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 80

Data Science Data Analytics Prescriptive Analytics Analytics 80

Smart Data Collective

AUGUST 10, 2021

. ‘Although companies in healthcare, IT and finance are some of the biggest investors in analytics technology, plenty of other sectors are investing in analytics as well. Analytics Becomes Major Asset to Companies Across All Sectors. Do you find storing and managing a large quantity of data to be a difficult task?

Data Analytics 135

Data Analytics Analytics Big Data Key Performance Indicator 135

BA Learnings

JANUARY 2, 2023

Identify Areas of Improvement Once the data has been analyzed, identify areas where improvement is needed for processes to become more efficient or cost-effective. At the same time, artificial intelligence (AI) technology like IBM Watson can be used for more complex tasks such as predictive analytics or natural language processing (NLP).

Data Analytics 130

Data Analytics Analytics Metrics Testing 130

Smart Data Collective

JULY 9, 2023

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

Optimization 74

Optimization Data Analytics Analytics Data-driven 74

Smart Data Collective

MAY 3, 2022

Data analytics technology is helping businesses boost profitability in many ways. A few years ago, Walter Baker and his colleagues at McKinsey reported that one of the biggest advantages of big data in business is that it can help with pricing decisions. How Can Data Analytics Help with Creating a Pricing Strategy?

Data Analytics 89

Data Analytics Analytics Big Data Sales 89

Smart Data Collective

MAY 19, 2021

Big data technology has become a major disrupting factor in the energy industry. Many energy conglomerates have started embracing data analytics to expand their markets, respond to new trends, streamline operations and bolster efficiency. The clean energy sector has not been untouched by the big data revolution.

Data Analytics 89

Data Analytics Analytics Big Data Predictive Analytics 89

BizAcuity

MARCH 31, 2022

Combined, it has come to a point where data analytics is your safety net first, and business driver second. More use-cases are being tried, tested and built everyday, the innovation in this field will not cease for the next few years. The aim of predictive analytics is, as the name suggests, to predict and forecast outcomes.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

CIO Business Intelligence

JULY 5, 2022

Business analytics can help you improve operational efficiency, better understand your customers, project future outcomes, glean insights to aid in decision-making, measure performance, drive growth, discover hidden trends, generate leads, and scale your business in the right direction, according to digital skills training company Simplilearn.

Business Analytics 131

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 131

CIO Business Intelligence

JANUARY 19, 2024

Whether you’re looking to earn a certification from an accredited university, gain experience as a new grad, hone vendor-specific skills, or demonstrate your knowledge of data analytics, the following certifications (presented in alphabetical order) will work for you. Transforming data into value What is a data scientist?

Data Science 126

Data Science Machine Learning Predictive Modeling Experimentation 126

AWS Big Data

MARCH 27, 2024

Achieving this will also improve general public health through better and more timely interventions, identify health risks through predictive analytics, and accelerate the research and development process.

Data Analytics 93

Data Analytics Analytics Data Warehouse Data Lake 93

IBM Big Data Hub

APRIL 1, 2024

Stacking strong data management, predictive analytics and GenAI is foundational to taking your product organization to the next level. These same tools can analyze code and identify and fix bugs in the code to reduce testing efforts.

Predictive Analytics 80

Predictive Analytics Sales Enterprise Predictive Modeling 80

Smarten

JULY 13, 2023

Citizen Data Scientists Can Leverage Predictive Analytics for Real Actionable Intelligence! Gartner technology analysts predict that organizations leveraging augmented analytics solutions will grow at twice the rate of those that do not use these solutions.

Predictive Modeling 52

Predictive Modeling Predictive Analytics Cost-Benefit Advertising 52

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. Everything is being tested, and then the campaigns that succeed get more money put into them, while the others aren’t repeated. Let’s look at our first use case.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

IBM Big Data Hub

JUNE 14, 2023

Perhaps most significantly, manufacturers interested in an SM approach can integrate robotics with IIoT sensors and data analytics to create a more flexible and responsive production environment. Build and test prototypes right on the shop floor. Enable on-demand manufacturing to streamline inventory management processes.

