Rocket-Powered Data Science

MARCH 19, 2021

The determination of winners and losers in the data analytics space is a much more dynamic proposition than it ever has been. But more significant has been the acceleration in the number of dynamic, real-time data sources and corresponding dynamic, real-time analytics applications. Well, that statement was made five years ago!

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

Analytics Vidhya

OCTOBER 9, 2020

The post 35 Classic Excel Hacks, Tips and Tricks for Analytics Professionals on Excel’s 35th Birthday! appeared first on Analytics Vidhya. Overview Microsoft Excel hacks, tips and tricks help make you a better analyst On Excel’s 35th birthday, we present 35 hacks, tips, and tricks.

Analytics 306

Analytics Forecasting Business Analytics 306

IBM Big Data Hub

APRIL 26, 2023

Efficient management of an incredibly complex supply chain Jabil is a longtime partner and IBM Business Analytics (BA) portfolio user. Switching to IBM Business Analytics gave Jabil the ability to gather and structure data in a centralized approach for management.

Business Analytics 76

Business Analytics Reporting Analytics Finance 76

CIO Business Intelligence

JUNE 7, 2022

What is data analytics? Data analytics is a discipline focused on extracting insights from data. The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. What are the four types of data analytics?

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

datapine

MAY 16, 2019

Exclusive Bonus Content: Ready to use data analytics in your restaurant? In a previous study into big data examples in real life, we explored how the catering industry could benefit from the use of restaurants analytics – a topic that we’re going to delve deeper into here. What Are Restaurant Analytics?

Analytics 163

Analytics Predictive Analytics Advertising Dashboards 163

Smart Data Collective

DECEMBER 17, 2023

Analytics technology has seriously disrupted the manufacturing industry over the last decade. According to Mordor Intelligence, the market for analytics in manufacturing will be worth $19.5 There are a number of ways that analytics has helped manufacturing companies improve their bottom line. billion by 2028.

Manufacturing 119

Manufacturing Analytics Forecasting Analytics Technologies 119

Jet Global

JULY 11, 2019

With major advances being made in artificial intelligence and machine learning, businesses are investing heavily in advanced analytics to get ahead of the competition and increase their bottom line. We’ll explain what it is, how it works, and ways to start using demand forecasting with business intelligence software.

Business Intelligence 72

Business Intelligence Forecasting Predictive Analytics Data Warehouse 72

IBM Big Data Hub

NOVEMBER 2, 2022

Most recently we held an event at the IBM Data and AI Forum in Germany ( available on demand here ) where we shared the latest news in our business analytics portfolio. This suite of solutions helps transform the way clients can access, manage and consume business insights. IBM Planning Analytics as-a-Service on AWS.

Data-driven 60

Data-driven Business Analytics Analytics Forecasting 60

IBM Big Data Hub

SEPTEMBER 30, 2022

That’s where business analytics comes in. What is IBM Business Analytics? IBM is helping clients successfully navigate the age of the unexpected with IBM Business Analytics , an enterprise-grade, trusted, scalable and integrated analytics solution portfolio. The benefits of business analytics.

Business Analytics 52

Business Analytics Analytics Prescriptive Analytics Forecasting 52

IBM Big Data Hub

MAY 12, 2022

The IBM Data and AI team has seen organizations saddled with data and analytics spread across the organizations accessible to only a certain set of users. This results in the needed analytics being siloed and underutilized by decision makers who could benefit from this data and content…if they only knew it existed and was accessible.

Business Analytics 56

Business Analytics Analytics Recreation/Entertainment Cost-Benefit 56

Smart Data Collective

OCTOBER 31, 2021

Analytics technology is incredibly important in almost every facet of business. Virtually every industry has found some ways to utilize analytics technology, but some are relying on it more than others. The e-commerce sector is among those that has relied most heavily on analytics technology.

Analytics 133

Analytics Data mining Analytics Technologies Predictive Analytics 133

datapine

AUGUST 14, 2019

Companies surely need data scientists to help them empower their analytics processes, build a numbers-based strategy that will boost their bottom line, and ensure that enormous amounts of data are translated into actionable insights. But being an inquisitive Sherlock Holmes of data is no easy task. Source: RStudio.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Sisense

APRIL 6, 2020

“From new regulations to fluctuations in demand and remote work, business leaders must face this new economic reality by addressing three distinct challenges with clarity: tracking rapidly changing circumstances, responding to volatility in both supply and demand, and maintaining a clear picture of business performance.”.

