Sisense

FEBRUARY 18, 2021

Sadly, many companies are stuck using outmoded analytics that give them static, historical reports that only describe what has already happened and are useless in planning for the future. Predictions like those, indeed predictive analytics itself, rely on a deep understanding of the past and present, expressed by data.

Predictive Analytics 66

Predictive Analytics Business Intelligence Analytics Manufacturing 66

Jedox

JANUARY 29, 2019

In today’s organizations, the role of financial controlling or FP&A is not only to provide financial insights so business partners can make better decisions, but it is also to lead the way towards a more mature use of analytics technology including predictive analytics for sales forecasting. Making AI Real (Part 2).

Predictive Analytics 41

Predictive Analytics Forecasting Sales Analytics 41

Smarten

NOVEMBER 14, 2017

Predictive Analytics for the Faint of Heart! Assisted Predictive Modeling , Predictive Analytics. They don’t want to have to try to unravel the complicated world of data analytics and be forced to choose forecasting techniques or predictive models. Leave it to the Software!

Predictive Analytics 64

Predictive Analytics Analytics Predictive Modeling Forecasting 64

Smart Data Collective

OCTOBER 6, 2023

There are a number of huge benefits of using data analytics to identify seasonal trends. Data Analyst Solomon Nyamson wrote an article on Linkedin pointing out that predictive analytics tools like Sarima have made it easier than ever to forecast retail sales due to seasonal changes. Inventory management is also key.

Management 116

Management Analytics Predictive Analytics Cost-Benefit 116

CIO Business Intelligence

APRIL 30, 2024

IDC forecast shows that enterprise spending (which includes GenAI software, as well as related infrastructure hardware and IT/business services), is expected to more than double in 2024 and reach $151.1 over the 2023-2027 forecast period 1. 1 IDC forecasts spending on GenAI solutions will double in 2024 and grow to $151.1

Forecasting 98

Forecasting Optimization Advertising IoT 98

Smart Data Collective

JANUARY 29, 2020

According to a recent report, they sent 3.7 This figure is a small fraction of the total number of taxpayers that the IRS has determined that have not reported their income fully. This should be a serious wakeup call for small businesses that erroneously reported their income. Forecasting future tax expenses.

Predictive Analytics 62

Predictive Analytics Data mining Analytics Big Data 62

Smarten

MARCH 18, 2019

Data Science and Predictive Analytics Made Simple! Imagine a world where data science and predictive analytics tools are created for business users! Contact Us if you want an Advanced Analytics Solution that will support business users and enhance business results.

Predictive Analytics 40

Predictive Analytics Visualization Software Analytics 40

Smarten

APRIL 17, 2018

Assistive Predictive Modeling allows business users to leverage a self-serve advanced analytical tool and to enjoy complex, sophisticated forecasting and business predictions in a simple, user-friendly dashboard environment – all without the skills of an analyst, data scientist or IT professional.

Predictive Analytics 40

Predictive Analytics Predictive Modeling Analytics Forecasting 40

Smarten

NOVEMBER 19, 2018

The process of predictive analytics has come far in the past decade. Today’s self-serve predictive analytics and forecasting tools are designed to support business users and data analysts alike. What is Predictive Analytics? Can Predictive Analytics Help You Achieve Business Objectives?

Business Objectives 40

Business Objectives Predictive Analytics Analytics Forecasting 40

CIO Business Intelligence

JANUARY 15, 2024

For some, the increases were dramatic — 15% of respondents reported more than 15%, and a further 28% reported increases between 5% and 15%. SAP draws on AI for new predictive capabilities SAP is targeting the desire for better demand forecasting with new composable tools being announced at NRF 2024.

Sales 105

Sales Software Forecasting Statistics 105

Smarten

DECEMBER 17, 2018

Tools like Assisted Predictive Modeling allow the average business user to become a Citizen Data Scientist with tools that offer guidance and auto-suggestions to help the user arrive at the outcome they need without being frustrated or having to call in an army of analysts and IT staff to help them complete their analysis.

