IBM Big Data Hub

JUNE 30, 2022

The rise of data strategy. There’s a renewed interest in reflecting on what can and should be done with data, how to accomplish those goals and how to check for data strategy alignment with business objectives. The evolution of a multi-everything landscape, and what that means for data strategy.

Data Strategy 56

Data Strategy Strategy Business Objectives Data-driven 56

Cloudera

AUGUST 30, 2022

Our experience so far reveals firms are still in the early stages of understanding the operational model and the total cost of ownership related to data platforms deployed in the cloud compared to on-premise deployments. In some cases, firms are surprised by cloud storage costs and looking to repatriate data.

Strategy 110

Strategy Data Strategy ROI Cost-Benefit 110

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

APRIL 8, 2024

Nearly 10 years ago, Bill James, a pioneer in sports analytics methodology, said if there’s one thing he wished more people understood about sabermetrics, pertaining to baseball, it’s that the data is not the point. The point is to use the data like a razor to cut through false convictions to find the truth.

Analytics 100

Analytics Broadcasting Predictive Analytics Metrics 100

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 77

Data Science Data Analytics Prescriptive Analytics Analytics 77

Data Virtualization

MAY 19, 2023

Reading Time: 11 minutes The post Data Strategies for Getting Greater Business Value from Distributed Data appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Strategy 52

Data Strategy Strategy Data Integration Management 52

Smart Data Collective

MAY 10, 2022

Data analytics technology is rapidly becoming a more integral part of many company cultures. According to the 2021 State of Data Maturity Report, 32% of companies have formal data strategies. Data analytics serves many different purposes. Using Data Analytics Can Help Create a Better Company Culture.

Data Analytics 131

Data Analytics Analytics Big Data Data-driven 131

Cloudera

MARCH 25, 2021

This will surely cause headaches for organizations with operations in multiple states, each with their own data privacy regulations. Probably more well known, the EU’s GDPR serves as a model for much of the new data privacy legislation coming forward. Financial institutions and insurers understand the benefits of more data.

Data Strategy 67

Data Strategy Strategy Enterprise Insurance 67

CIO Business Intelligence

SEPTEMBER 14, 2023

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines that convert raw data into formats usable by data scientists, data-centric applications, and other data consumers.

Analytics 133

Analytics Data Science Unstructured Data Data mining 133

Smart Data Collective

DECEMBER 21, 2022

A growing number of companies are developing sophisticated business intelligence models, which wouldn’t be possible without intricate data storage infrastructures. The Global BPO Business Analytics Market was worth nearly $17 billion last year. Unfortunately, some business analytics strategies are poorly conceptualized.

Business Analytics 109

Business Analytics Analytics Data Quality Big Data 109

Andrew White

JUNE 13, 2021

Your data strategy will be out of date as a result. To readers of this blog and for many of our clients the value of data is a hot, but not new, topic. Being part of the data and analytics team, we research where and how data is used to create new insight. But synthetic data is a substitute with risks.

Data Strategy 52

Data Strategy Strategy Marketing Risk 52

TDAN

SEPTEMBER 5, 2023

Understanding your data may unearth hidden insights and move your business ahead, whether you’re a small startup or an established enterprise. However, going on the road of data analytics may […]

Data Analytics 128

Data Analytics Analytics Enterprise Data Quality 128

CIO Business Intelligence

MAY 23, 2024

Simple BI tools are no longer capable of handling this huge volume and variety of data, so more advanced analytical tools and algorithms are required to get the kind of meaningful, actionable insights that businesses need. All this adds up to a significant upfront investment that can be cost-prohibitive for many businesses.

Machine Learning 95

Machine Learning Forecasting Business Intelligence Software 95

Occam's Razor

MARCH 23, 2021

Analytics teams are named for the silos and limitations within which they trap themselves. Data Warehousing. Finally, few analytics teams obsess about predictive analytics in a way that allows them to dictate future action. Transforming Data’s Strategic Influence. intelligent analytics initiatives.

Analytics 131

Analytics Scorecard Strategy Testing 131

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. When internal AI tools struggle with accuracy, it’s often because they don’t have enough data, Mahajan says.

Data Strategy 124

Data Strategy Data-driven Data Quality Strategy 124

CIO Business Intelligence

AUGUST 9, 2022

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines used by data scientists, data-centric applications, and other data consumers. Data engineer job description.

Analytics 124

Analytics Data Science Statistics Unstructured Data 124

Smart Data Collective

SEPTEMBER 23, 2021

You may not have thought about creative professionals having a strong foundation in data analytics. Artists are known for their creative insights, rather than their analytical or scientific competencies. However, the world has changed, which means that a background in big data and other types of technology is equally important.

Data Analytics 112

Data Analytics Analytics Cost-Benefit Big Data 112

Smart Data Collective

AUGUST 31, 2020

Big data is the lifeblood of modern app development. App developers should also use data analytics to maximize their monetization opportunities. They are embracing new big data initiatives to find the best opportunities. Various Fitness App Monetization Models. Ads Monetization Model. Just click the link.

Data-driven 102

Data-driven Modeling Advertising Big Data 102

Smart Data Collective

FEBRUARY 15, 2022

Data analytics has become a very important part of business management. Large corporations all over the world have discovered the wonders of using big data to develop a competitive edge in an increasingly competitive global market. American Express is an example of a company that has used big data to improve its business model.

