IBM Big Data Hub

SEPTEMBER 6, 2023

Budgeting, an essential pillar of financial planning for organizations, often presents a unique dilemma known as the “Budgeting Paradox.” This data helps us understand earlier trends and is vital for making a realistic budget. Obsolete data and financial projections A budget, at its core, is a financial forecast.

Forecasting 89

Forecasting Marketing Risk Sales 89

CIO Business Intelligence

JANUARY 19, 2024

Companies are increasingly eager to hire data professionals who can make sense of the wide array of data the business collects. The US Bureau of Labor Statistics (BLS) forecasts employment of data scientists will grow 35% from 2022 to 2032, with about 17,000 openings projected on average each year.

Data Science 126

Data Science Machine Learning Predictive Modeling Experimentation 126

CIO Business Intelligence

DECEMBER 11, 2023

For example, by tapping into real-time data with AI-enabled analytics, CFOs will be able to develop multiple scenarios for capital allocation, offering more forward-looking projections and more accurate forecasts. Learn more about how EXL can put generative AI to work for your business here.

Finance 105

Finance Forecasting IoT Predictive Modeling 105

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

BizAcuity

APRIL 6, 2022

We do see crypto as a sustainable revenue model but at the same time, we cannot ignore the fact that at present, cryptocurrencies are extremely volatile and a slump in crypto prices could affect casino revenue adversely. The post Data Analytics for Crypto Casinos: Significance and Challenges appeared first on BizAcuity Solutions Pvt.

Data Analytics 52

Data Analytics Analytics B2B Deep Learning 52

Corinium

JUNE 6, 2019

present a significant barrier to adoption of the latest and greatest approaches. In summary, Insurance carriers and brokers will need to ensure a sound data foundation and a smart use of the cloud to harness the value of the large amounts of disparate types of data. In addition, the traditional challenges remain.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

Smarten

MARCH 7, 2024

While none of these is considered ‘new’ in the market today, the combination of essential components and the leveraging of new technologies and features is key to keeping augmented analytics fresh and usable for the average business user.

Analytics 67

Analytics Predictive Modeling Machine Learning Visualization 67

Jen Stirrup

APRIL 16, 2024

The Green Hydrogen Summit, hosted in Abu Dhabi by Masdar, kicked off this year with a significant focus on Artificial Intelligence and data to advance the green hydrogen economy for a sustainable energy transition. There is a significant focus on Artificial Intelligence and data and its potential. Let’s keep momentum going!

Data Processing 58

Data Processing Data-driven Optimization Forecasting 58

CIO Business Intelligence

JULY 5, 2022

What are the benefits of business analytics? What is the difference between business analytics and data analytics? Business analytics is a subset of data analytics. Descriptive analytics uses historical and current data to describe the organization’s present state by identifying trends and patterns.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

CIO Business Intelligence

FEBRUARY 10, 2023

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. Energy: Forecast long-term price and demand ratios.

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

O'Reilly on Data

FEBRUARY 11, 2019

Many companies are just beginning to address the interplay between their suite of AI, big data, and cloud technologies. I’ll also highlight some interesting uses cases and applications of data, analytics, and machine learning. Temporal data and time-series analytics. Graph technologies and analytics.

Big Data 209

Big Data Technology Machine Learning Deep Learning 209

AWS Big Data

APRIL 26, 2023

The main requirement is to have an automated, transparent, and long-term semiconductor demand forecast. Additionally, this forecasting system needs to provide data enrichment steps including byproducts, serve as the master data around the semiconductor management, and enable further use cases at the BMW Group.

Forecasting 122

Forecasting Manufacturing Data Lake Big Data 122

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

CIO Business Intelligence

SEPTEMBER 22, 2022

This echoes some existing sentiment, especially around D&I, for instance, but the discipline of success lies in not only thinking 10 years ahead but also walking it back to the present to account for progress—a model that has given the IFTF a consistent track record of successfully forecasting futures. “I

Uncertainty 111

Uncertainty Forecasting Visualization Big Data 111

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. By analyzing historical demand, they can forecast the inventory level they will need and avoid having high levels of unsold products.

Metrics 217

Metrics KPI Management Cost-Benefit 217

IBM Big Data Hub

NOVEMBER 29, 2023

This helps ensure that insights derived from historical data, through the training of machine learning models (ML models), are practical and applicable in the present. This knowledge is not static and new event data helps to evolve our latest knowledge with each interaction, to help guide decision-making and intervention.

Unstructured Data 91

Unstructured Data Data-driven ROI Machine Learning 91

IBM Big Data Hub

OCTOBER 30, 2023

Adopting AI in business at scale is not without its challenges, including data privacy concerns, integration complexities and the need for skilled personnel. Scaling AI in business presents unique challenges: Data accessibility : Fragmented and siloed data stifle advancement.

Insurance 84

Insurance Data Warehouse Data-driven Unstructured Data 84

bridgei2i

JULY 14, 2021

Four Reasons Why Retail Analytics Solutions Are Important. The sales of goods and services are primarily dependent on the present demands and requirements of the customers, and their behavior exerts a significant impact on trends in retail. Retail analytics aids in forecasting and planning for future demands.

Analytics 52

Analytics Behavioral Analytics Forecasting Sales 52

Smart Data Collective

MARCH 8, 2021

According to a forecast by IDC and Seagate Technology, the global data sphere will grow more than fivefold in the next seven years. The total amount of new data will increase to 175 zettabytes by 2025 , up from 33 zettabytes in 2018. This ever-growing volume of information has given rise to the concept of big data.

