Alation

MAY 2, 2023

Hospitality organizations use data analytics to unlock insights, improve operations, and maximize profits. Leveraging analytics enables companies in this space to achieve financial and operational efficiencies while delivering personalized services and offerings. What is data analytics in the hospitality industry?

Data Analytics 40

Data Analytics Analytics ROI Data Governance 40

Smarten

APRIL 19, 2024

Nothing…and I DO mean NOTHING…is more prominent in technology buzz today than Artificial Intelligence (AI). In a recent survey of C-suite executives, 80% of said they believe AI will transform their organizations, and 64% said it is the most transformational technology in a generation. billion, with the market growing by 31.1%

Analytics 57

Analytics Predictive Modeling KPI Machine Learning 57

CIO Business Intelligence

DECEMBER 11, 2023

Now, it’s time to pay for it, and that’s putting a spotlight squarely on the chief financial officer (CFO), who has increasingly become the gatekeeper deciding which projects get funded and how significantly AI will play a role in enterprise strategy. For the CFOs at the center of that transformation, the stakes are higher than ever.

Finance 86

Finance Forecasting IoT Predictive Modeling 86

Smarten

JUNE 22, 2022

Technology research and consulting firm, Gartner, predicts that, ‘By 2023, data literacy will become an explicit and necessary driver of business value, demonstrated by its formal inclusion in over 80% of data and analytics strategies and change management programs.’. Benefits of Embedded BI.

Slice and Dice 76

Slice and Dice Digital Transformation Business Intelligence Predictive Modeling 76

BizAcuity

APRIL 25, 2022

Casinos would do well to think through their marketing strategies, to support growth, differentiate themselves from competitors, and strengthen their relationship with patrons and members. Thanks to data analytics, these decisions can now be backed by data. Real-time decisions can be taken in line with data insights.

Marketing 52

Marketing Strategy ROI Digital Transformation 52

Smarten

MARCH 13, 2024

If you are an IT professional, a business manager or an executive, you have probably been following the progress of the Citizen Data Scientist movement. For a number of years, Gartner and other technology research and analysis firms have predicted and monitored the growth of this phenomenon. ’ So, how is it going?

Analytics 52

Analytics Predictive Modeling Strategy Enterprise 52

Smart Data Collective

SEPTEMBER 17, 2020

Nowadays, terms like ‘Data Analytics,’ ‘Data Visualization,’ and ‘Big Data’ have become quite popular. In this modern age, each business entity is driven by data. Data analytics are now very crucial whenever there is a decision-making process involved. The Role of Big Data.

Big Data 141

Big Data Finance Risk Management Risk 141

CIO Business Intelligence

OCTOBER 13, 2023

Businesses are turning to gen AI to streamline business processes, develop proprietary AI technology, and reduce manual efforts in order to free up employees to take on more intensive tasks. Here are the top 11 roles companies are currently hiring for, or have plans to hire for, to directly address their emerging gen AI strategies.

Deep Learning 142

Deep Learning Machine Learning Modeling Software 142

CIO Business Intelligence

JULY 28, 2022

They’ve also created a relationship with universities, setting up a pipeline of emerging technology-focused interns, who work at the company, gain experience in data science, and then can potentially be hired after they graduate. . And machine learning engineers are being hired to design and build automated predictive models.

Data Science 143

Data Science IT Machine Learning Data-driven 143

datapine

NOVEMBER 27, 2019

In 2020, BI tools and strategies will become increasingly customized. Businesses of all sizes are no longer asking if they need increased access to business intelligence analytics but what is the best BI solution for their specific business. The trends we presented last year will continue to play out through 2020.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

datapine

JANUARY 31, 2022

Using business intelligence and analytics effectively is the crucial difference between companies that succeed and companies that fail in the modern environment. Ultimately, business intelligence and analytics are about much more than the technology used to gather and analyze data. Let’s look at our first use case.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

IBM Big Data Hub

MAY 17, 2024

And these technologies provide brands with intelligent tools, enabling more productivity and efficiency than was possible even five years ago. AI models analyze vast amounts of data quickly and accurately. Today the technology’s advanced capabilities encourage widespread adoption.

B2B 66

B2B Interactive Optimization Forecasting 66

Smarten

MAY 30, 2023

When a business plans to launch an augmented analytics or business intelligence solution, it must carefully plan for user adoption – especially if the launch of this solution is part of a larger strategy for self-serve business user analytics and the Citizen Data Scientist approach to data use across the enterprise.

Slice and Dice 52

Slice and Dice Business Intelligence Cost-Benefit Dashboards 52

Smarten

JUNE 5, 2019

.” The Smarten advanced analytics team will participate in the Gartner Data & Analytics Summit and engage with partners and clients to demonstrate the Smarten approach to Augmented Analytics and join with Summit attendees to explore the future of analytics and fact-based business strategy.

