

Deep Learning 84

Deep Learning Machine Learning Reporting Experimentation 84

Jen Stirrup

MARCH 29, 2023

What does a sound, intelligent data foundation give you? It can give business-oriented data strategy for business leaders to help drive better business decisions and ROI. It can also increase productivity by enabling the business to find the data they need when the business teams need it.

Metadata 121

Metadata Data Warehouse Data Integration Business Intelligence 121

CIO Business Intelligence

APRIL 11, 2022

With the focus shifting to distributed data strategies, the traditional centralized approach can and should be reimagined and transformed to become a central pillar of the modern IT data estate. It’s not about physically bringing all that data together into a centralized repository.”. over last year.

Optimization 52

Optimization Data Lake Data Strategy Internet of Things 52

CIO Business Intelligence

AUGUST 2, 2023

Ryan Snyder: For a long time, companies would just hire data scientists and point them at their data and expect amazing insights. That strategy is doomed to fail. The best way to start a data strategy is to establish some real value drivers that the business can get behind.

Manufacturing 90

Manufacturing Data Architecture Strategy Data Strategy 90

CIO Business Intelligence

SEPTEMBER 14, 2023

Data engineers also need communication skills to work across departments and to understand what business leaders want to gain from the company’s large datasets. Data engineers must also know how to optimize data retrieval and how to develop dashboards, reports, and other visualizations for stakeholders.

Analytics 134

Analytics Data Science Unstructured Data Data mining 134

CIO Business Intelligence

FEBRUARY 9, 2024

By using all the data at its disposal, Digital Athlete can reconstruct the conditions of how and when an injury occurred and run simulations of any play using different sets of players. Risk Mitigation Modeling can then be used to analyze training data and determine a player’s ideal training volume while minimizing injury risk.

Recreation/Entertainment 133

Recreation/Entertainment Data-driven Risk Digital Transformation 133

CIO Business Intelligence

JUNE 14, 2022

Of course, building a vision and culture around data that gets your company to that point is the trick. The first step, according to EY, is to adopt a visionary core data strategy. Such a strategy should connect how data will inform, support, and drive an organization’s short- and long-term strategic business plans.

Data Transformation 144

Data Transformation Data-driven Data Strategy Strategy 144

Smart Data Collective

JULY 9, 2023

ETL (Extract, Transform, Load) is a crucial process in the world of data analytics and business intelligence. In this article, we will explore the significance of ETL and how it plays a vital role in enabling effective decision making within businesses.

Data Quality 85

Data Quality Data Warehouse Data-driven Reporting 85

CIO Business Intelligence

AUGUST 25, 2023

It’s around these four work streams that leading organizations are positioning themselves to mature their data strategies and, in doing so, answer not only today’s AI questions but tomorrow’s. Someone has to develop, train, and supervise the models,” he explains. “…the You can’t wrangle AI by yourself. Experiment.

Strategy 95

Strategy Data Strategy Experimentation Uncertainty 95

CIO Business Intelligence

MAY 2, 2023

One recent study shows that only 50% follow a product-centric operating model focusing on customer centricity and delivering delightful customer experiences. This derailment stems from having no defined data strategy or having one not aligned with digital transformation objectives. Digital Transformation

Digital Transformation 138

Digital Transformation IT Data-driven Metrics 138

CIO Business Intelligence

APRIL 6, 2022

In all of these roles, I’ve come across patterns that enable organizations to build faster business insights and innovation with data. These patterns encompass a way to deliver value to the business with data; I refer to them collectively as the “data operating model.” 2) The real-time data pattern.

Cost-Benefit 130

Cost-Benefit Digital Transformation Data-driven Strategy 130

CIO Business Intelligence

JUNE 30, 2023

It’s well acknowledged that data, when used correctly, has the potential to be a strategic growth asset driving innovation – and with the recent developments in large language models (LLM) for AI, data is really having its day in the sun. To win the game, you need a modern, future-proof business plan.

Internet of Things 87

Internet of Things Strategy Data Strategy Risk 87

CIO Business Intelligence

OCTOBER 13, 2023

Solutions data architect: These individuals design and implement data solutions for specific business needs, including data warehouses, data marts, and data lakes. Application data architect: The application data architect designs and implements data models for specific software applications.

Data Architecture 130

Data Architecture Data Warehouse Statistics Visualization 130

CIO Business Intelligence

AUGUST 18, 2022

Enter the data lakehouse. Traditionally, organizations have maintained two systems as part of their data strategies: a system of record on which to run their business and a system of insight such as a data warehouse from which to gather business intelligence (BI).

Data Lake 139

Data Lake Data Warehouse Unstructured Data Business Intelligence 139

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

IBM Big Data Hub

JANUARY 5, 2023

The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases. Practice proper data hygiene across interfaces.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

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. Semi-structured data needs to be reformatted and transformed to be loaded into tables.

Optimization 56

Optimization Strategy Data Warehouse Cost-Benefit 56

CIO Business Intelligence

APRIL 7, 2023

Most notably, for about 71% of IT leaders, angst about security creates a barrier to adoption, mandating that approaches, infrastructure, data strategies and security be appropriately aligned 3. Simply put, if AI is a rocket ship, data is the fuel. The time required to train general-purpose LLMs can take months.

Enterprise 105

Enterprise Cost-Benefit Modeling Digital Transformation 105

CIO Business Intelligence

APRIL 12, 2023

All of this needs to work cohesively in a real-time ecosystem and support the speed and scale necessary to realize the business benefits of real-time AI. Most current data architectures were designed for batch processing with analytics and machine learning models running on data warehouses and data lakes.

Machine Learning 138

Machine Learning Cost-Benefit Data-driven Strategy 138

AWS Big Data

JULY 13, 2023

This post discusses the journey that took Altron from their initial goals, to technical implementation, to the business value created from understanding their customers and their unique opportunities better.

Optimization 92

Optimization B2B Data Quality Sales 92