Manufacturing 74

Manufacturing Technology Internet of Things Cost-Benefit 74

CIO Business Intelligence

JUNE 1, 2022

The data transmitted from each car during a race ? Predictive analytics can foretell a breakdown before it happens. The digital twins at McLaren are also used to run simulations for the design of new parts and then to test them for performance and reliability before they are manufactured and installed in the racing cars.

Manufacturing 108

Manufacturing Digital Transformation Predictive Analytics Strategy 108

Smart Data Collective

MARCH 8, 2021

Big data eliminates all the guesswork and allows fleet managers to make purely informed decisions. All in all, the concept of big data is all about predictive analytics. Such data is great for introducing revamped maintenance practices. Predictive analytics takes care of both direct and indirect costs.

Big Data 143

Big Data Management Predictive Analytics Statistics 143

Smart Data Collective

DECEMBER 22, 2021

The good news is that big data is able to help with many of these issues. For example, a construction business can utilize project management software with sophisticated AI and data analytics algorithms to help lower the risk of construction projects going awry. Data analytics is especially useful for UX optimization.

Big Data 136

Big Data Data mining Data-driven Predictive Analytics 136

datapine

MARCH 8, 2021

Like many of today’s most important industries, digital data, metrics and KPIs (key performance indicators) are a part of a bright and prosperous future – and a comprehensive healthcare report has the power to deliver in each of these critical areas. Your Chance: Want to test a healthcare reporting software for free?

Reporting 198

Reporting KPI Management Cost-Benefit 198

datapine

NOVEMBER 27, 2019

The demand for real-time online data analysis tools is increasing and the arrival of the IoT (Internet of Things) is also bringing an uncountable amount of data, which will promote the statistical analysis and management at the top of the priorities list. It’s an extension of data mining which refers only to past data.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Smart Data Collective

JANUARY 6, 2021

Big data is central to financial management. The market for financial data analytics is expected to reach $10 billion by 2025. One of the biggest uses of big data in finance relates to accounts receivable management. Fortunately, new advances in data technology have made accounts receivable management easier than ever.

Data-driven 94

Data-driven Management Big Data Predictive Analytics 94

Smart Data Collective

SEPTEMBER 7, 2021

33% respondents of Statista’s survey indicated that big data is essential to their business success. Key advantages of big data in retail. Wondering why data analytics tools stand out among management, payment processing software and other retail software solutions ? 4 real-life examples of retailers leveraging big data.

Big Data 125

Big Data Technology Cost-Benefit Predictive Analytics 125

Smart Data Collective

AUGUST 18, 2021

When applied to the hiring process, data analytics can help you strategically grow and manage your team with greater accuracy and success. More companies are using big data to create a stronger company culture. Moreover, big data can also improve talent retention by 56% and better clarify skills gaps by 50%.

Data Science 136

Data Science Management Big Data Metrics 136

datapine

MAY 2, 2023

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. The complex and ever-evolving nature of logistics makes it an essential use case for big data applications.

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

CIO Business Intelligence

SEPTEMBER 12, 2022

Collectively, the agencies also have pilots up and running to test electric buses and IoT sensors scattered throughout the transportation system. As a result, NJ Transit’s data maturity as an organization has grown. IDC analyst Sandeep Mukunda says NJ Transit’s approach to data analytics has been very advanced.

Data Warehouse 115

Data Warehouse Predictive Analytics Data Lake IoT 115

CIO Business Intelligence

JULY 5, 2022

When Marcus Ericsson, driving for Chip Ganassi Racing, won the Indianapolis 500 in May, it was in a car equipped with more than 140 sensors streaming data and predictive analytic insights, not only to the racing team but to fans at the Brickyard and around the world.