Analytics 98

Analytics Dashboards KPI Data-driven 98

BizAcuity

AUGUST 26, 2019

This is what makes the casino industry a great use case for prescriptive analytics technologies and applications. The need for prescriptive analytics. Prescriptive analytics is the area of business analytics (BA) dedicated to finding the best course of action for a given situation. Image source: [link].

Prescriptive Analytics 74

Prescriptive Analytics Analytics Descriptive Analytics Predictive Analytics 74

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. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

Smarten

SEPTEMBER 14, 2018

You can’t get a business loan, join with a business partner, successfully bid on a project, open a new location, hire the right employees or plan for the future without predictive analytics. And, with Assisted Predictive Modeling , you can make these tasks even easier.

Predictive Modeling 40

Predictive Modeling Business Analytics Modeling Analytics 40

BizAcuity

FEBRUARY 22, 2019

Financial Analytics – An Outlook. In today’s world of competitive businesses, analytics is an essential part of staying competitive especially in this digital era where data is omnipresent. Financial analytics is becoming an important and inherent part of software applications that are being used by event industry.

Analytics 75

Analytics Cost-Benefit Finance Sales 75

IBM Big Data Hub

SEPTEMBER 21, 2022

My journey with IBM Planning Analytics started with an early morning phone call to tell me that a member of my team had died, suddenly and unexpectedly. Our teams relied heavily on his decades of expertise to help us plan and forecast strategically for the future. It’s often hard for leaders to see the value in analytical tools.

Analytics 56

Analytics Forecasting Risk Data-driven 56

CIO Business Intelligence

OCTOBER 6, 2023

What is a business analyst? Business analysts (BAs) are responsible for bridging the gap between IT and the business using data analytics to assess processes, determine requirements, and deliver data-driven recommendations and reports to executives and stakeholders.

IT 128

IT Business Analysis Key Performance Indicator Cost-Benefit 128

Smarten

JUNE 27, 2018

This article provides a brief explanation of the SVM Classification method of analytics. SVM Classification Analysis can be used for many analytical tasks: Credit/Loan Approval Analysis – Given a list of client transactional attributes, a business can predict whether a client will default on a loan. Use Case – 1.

Business Analytics 40

Business Analytics Analytics IT Business Intelligence 40

Jet Global

OCTOBER 1, 2019

With major advances being made in artificial intelligence and machine learning, businesses are investing heavily in advanced analytics to get ahead of the competition and increase their bottom line. We’ll explain what it is, how it works, and ways to start using demand forecasting with business intelligence software.

Business Intelligence 40

Business Intelligence Forecasting Predictive Analytics Data Warehouse 40

Jen Stirrup

SEPTEMBER 19, 2019

360 Orlando and I’m presenting a workshop on From Business Intelligence to Business Analytics with the Microsoft Data Platform. Data becomes relevant for decision making when we start to use it properly, so this workshop will demonstrate the use of analytics for real-life use cases. Power BI and Marketing Data.

Business Analytics 40

Business Analytics Analytics Statistics Dashboards 40

Smarten

APRIL 18, 2019

Data analytics software used to be reserved for data scientists, analysts and IT staff but not today! Talk to any business colleague or pick up any technology analyst article and you will find plenty of discussion about the current use of data analytics tools and impressive predictions about the growth of this market.

Software 53

Software Data Analytics Analytics Forecasting 53

Smarten

JUNE 29, 2018

This article looks at the ARIMAX Forecasting method of analysis and how it can be used for business analysis. What is ARIMAX Forecasting? This method is suitable for forecasting when data is stationary/non stationary, and multivariate with any type of data pattern, i.e., level/trend /seasonality/cyclicity. About Smarten.

Forecasting 40

Forecasting Enterprise IT Business Intelligence 40

Smarten

JUNE 26, 2018

This article provides a brief explanation of the ARIMA method of analytical forecasting. What is ARIMA Forecasting? This analytical forecasting method is suitable for instances when data is stationary/non stationary and is univariate, with any type of data pattern, i.e., level/trend/seasonality/cyclicity.

Forecasting 40

Forecasting Enterprise IT Sales 40

Cloudera

JANUARY 5, 2021

In today’s retail environment, retailers realize that building demand forecasts simply based upon historical transaction, promo, and pricing data alone is not good enough. Retail supply chains are a recognized and proven source of ROI when data analytics are leveraged to improve forecast accuracy and product availability.