Analytics 40

Analytics Predictive Modeling Data Analytics Data Warehouse 40

Rocket-Powered Data Science

OCTOBER 6, 2023

Here are a few business examples of this type of prescriptive analytics: Which marketing campaign is most efficient and effective (has best ROI) in optimizing sales? Which pricing strategies lead to the best business revenue? Now that we have described predictive and prescriptive analytics in detail, what is there left?

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

CIO Business Intelligence

SEPTEMBER 2, 2022

What may not be as obvious is the company’s investments and activities in advanced analytics, digital manufacturing, electrification, intelligent products as well as autonomy and active safety, that are being applied in vehicles today and may one day be used by NASA as it returns to the moon with its planned sustained human exploration project.

Uncertainty 82

Uncertainty Manufacturing Data-driven Business Intelligence 82

CIO Business Intelligence

SEPTEMBER 2, 2022

What may not be as obvious is the company’s investments and activities in advanced analytics, digital manufacturing, electrification, intelligent products as well as autonomy and active safety, that are being applied in vehicles today and may one day be used by NASA as it returns to the moon with its planned sustained human exploration project.

Uncertainty 82

Uncertainty Manufacturing Data-driven Business Intelligence 82

FineReport

APRIL 9, 2024

Understanding Healthcare BI Tools The Role of Healthcare BI Tools Healthcare BI tools are instrumental in revolutionizing decision-making processes and patient care through the utilization of advanced data analysis and technology.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

Cloudera

NOVEMBER 18, 2020

In fact, each of the 29 finalists represented organizations running cutting-edge use cases that showcase a winning enterprise data cloud strategy. The technological linchpin of its digital transformation has been its Enterprise Data Architecture & Governance platform. Data Champions . Data for Good.

Internet Publishing and Broadcasting 121

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 121

BizAcuity

JULY 13, 2021

For the mass of collected data that AI technology can process and use, the customer’s habits are known. The platform consists of four layers independently developed in a service-oriented architecture which makes it highly scalable and fault-tolerant: Data Ingestion/Data Lake Layer. Data Enrichment/Data Warehouse Layer.

Optimization 52

Optimization Marketing Analytics Data Warehouse 52

datapine

DECEMBER 4, 2019

Applied to business, it is used to analyze current and historical data in order to better understand customers, products, and partners and to identify potential risks and opportunities for a company. The commercial use of predictive analytics is a relatively new thing. Augmented Analytics.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

Cloudera

DECEMBER 9, 2020

Entrants in this award category are so important to recognize because of how they tie every piece of their data strategy together. And in so doing, enrich the organization and secure, report, serve and predict on all the data they have access to. . This is why Globe Telecom established the Enterprise Data Office (EDO).

Predictive Modeling 71

Predictive Modeling Data Warehouse Enterprise Data Strategy 71

Sisense

AUGUST 11, 2019

BA and BI are broad terms covering all kinds of technologies and approaches – and, to add to the confusion, are often used interchangeably. So…what is the difference between business intelligence and business analytics? What Does “Business Analytics” Mean? BA primarily predicts what will happen in the future.

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

datapine

MARCH 25, 2022

There is not a clear line between business intelligence and analytics, but they are extremely connected and interlaced in their approach towards resolving business issues, providing insights on past and present data, and defining future decisions. What Is The Difference Between Business Intelligence And Business Analytics.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

Smarten

AUGUST 22, 2023

When considering the value of this type of initiative, it is worth noting that Gartner sees ‘a positive relationship between the level of analytics BI adoption…and achieved business benefits.’ Try Smarten Insights Software-As-A-Service Data Analytics solution for FREE.

Enterprise 52

Enterprise Predictive Analytics Consulting Strategy 52

Cloudera

MAY 12, 2021

Use cases for this category could include but are not limited to: people analytics and reporting; employee recruiting, retention and development; employee resource groups; diversity, equality and inclusion strategy; supplier diversity, and more. DATA FOR GOOD. A popular category last year, and no doubt this year too.

Digital Transformation 68

Digital Transformation Machine Learning Optimization Data Lake 68

IBM Big Data Hub

FEBRUARY 14, 2024

McDonald’s is building AI solutions for customer care with IBM Watson AI technology and NLP to accelerate the development of its automated order taking (AOT) technology. Banks and other lenders can use ML classification algorithms and predictive models to suggest loan decisions.

Cost-Benefit 83

Cost-Benefit Insurance Unstructured Data Machine Learning 83

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

MAY 1, 2023

BI is a set of independent systems (technologies, processes, people, etc.) that gathers data from many sources. These tools prep that data for analysis and then provide reporting on it from a central viewpoint. And Manufacturing and Technology, both 11.6 Why Are Embedded Analytics a 100% Must-Have?

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Depict Data Studio

SEPTEMBER 17, 2019

Amy Cesal is a graphic designer specializing in data visualization. She’s currently a contractor with Ad Hoc and was previously a Technology and Innovation Fellow at CFPB. Before government, Amy worked at the Sunlight Foundation, where she created one of the first style guides specifically for data visualization.

Visualization 40

Visualization Consulting Dashboards Reporting 40