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

Cloudera

AUGUST 3, 2021

January 2020 is a distant memory, but for most, the early days of the pandemic was a time that will be ingrained in memories for decades, if not generations. Consider that e-commerce’s acceleration due to the pandemic saw retailers’ digital sales penetration realize 10 years of growth in just the first three months of 2020 alone. .

Analytics 111

Analytics Digital Transformation Forecasting Risk 111

Smart Data Collective

OCTOBER 19, 2021

As a result of yield farming, the DeFi industry, which is still in its infancy, expects its market valuation to rise to $10 billion by 2020. New developments in data analytics and machine learning have helped accelerate this growth. The evolution of data analytics technology has played a huge role in this process.

Data Analytics 130

Data Analytics Analytics Big Data ROI 130

CIO Business Intelligence

NOVEMBER 13, 2023

The growth rate for online purchases spiked to 32% in 2020 and has continued to grow by double digits since then. Advanced inventory management systems using real-time updates and predictive analytics derived from edge data allow you to forecast demand more accurately, optimize stock allocation, and minimize stock-outs across all channels.

Cost-Benefit 131

Cost-Benefit Sales Data-driven Statistics 131

Smart Data Collective

MARCH 2, 2023

One survey from March 2020 showed that 67% of small businesses spend at least $10,000 every year on data analytics technology. Predictive analytics technology can help companies forecast demand One of the biggest challenges businesses face in any economy is predicting demand for their products or services.

Big Data 105

Big Data Uncertainty Risk Data mining 105

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

datapine

JUNE 15, 2023

This time, including valuable forecasts for costs and income. Each of these KPIs is tracked in its actual value, its forecast value, and the absolute difference in number and percentage. For instance, we can observe that the net profit has the highest variance from the actual to the forecasted value.

Reporting 207

Reporting Dashboards Cost-Benefit Sales 207

Cloudera

JANUARY 20, 2021

Consider that Manufacturing’s Industry Internet of Things (IIOT) was valued at $161b with an impressive 25% growth rate, the Connected Car market will be valued at $225b by 2027 with a 17% growth rate, or that in the first three months of 2020, retailers realized ten years of digital sales penetration in just three months.

Digital Transformation 110

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 110

Jedox

JUNE 25, 2020

Forecasts are unreliable and quickly become outdated due to rapid changes and complexity of markets. For this, modern planning software together with artificial intelligence-based (AI-based) predictive analytics can provide important support by evaluating historical data to derive forecasts for further development.

Technology 94

Technology Finance Cost-Benefit Forecasting 94

datapine

JUNE 5, 2019

According to the EMC Digital Universe study, by 2020, around 40 trillion megabytes – or 40 zettabytes – will exist in our digital landscape. Forecasting: As dashboards are equipped with predictive analytics , it’s possible to spot trends and patterns that will help you develop initiatives and make preparations for future business success.

Dashboards 316

Dashboards KPI Sales Visualization 316

Smart Data Collective

MAY 11, 2023

Therefore, it should be no surprise that the market for data analytics is growing at a rate of nearly 23% a year after being worth $744 billion in 2020. Predictive analytics and other big data tools help distinguish between legitimate and fraudulent transactions.

Data mining 116

Data mining Big Data Sales Cost-Benefit 116

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. . Jump start your journey with AMPs.

Visualization 91

Visualization Machine Learning Predictive Analytics Data-driven 91

DataRobot Blog

JANUARY 29, 2020

World Economic Forum’s 2020 Future of Jobs report continues to forecast a bright outlook for Data, AI, and Cloud Computing professionals. by Jen Underwood. The Jobs of Tomorrow: Mapping Opportunity in the New. Read More.

Forecasting 61

Forecasting Reporting Predictive Analytics Data Science 61

Smart Data Collective

JULY 2, 2019

Most forecasts indicate that it is going to increase. A World Energy Outlook report concludes that global wind energy capacity will increase between 2014 (762 TWh) and 2020 by 85% to about 1,400 TWh. Between 2020 and 2025, it will increase again by 43%, reaching almost 2,000 TWh.

Data Analytics 96

Data Analytics Internet of Things Analytics Big Data 96

Smart Data Collective

DECEMBER 5, 2019

Predictive analytics will be used much more in airline marketing in the months to come. These systems have been heralded by many for their ability to forecast demand, allowing airlines to manage the availability of inventory, a.k.a. Is Machine Learning Truly Helping Airlines? The answer to that question is not straightforward.

Machine Learning 94

Machine Learning Cost-Benefit Strategy Insurance 94

Jedox

JANUARY 16, 2019

1: Predictive Analytics. The progression from descriptive to diagnostic to predictive analytics will continue to accelerate. This also has the additional benefit of moving the FP&A function further up both the analytical intelligence and value creation curves. 3: Dynamic Planning, Budgeting and Forecasting.

Finance 45

Finance Forecasting Predictive Analytics Cost-Benefit 45

Jedox

JULY 17, 2018

According to Forrester’s 2018 predictions for AI*, 70% of enterprise expect to implement AI over the next 12 months. And by 2020, Gartner says AI technologies will be virtually pervasive in almost every new software product and service**. Forbes 2018, 10 Predictions For AI, Big Data, And Analytics in 2018.

Machine Learning 47

Machine Learning Technology Digital Transformation Predictive Analytics 47

Birst BI

FEBRUARY 13, 2018

Constellation Research predicts that by 2020, 60 percent of mission-critical data will be accessed, rather than owned by enterprises – with external sources including SaaS, social networks, third-party enrichment data and partner information. Data-management capabilities, including data integration and self-service data preparation.