Marketing 101

Marketing Data Analytics Analytics Big Data 101

CIO Business Intelligence

MARCH 21, 2022

What is a data scientist? Data scientists are analytical data experts who use data science to discover insights from massive amounts of structured and unstructured data to help shape or meet specific business needs and goals. Semi-structured data falls between the two.

Unstructured Data 134

Unstructured Data Data Analytics Analytics Structured Data 134

Smart Data Collective

NOVEMBER 24, 2019

One of the biggest applications is that new predictive analytics models are able to get a better understanding of the relationships between employees and find areas where they break down. These big data algorithms can offer insights to improve harmony within the team. Big Data is the Key to Stronger Team Extension Models.

Big Data 73

Big Data Modeling ROI Predictive Analytics 73

Smart Data Collective

AUGUST 7, 2019

One study found that 77% of small businesses don’t even have a big data strategy. If your company lacks a big data strategy, then you need to start developing one today. The best thing that you can do is find some data analytics tools to solve your most pressing challenges. Creating predictive models.

Data Analytics 99

Data Analytics Analytics Big Data Data Lake 99

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 88

Unstructured Data Digital Transformation Data Strategy Modeling 88

Andrew White

NOVEMBER 1, 2019

Only 3 years ago (see Data and Analytics Strategies Need More-Concrete Metrics of Success ) where we reviewed all the data strategies we had seen in the previous couple of years and less than 15% of them had concrete measurable outcomes. Most of these strategies were effectively based on faith, hope, and charity.

Strategy 56

Strategy Analytics Data-driven Data Strategy 56

CIO Business Intelligence

NOVEMBER 16, 2022

On the enterprise data strategy: I am a self-admitted data geek. When you leverage internal data, you need governance around that data. Our priority is around delivering product innovation and having that digital twin or that digital thread where data is fundamental. The two are extremely important.

IT 133

IT Modeling Digital Transformation Data Governance 133

TDAN

FEBRUARY 1, 2022

The COVID-19 pandemic has shown that data-driven decisions have influence over all our lives over the last two years. But decisions made without proper data foundations, such as well constructed and updated data models, can lead to potentially disastrous results.

Modeling 52

Modeling Data-driven Metadata Data Strategy 52

TDAN

FEBRUARY 1, 2022

The COVID-19 pandemic has shown that data-driven decisions have influence over all our lives over the last two years. But decisions made without proper data foundations, such as well constructed and updated data models, can lead to potentially disastrous results.

Modeling 52

Modeling Data-driven Metadata Data Strategy 52

Sisense

MARCH 24, 2020

We provide actionable advice around how organizations, and ultimately the builders of data and analytic apps, are adapting to meet these changes. They understood the need to maintain momentum in their analytics program in the face of an overwhelming crisis. Integrate data to understand revenue drivers.

Analytics 94

Analytics Sales Forecasting Business Intelligence 94

Cloudera

NOVEMBER 30, 2021

Some organizations have taken this as an opportunity for positive change by moving workloads to the cloud and utilizing enterprise data strategies that are key to their business resiliency. The maturity model suggests that those with clear strategies and approaches to transform their technologies are ahead of their competitors.

Enterprise 75

Enterprise Reporting Data Strategy Strategy 75

TDAN

MAY 15, 2024

In discussions with data management professionals, conversations often veer toward the technical intricacies of migration to the cloud or algorithm optimization, overshadowing the core business objectives that originally spurred these initiatives.

Business Objectives 52

Business Objectives Metrics Analytics Optimization 52

CIO Business Intelligence

FEBRUARY 9, 2024

Souza has headed up the Sports practice at AWS for more than three years after stints as head of business development and strategy at both ESPN and Second Spectrum, a data tracking and analytics provider for the NBA and other sports leagues. You’re not building a model, setting it, and going, right?

Recreation/Entertainment 131

Recreation/Entertainment Data-driven Risk Digital Transformation 131

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 82

Deep Learning Machine Learning Reporting Experimentation 82

CIO Business Intelligence

OCTOBER 13, 2023

Application data architect: The application data architect designs and implements data models for specific software applications. Information/data governance architect: These individuals establish and enforce data governance policies and procedures.

Data Architecture 129

Data Architecture Data Warehouse Statistics Visualization 129

Timo Elliott

JANUARY 6, 2022

The SAP Data Intelligence Cloud solution helps you simplify your landscape with tools for creating data pipelines that integrate data and data streams on the fly for any type of use – from data warehousing to complex data science projects to real-time embedded analytics in business applications.

IT 133

IT Metadata Data-driven Data Governance 133

Smart Data Collective

JULY 20, 2022

A growing number of businesses use big data technology to optimize efficiency. However, companies that have a formal data strategy are still in the minority. Only 32% of executives have officially laid out a data strategy to drive their organization. Many data-driven companies are using QR codes to track sales.

Data-driven 123

Data-driven Optimization Big Data Data Strategy 123

Ontotext

JANUARY 29, 2024

In 2023, data leaders and enthusiasts were enamored of — and often distracted by — initiatives such as generative AI and cloud migration. I expect to see the following data and knowledge management trends emerge in 2024.

Strategy 52

Strategy Management Metadata Data-driven 52

Analytics Vidhya

NOVEMBER 18, 2023

Dive into the transformative world of data science with Analytics Vidhya’s groundbreaking series Leading With Data. In this exclusive interview from the series, Kunal Jain, CEO of Analytics Vidhya, engages in a riveting conversation with Vin Vashishta, a distinguished AI leader.

Data Science 307

Data Science Strategy Analytics Data Strategy 307