Recreation/Entertainment 97

Recreation/Entertainment Predictive Analytics Digital Transformation Data-driven 97

CIO Business Intelligence

JULY 1, 2022

When Marcus Ericsson, driving for Chip Ganassi Racing, won the Indianapolis 500 in May, it was in a car equipped with more than 140 sensors streaming data and predictive analytic insights, not only to the racing team but to fans at the Brickyard and around the world.

Recreation/Entertainment 94

Recreation/Entertainment Predictive Analytics Digital Transformation Data-driven 94

datapine

OCTOBER 11, 2023

Among the many strategies and technologies organizations use to keep these costs at a minimum, predictive analytics is one of the most effective ones. Therefore, it is essential to test different benchmarks and see what works best for your business. Achieving a perfect picking and packing cycle time is all about testing.

Metrics 217

Metrics KPI Management Cost-Benefit 217

CIO Business Intelligence

AUGUST 2, 2022

Data analytics and business intelligence are critical to every business, but especially important in the energy industry, as information is channeled from consumers and commercial clients related to usage that feeds into AES’ sustainability and services planning. What is the biggest challenge for you in this area right now?

Data Quality 84

Data Quality Digital Transformation Machine Learning Predictive Analytics 84

Smart Data Collective

MARCH 30, 2022

Companies that know how to leverage analytics will have the following advantages: They will be able to use predictive analytics tools to anticipate future demand of products and services. They can use data on online user engagement to optimize their business models. Step #6 — Launch your new e-commerce website.

Analytics 115

Analytics Cost-Benefit Testing Dashboards 115

Jet Global

FEBRUARY 13, 2024

When organizations save on the resources it takes to establish effective embedded analytics functions, they can turn their attention to advanced analytics features like predictive analytics and generative artificial intelligence (GenAI). Buyers should seek solutions with robust, tested security features and controls.

Analytics 52

Analytics Dashboards Reporting Predictive Analytics 52

Domino Data Lab

JULY 28, 2021

At this stage, data scientists begin writing code for computation and model-building. To model anything highly technical and computationally — machine learning, deep learning, big data analytics, and natural-language processing, to name a few — code-based tools (such as R and Python) are usually preferred.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

Cloudera

JANUARY 25, 2022

Dashboards often look in the rearview mirror, focusing on historical data and not on future insights – ie, predictive analytics. . The explosion of new and more accessible ML tooling means there’s never been a better time to take the leap into predictive analytics than right now. .

Visualization 89

Visualization Machine Learning Predictive Analytics Data-driven 89

Cloudera

JANUARY 5, 2021

To enable these business capabilities requires an enterprise data platform to process streaming data at high volume and high scale, to manage and monitor diverse edge applications, and provide data scientists with tools to build, test, refine and deploy predictive machine learning models. .

Forecasting 91

Forecasting Cost-Benefit Sales Unstructured Data 91

FineReport

MARCH 24, 2024

Rapid technological advancements and extensive networking have propelled the evolution of data analytics, fundamentally reshaping decision-making practices across various sectors. In this landscape, data analysts assume a pivotal role, tasked with interpreting data to drive informed decision-making.

Statistics 52

Statistics Data mining Visualization Reporting 52

IBM Big Data Hub

JULY 26, 2023

The twin will continuously collect data from the physical asset and use predictive analytics and machine learning (ML) algorithms to predict future performance. By constantly monitoring equipment performance and comparing it to virtual counterparts, operators can predict potential failures or breakdowns.

Technology 55

Technology Cost-Benefit Optimization Internet of Things 55

Smarten

NOVEMBER 8, 2022

“By the end of this course, participants will understand the role and value of Citizen Data Scientists and the benefits to the organization, as well as the integration points and cultural shifts that will position analytical professionals and Citizen Data Scientists to work more productively,” Patel says.

Business Intelligence 52

Business Intelligence Predictive Modeling Statistics Data-driven 52

Andrew White

JANUARY 11, 2021

Note: Delivery of data, analytics solutions and the sustainment of technology, data and services is a question. Do you have an example of how an organization improved data literacy in a really practical useful way? Storytelling is a nice one to use early on to test the approach. Governance. Product Management.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52