Big Data 143

Big Data Management Predictive Analytics Statistics 143

datapine

MARCH 31, 2022

To simplify things, you can think of back-end BI skills as more technical in nature and related to building BI platforms, like online data visualization tools. Front-end analytical and business intelligence skills are geared more towards presenting and communicating data to others.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

datapine

OCTOBER 21, 2020

Big data has changed the way we manage, analyze, and leverage data across industries. One of the most notable areas where data analytics is making big changes is healthcare. The application of big data analytics in healthcare has a lot of positive and also life-saving outcomes. 3) Real-Time Alerting.

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

Smart Data Collective

APRIL 14, 2021

The proper use of business intelligence and analytical data is what drives big brands in a competitive market. Business intelligence is simply a tool, computer software, and practice used to collect, integrate, analyze, and present raw business data that can be used to create actionable and informative business data.

Business Intelligence 132

Business Intelligence Dashboards Visualization Big Data 132

Smart Data Collective

JUNE 15, 2022

Following is a detailed look at some of the benefits of taking a data-driven approach in a retail business. Forecast customer behavior. Consumer data gives you a glimpse into future customer behavior by allowing you to examine it for trends. This may include purchase history, customer habits, and other crucial data points.

Advertising 97

Advertising Cost-Benefit ROI Sales 97

Smart Data Collective

NOVEMBER 24, 2020

A growing number of new tools rely on data analytics to promote better communication between organizational stakeholders. Using these analytics tools, you can easily manage inventory, forecast sales, calculate taxes, and monitor order fulfillment.

Business Intelligence 114

Business Intelligence Big Data Cost-Benefit Forecasting 114

datapine

JUNE 5, 2019

As mentioned earlier, a data dashboard has the ability to answer a host of business-related questions based on your specific goals, aims, and strategies. When presenting data and communicating insights, it is important to create a dialogue – no one likes being preached throughout a whole presentation. Not pretty.

Dashboards 316

Dashboards KPI Sales Visualization 316

CIO Business Intelligence

JUNE 13, 2022

Although NLP is undeniably useful with its ability to compute words and text, the complexity of human language presents serious challenges. Juniper Research forecasts that in 2023 the global operational cost savings from chatbots in banking will reach $7.3 Intel® Technologies Move Analytics Forward.

Data Processing 105

Data Processing Deep Learning Insurance Cost-Benefit 105

AWS Big Data

MAY 31, 2023

In this post, we discuss how we use QuickSight to deliver powerful HR analytics to over 3,000 customers and 43,000 users while forecasting savings of 84% year-over-year as compared to our legacy reporting solutions. I typically spend hours creating slides, and this is the content—right here, ready to screenshot for my presentations!”

Slice and Dice 74

Slice and Dice Analytics Dashboards IT 74

Smart Data Collective

SEPTEMBER 16, 2022

Valarie Romero of the Arizona Telehealth Program shared a list of five ways that big data contributes to advances in telemedicine. Some of the ways that big data is driving advances in telemedicine include the following: They can evaluate data from IoT devices and use it to forecast healthcare trends and identify individual patient needs.

Big Data 109

Big Data Cost-Benefit IoT Consulting 109

Sisense

JANUARY 8, 2021

Forecasting and modeling business costs. Shyp was an ingenious service app that failed for a number of reasons , but one of those reasons could have been fixed easily with data insights. Data analytics and the competitive future.

Cost-Benefit 98

Cost-Benefit Forecasting Data Lake Data-driven 98

datapine

AUGUST 21, 2019

From sales performance and targets through to customer acquisition costs, sales cycle, and beyond — here, we’ll present sales graphs and charts that matter to the ongoing growth of your business, in turn considering the essential question, what type of charts are used for sales? 2) Sales Target (Actual Revenue vs Forecasted Revenue).

Sales 235

Sales Dashboards KPI Visualization 235

Smart Data Collective

FEBRUARY 24, 2021

Presently, over 2,600 operational satellites are orbiting Earth, with various revisit times. Current data allows checking what is going on our planet now and making proper decisions. GIS-based weather forecasts are among the most common applications used by state and private businesses as well as ordinary people.

Big Data 101

Big Data Cost-Benefit Data-driven Software 101

Sisense

MARCH 14, 2021

However, when investigating big data from the perspective of computer science research, we happily discover much clearer use of this cluster of confusing concepts. As we move from right to left in the diagram, from big data to BI, we notice that unstructured data transforms into structured data.

Big Data 52

Big Data IoT Data Warehouse Data-driven 52

Sisense

JANUARY 22, 2021

Actionable insights have a special connotation in the field of data analytics: An algorithm evaluates a vast data store and effectively advises a human agent on the best action to take. Turning data into actionable insights is where BI and data analytics platforms like Sisense shine.

Machine Learning 52

Machine Learning Unstructured Data Forecasting Advertising 52

erwin

JUNE 11, 2020

Aside from these, these data intelligence tools also provide healthcare institutions with an encompassing view of the hospital and care critical data that hospitals can use to improve the quality and level of service and increase their economic efficiency. Expanding big data.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

IBM Big Data Hub

JULY 6, 2023

It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming.

Machine Learning 58

Machine Learning Data Science Statistics Deep Learning 58

Smarten

NOVEMBER 22, 2019

Data Literacy means that your team members have the ability to read, work with and understand, analyze, present and make decisions using data. They do not have to grasp and use algorithms and analytical techniques at a technical level.

Predictive Modeling 67

Predictive Modeling Data-driven Forecasting Visualization 67

Jet Global

AUGUST 14, 2020

Other factors include the strategic need to integrate tax forecasts for different scenarios within financial plans. Tax needs to consider innovative ways to collect and process financial data, moving away from manual manipulation and reconciliation to more forward-thinking analytics for real-time decision-making.”.

Data-driven 98

Data-driven Forecasting Reporting Technology 98