Predictive Analytics 40

Predictive Analytics Predictive Modeling Analytics Statistics 40

Smarten

JULY 30, 2018

How Can Predictive Analysis Tools Help My Hospital or Healthcare Organization? Hospitals and healthcare systems are turning to predictive analytics tools to plan and forecast and understand what, when and how to support patients.

Predictive Analytics 40

Predictive Analytics Analytics Predictive Modeling Forecasting 40

CIO Business Intelligence

JUNE 7, 2022

Diagnostic analytics uses data (often generated via descriptive analytics) to discover the factors or reasons for past performance. Predictive analytics applies techniques such as statistical modeling, forecasting, and machine learning to the output of descriptive and diagnostic analytics to make predictions about future outcomes.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

CIO Business Intelligence

JULY 5, 2022

What are the benefits of business analytics? Descriptive analytics uses historical and current data to describe the organization’s present state by identifying trends and patterns. Predictive analytics: What is likely to happen in the future? Prescriptive analytics: What do we need to do?

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

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? Autoregressive Integrated Moving Average (ARIMA) predicts future values of a time series using a linear combination of its past values and a series of errors. p: to apply autoregressive model on series.

Forecasting 40

Forecasting Enterprise IT Sales 40

Smart Data Collective

JUNE 16, 2022

While we are at it, Gartner’s 2022 report on business composability further pushes the need for analytics. Predictive analytics have an unquestionable influence on drawing patterns around consumer behavior and their likelihood to either re-subscribe or discontinue the service. Extract Value From Customer. Conclusion.

Business Analytics 122

Business Analytics Analytics Forecasting Business Analysis 122

datapine

MARCH 31, 2022

For this purpose, you should be able to differentiate between various charts and report types as well as understand when and how to use them to benefit the BI process. They use advanced technologies such as machine learning models to generate predictions about future business performance.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Cloudera

APRIL 9, 2021

The third video in the series highlighted Reporting and Data Visualization. And this blog will focus on Predictive Analytics. Specifically, we’ll focus on training Machine Learning (ML) models to forecast ECC part production demand across all of its factories. Reporting – data warehousing & dashboarding.

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

Jedox

FEBRUARY 13, 2020

Pilot customers report their successful use of the Jedox AI engine. For controlling, this means using predictive analytics to produce more forward-looking analyses and increasingly decision-relevant forecasts instead of focusing on past tense reports. Automated sales forecast at Mitsui.

Forecasting 58

Forecasting Predictive Analytics Sales Data Integration 58

IBM Big Data Hub

JUNE 29, 2023

Integrated Business Planning (IBP) addresses these challenges by providing a comprehensive framework that integrates strategic, operational and financial planning, analysis, and reporting to drive better business outcomes. A retail company experiences a sudden surge in online sales due to a viral social media campaign.

Key Performance Indicator 86

Key Performance Indicator Forecasting Data Integration Sales 86

Smart Data Collective

AUGUST 16, 2019

Predictive analytics is changing the future of weather predictions. A growing number of meteorologists are using big data to make more reliable predictions. Mohammad Mahdi Kamani, a doctoral student and professor James Wang said that big data has simplified weather predictions. Accuweather.

Big Data 78

Big Data Forecasting Predictive Analytics Advertising 78

DataRobot

JULY 22, 2021

Enterprises can benefit from AI-driven demand forecasting, new product forecasting, reduced out-of-stock items, returns forecasting, and much more. One global retailer reported that machine learning led to $400 million in annual savings and a 9.5 percent improvement in forecasting accuracy. Updated forecasts.

Manufacturing 52

Manufacturing Forecasting Machine Learning Data-driven 52

Jet Global

APRIL 9, 2023

This means finance is saddled with providing timely planning, forecasting, and reporting that informs business decisions in the moment. Self-Service Related to this complexity, self-service reporting and analysis emerged as a priority for many organizations. Connected systems are only useful if the data is clean and consistent.