Forecasting 91

Forecasting Cost-Benefit Sales Unstructured Data 91

Jim Harris

MAY 12, 2015

A decade ago the phrase cloud-based analytics would have conjured images of meteorologists basing their weather forecasts on the analysis of data describing cloud formations and atmospheric movements. This is somewhat similar to the data and technology today’s meteorologists rely on for creating accurate weather forecasts.

Analytics 45

Analytics Forecasting Data-driven Measurement 45

IBM Big Data Hub

OCTOBER 5, 2022

IBM Planning Analytics, or TM1 as it used to be known, has always been a powerful upgrade from spreadsheets for all kinds of planning and reporting use cases, including financial planning and analysis (FP&A), sales & operations planning (S&OP), and many aspects of supply chain planning (SCP). Then, everything comes together.

Analytics 52

Analytics Forecasting Predictive Modeling Manufacturing 52

Smart Data Collective

NOVEMBER 25, 2019

More and more often, businesses are using data to drive their decisions — which makes cutting-edge analytics and business intelligence strategies one of the best advantages a company can have. Here are the six trends you should be aware of that will reshape business intelligence in 2020 and throughout the new decade.

Business Intelligence 132

Business Intelligence Predictive Analytics Data Collection Internet of Things 132

IBM Big Data Hub

OCTOBER 27, 2022

When Newcomp Analytics started working with chocolatier Lindt Canada more than 15 years ago to support their supply chain, Lindt had no full-time IT personnel for analytics. Lindt now has a team of 10, including a business intelligence (BI) manager and BI developer analysts.

Slice and Dice 52

Slice and Dice Analytics Sales Business Analytics 52

IBM Big Data Hub

OCTOBER 19, 2023

.” A comprehensive solution to maximize efficiency In Landmark Retail’s search for a capable, user-friendly solution, they turned to IBM® Planning Analytics. Unlike other competitive solutions that took 6–12 months, IBM Planning Analytics was able to perform a successful proof of concept within 8–10 weeks.

Forecasting 91

Forecasting Data-driven Business Analysis Sales 91

datapine

AUGUST 21, 2019

2) Sales Target (Actual Revenue vs Forecasted Revenue). A sales growth chart for perfecting small business analytics and large enterprise alike, looking to scale and remain relevant rather than sporadically making flurries of quick sales. 45% of today’s businesses run at least some of their big data workloads in the cloud.

Sales 235

Sales Dashboards Visualization KPI 235

Smart Data Collective

MAY 19, 2021

BI (Business Intelligence) systems exist to solve problems. This is a long and actively developing class of applications, which allow to take all business-relevant parameters and build analytical reports on them independently, instantly, and in any context. When business intelligence is needed?

Business Intelligence 126

Business Intelligence Sales Visualization Reporting 126

Smart Data Collective

FEBRUARY 2, 2021

However, some industries have more to benefit from Big Data than others and have reached impressive milestones because data science and data analytics have helped them streamline their operations. On the surface, the use of data analytics in hospitals and clinics offers an easy way to streamline operations and avoid human error.

Big Data 106

Big Data Recreation/Entertainment Cost-Benefit Finance 106

Jedox

MAY 7, 2021

For organizations already using Microsoft Power BI for their business analytics, implementing a modern planning solution that offers seamless integration with Microsoft 365 maximizes the value and insights from your existing Power BI investment.

Forecasting 69

Forecasting Data-driven Visualization Finance 69

Jet Global

JULY 21, 2021

Widely recognized in the industry, CALUMO earned top-rankings in the budgeting and planning technology, ease of use, product satisfaction, and additional categories highlighted in the Business Application Research Center’s (BARC) BI & Analytics Survey 21 , the largest annual survey of BI and analytics software users in the industry.

Finance 98

Finance Reporting Marketing Forecasting 98

datapine

NOVEMBER 11, 2021

1) Benefits Of Business Intelligence Software. 2) Top Business Intelligence Features. b) Analytics Features. For a few years now, Business Intelligence (BI) has helped companies to collect, analyze, monitor, and present their data in an efficient way to extract actionable insights that will ensure sustainable growth.

Business Intelligence 213

Business Intelligence Dashboards Interactive Visualization 213