Business Intelligence 66

Business Intelligence Diagnostic Analytics Analytics Visualization 66

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 55

Optimization Forecasting Data-driven Statistics 55

bridgei2i

JULY 8, 2020

In the short run, this means they have to get their demand forecast right. Now, how do you use signals from a pre-COVID world to predict a post-COVID demand scenario? 2020 will long be remembered for the pandemic that wreaked havoc on the global economy and disrupted communities and businesses in unprecedented ways.

Digital Transformation 132

Digital Transformation Enterprise Insurance Risk 132

Smarten

JANUARY 24, 2019

AutoML comes into play as business users leverage systems and solutions that are designed with Machine Learning capabilities to predict outcomes and analyze data. Take for example, the task of performing predictive analytics.

Machine Learning 40

Machine Learning Predictive Modeling Predictive Analytics Forecasting 40

Jet Global

NOVEMBER 8, 2021

Naturally, finance teams play a lead role in planning and budgeting, setting meaningful targets for the organization, and in forecasting likely outcomes based on current conditions. In 2020, many organizations implemented automation as a matter of necessity. Building a Strong Technology Foundation.

Finance 52

Finance Predictive Analytics Reporting Uncertainty 52

Birst BI

AUGUST 23, 2018

For example, there are a plethora of software tools available to automatically develop predictive models from relational data, and according to Gartner, “By 2020, more than 40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists.” [1]

Machine Learning 73

Machine Learning Data Science Testing Metrics 73

Jedox

OCTOBER 8, 2020

Join me on Thursday, October 29, 2020 at 1:15pm ET for a webinar where we’ll discuss in more depth what The New Normal for FP&A looks like and the lessons learned in this process. The post The New Normal for FP&A: Scenario Planning appeared first on Jedox.

Uncertainty 75

Uncertainty Cost-Benefit Unstructured Data Data-driven 75

Domino Data Lab

JUNE 2, 2019

More near-term, Kahneman suggested the use of pre-mortems – also called backcasting, as a contrapositive of forecasting. See you at Rev 3 in 2020! Addressing cognitive bias with pre-mortems. That may take a while. It’s a way of leveraging human cognitive biases to produce tangible results. Upcoming events.

Data Science 110

Data Science Data-driven Machine Learning Modeling 110

Andrew White

JANUARY 11, 2021

On end user clients calls, are you hearing a greater focus on use cases and greater need for prescriptive analytics, ex marketing analytics, sales analytics, healthcare, etc. Yes, prescriptive and predictive analytics remain very popular with clients. As defined in: Hype Cycle for Artificial Intelligence, 2020.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Smart Data Collective

AUGUST 31, 2020

Predictive analytics models have proven to be remarkably effective with the stock futures market. One company that uses big data to forecast stock prices has found that its algorithms outperform similar forecasts by 26%. O’Neill wrote about a system with seven factors that he uses to forecast the prices of various assets.

Big Data 103

Big Data Forecasting Machine Learning Marketing 103

Smart Data Collective

MAY 19, 2021

They are exploring the wonders of AI and predictive analytics to drive these changes. As a result, it evolved to account for 11% of total energy consumption levels in the US, with this ratio having increased further through 2020. One of the ways that companies are using data analytics is to identify market growth opportunities.

Data Analytics 96

Data Analytics Analytics Big Data Predictive Analytics 96

Jet Global

JUNE 18, 2019

quintillion bytes of data are currently created every single day—and it’s estimated that by 2020, 1.7MB of data will be created every second for every person on earth. Health data is being used to improve patient wait times, shorten hospital visits, and apply predictive analytics to at-risk patients with complex medical histories.

Big Data 75

Big Data Software Data Analytics Analytics 75

Jet Global

OCTOBER 3, 2019

quintillion bytes of data are currently created every single day—and it’s estimated that by 2020, 1.7MB of data will be created every second for every person on earth. Health data is being used to improve patient wait times, shorten hospital visits, and apply predictive analytics to at-risk patients with complex medical histories.

Big Data 53

Big Data Software Data Analytics Analytics 53

Jet Global

FEBRUARY 6, 2025

With widely used versions like Crystal Reports 2016 and its server editions anticipating losing support on December 31, 2027, and Crystal Reports 2020 scheduled to end support by 2026, you’re left with limited time to determine how to move forward without disruptions to your business intelligence workflows. So, what are your options?

Reporting 52

Reporting Software Business Intelligence Operational Reporting 52

Jet Global

MAY 1, 2023

In a recent study by Mordor Intelligence , financial services, IT/telecom, and healthcare were tagged as leading industries in the use of embedded analytics. Healthcare is forecasted for significant growth in the near future. Diagnostic Analytics: No longer just describing. Predictive Analytics: If x, then y (e.g.,

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Smart Data Collective

APRIL 22, 2020

In March 2020, a team of researchers from Tsinghua University, the Jiangsu Provincial Center for Disease Control and the Shanghai Institute of Materia Medica announced they had found a promising vaccine candidate for COVID-19. Estimating Real-Time Spread and Forecasting Future Spread.

Big Data 140

Big Data Machine Learning Risk Interactive 140

Jet Global

MAY 4, 2021

To make matters more confusing, SAP released an alternate version of this product in 2020 called SAP Analysis for Office Edition for SAP Analytics Cloud (SAC). As such, it is poorly suited to the type of basic analytical tasks associated with a month-end closing.

Reporting 52

Reporting IT Finance Data Warehouse 52