Finance 52

Finance Forecasting Predictive Analytics Data-driven 52

Jet Global

DECEMBER 8, 2022

Report from insightsoftware and Hanover Research reveals the gaps that need to be bridged to reach data fluency, noting challenges in data quality and connection. According to the report, the first hurdle for businesses is a lack of data quality. Almost the same number see consistency (38%), and accuracy (35%) as major challenges.

Data Quality 52

Data Quality Forecasting Data-driven Reporting 52

Jet Global

MAY 1, 2020

For 22% of finance functions analytics is merely “routine”, revolving around standardised ERP reporting with little effort to mine its analytic potential. The same reports are generated at the end of each month with little if any collaboration between business functions. Helpfully, the research sheds light on this too.

Finance 78

Finance Analytics Forecasting Reporting 78

Smart Data Collective

JULY 9, 2023

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

Optimization 73

Optimization Data Analytics Analytics Data-driven 73

Smart Data Collective

MARCH 29, 2021

It’s great to know what your customers have already done – what campaigns engage them and which they ignore, what they’ve already purchased, and so forth – but if you really want to outperform the competition, you need to think predictively. In recent years, though, there’s been significant growth in the use of predictive analytics.

Marketing 123

Marketing Metrics Descriptive Analytics Predictive Analytics 123

Smart Data Collective

JUNE 29, 2022

In addition to this, often the concept of a fintech application includes fast and automatic recognition for receipts, invoices, and other financial documents to enable accurate spending tracking, KYC/AML processes, reporting, and so on. Predictive Analytics. Predictive analytics is helpful not just for consumers.

Cost-Benefit 86

Cost-Benefit Predictive Analytics Finance Forecasting 86

CIO Business Intelligence

NOVEMBER 14, 2022

These systems include file drawer and management reporting systems, executive information systems, and geographic information systems (GIS). Forecasting models. BusinessObjects consists of reporting and analysis applications to help users understand trends and root causes. Data-driven DSS. Optimization analysis models.

Data mining 144

Data mining Data-driven Statistics OLAP 144

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 90

Forecasting Cost-Benefit Sales Unstructured Data 90

Smart Data Collective

JULY 28, 2022

Fortunately, new predictive analytics algorithms can make this easier. Last summer, a report by Deloitte showed that more CFOs are using predictive analytics technology. The evidence demonstrating the effectiveness of predictive analytics for forecasting prices of these securities has been relatively mixed.

Predictive Analytics 135

Predictive Analytics Analytics Forecasting Machine Learning 135

datapine

AUGUST 14, 2019

Data science tools are used for drilling down into complex data by extracting, processing, and analyzing structured or unstructured data to effectively generate useful information while combining computer science, statistics, predictive analytics, and deep learning. Source: mathworks.com.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

IBM Big Data Hub

AUGUST 7, 2023

This article, part of the IBM and Pfizer’s series on the application of AI techniques to improve clinical trial performance, focuses on enrollment and real-time forecasting. However, we have observed that greater value comes from employing ensemble methods to achieve more accurate and robust predictions.

Optimization 62

Optimization Forecasting Data-driven Strategy 62

Smart Data Collective

JANUARY 26, 2022

Usually, the legal space lacked the data to measure appropriately and report its findings. Increasingly, though, brands and businesses of all sizes expect their legal representatives to leverage and report out – data the same way as the rest of the company. What is Legal Analytics? Predictive analytics.

Data Analytics 72

Data Analytics Analytics Predictive Analytics Insurance 72

Smart Data Collective

OCTOBER 16, 2023

Financial data (invoices, transactions, billing data) and internal and external documents (reports, business letters, production plans, and so on) are examples of this. For example, predictive analytics detect unlawful trading and fraudulent transactions in the banking industry.

Big Data 102

Big Data IoT Cost-Benefit Advertising 102

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Digital Transformation 103

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 103