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

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

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

FineReport

JUNE 7, 2024

FineReport : Enterprise-Level Reporting and Dashboard Software Try FineReport Now In 2024, FanRuan continues to push boundaries with groundbreaking advancements in AI-driven analytics and real-time data analytics processing. Elevate your data transformation journey with Dataiku’s comprehensive suite of solutions.

Visualization 52

Visualization Predictive Analytics Dashboards Predictive Modeling 52

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

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

Decision Management Solutions

JULY 16, 2020

Everyone it seems wants to be an analytic enterprise. But what does it mean to be an analytic enterprise? An analytic enterprise applies analytics deeply and broadly. It uses analytics to solve its most critical run-the-business problems.

Enterprise 87

Enterprise Analytics Strategy Analytics Technologies 87

CIO Business Intelligence

MARCH 11, 2024

“Vendors that take in filtered data or offload key processing of raw data leave customers without complete insights and a limited ability to act before business issues arise,” according to a recent Forrester Wave™ report. According to the report, “Reference customers raved about how easy it was to integrate data sources.

IT 90

IT Digital Transformation Reporting Predictive Analytics 90

CIO Business Intelligence

JUNE 7, 2022

The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. Data analytics has become increasingly important in the enterprise as a means for analyzing and shaping business processes and improving decision-making and business results.

Data Analytics 126

Data Analytics Diagnostic Analytics Management Analytics 126

CIO Business Intelligence

MARCH 5, 2024

“Vendors that take in filtered data or offload key processing of raw data leave customers without complete insights and a limited ability to act before business issues arise,” according to a recent Forrester Wave™ report. Discovery : The platform includes accurate, enterprise-grade automatic discovery of assets and their relationships.

IT 64

IT Digital Transformation Predictive Analytics Reporting 64

Cloudera

JULY 18, 2018

Now organizations can reap all the benefits of having an enterprise data lake, in addition to an advanced analytics solution enabling them to put machine learning and AI into action at massive scale to improve health outcomes for individuals and entire populations alike.

Machine Learning 50

Machine Learning Predictive Analytics Analytics Prescriptive Analytics 50

CIO Business Intelligence

APRIL 30, 2024

Enterprises are moving computing resources closer to where data is created, making edge locations ideal for not only collecting and aggregating local data but also for consuming it as input for generative processes. billion in 2027 with a compound annual growth rate (CAGR) of 86.1% over the 2023-2027 forecast period 1. over 2023 2.

Forecasting 88

Forecasting Optimization Advertising IoT 88

BizAcuity

APRIL 1, 2023

AML regulations and procedures help organizations identify, monitor, and report suspicious transactions and provide an additional layer of protection against financial crime. There are primarily two underlying techniques that can be leveraged for AML initiatives- Exploratory Data Analysis and Predictive analytics.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

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 108

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 108

BizAcuity

JANUARY 18, 2023

AML regulations and procedures help organizations identify, monitor, and report suspicious transactions and provide an additional layer of protection against financial crime. There are primarily two underlying techniques that can be leveraged for AML initiatives- Exploratory Data Analysis and Predictive analytics.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

CIO Business Intelligence

OCTOBER 13, 2023

The data architect is responsible for visualizing and designing an organization’s enterprise data management framework. They often report to data infrastructure and data science leads. Data architects and data engineers work together to visualize and build the enterprise data management framework.

Data Architecture 125

Data Architecture Data Warehouse Statistics Visualization 125

CIO Business Intelligence

MAY 8, 2024

AI-powered data integration tools leverage advanced algorithms and predictive analytics to automate and streamline the data integration process. According to a recent report by InformationWeek , enterprises with a strong AI strategy are 3 times more likely to report above-average data integration success.

Data Integration 74

Data Integration IoT Cost-Benefit Data Quality 74

IBM Big Data Hub

JUNE 23, 2023

Perhaps you are using a next-gen Enterprise Resource Planning (ERP) system and an unmatched F&A planning platform that delivers advanced predictive analytics. But now you’re tasked with driving enterprise-wide growth and driving digital transformation to help ensure your organization achieves operational excellence.

Finance 52

Finance Reporting Digital Transformation Interactive 52

Smarten

NOVEMBER 2, 2023

Look for a solution with Smart Data Visualization, Assisted Predictive Analytics with Natural Language Processing (NLP) search analytics, Self-Serve Data Preparation and flexible Mobile BI for users on the road and working remotely.

Predictive Analytics 67

Predictive Analytics Analytics Visualization Reporting 67

Smarten

JUNE 29, 2018

’ ARIMAX is related to the ARIMA technique but, while ARIMA is suitable for datasets that are univariate (see the article, entitled’ What is ARIMA Forecasting and How Can it Be Used for Enterprise Analysis?’). How Can ARIMAX Forecasting Be Used for Enterprise Analysis?

Forecasting 40

Forecasting Enterprise IT Business Intelligence 40

Smart Data Collective

JUNE 16, 2022

Over 70% of global businesses use some form of analytics. This is an important year for enterprises keeping in view that most global industries are recovering from the pandemic horror, and the era of web 3.0 They are using analytics to help drive business growth. is at the doorstep. Extract Value From Customer.

Business Analytics 123

Business Analytics Analytics Forecasting Business Analysis 123

FineReport

AUGUST 18, 2020

The traditional deployment model (on-premise) is still the main choice of enterprises, and enterprises prefer to hold core data information inside the enterprise. And the market share of advanced analytics and predictive analytics accounted for 21.0%. .

Business Intelligence 98

Business Intelligence Marketing Digital Transformation Software 98

CIO Business Intelligence

JUNE 7, 2024

Those investments come just as the company claims, in its 2023 annual report, that demand from corporate data centers in the US is expected to roughly double within the next three years as generative AI deployments expand. But with the addition of more renewable energy to its portfolio, weather uncertainty becomes a greater challenge for AES.

IT 117

IT Forecasting Machine Learning Modeling 117

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. It allows its users to extract actionable insights from their data in real-time with the help of predictive analytics and artificial intelligence technologies.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Smarten

SEPTEMBER 19, 2017

Plug n’ Play Predictive Analytics Solutions for Every Business User! Predictive analysis is very important to your organization. If you are to fully leverage predictive analytics, you must provide easy-to-use assisted predictive modeling tool. But, your market is no different than any other market.

Predictive Analytics 63

Predictive Analytics Predictive Modeling ROI Forecasting 63

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

CIO Business Intelligence

OCTOBER 4, 2022

New research co-authored by Marco Iansiti, the co-founder of the Digital Initiative at Harvard Business School, sheds further light on how a data platform with robust real-time capabilities contribute to delivering competitive, ML-driven experiences in large enterprises. Data architecture coherence. The study results don’t surprise us.

Machine Learning 97

Machine Learning Data Architecture Uncertainty Data-driven 97

CIO Business Intelligence

NOVEMBER 14, 2022

The concept of DSS grew out of research conducted at the Carnegie Institute of Technology in the 1950s and 1960s, but really took root in the enterprise in the 1980s in the form of executive information systems (EIS), group decision support systems (GDSS), and organizational decision support systems (ODSS). Data-driven DSS. Parmenides Edios.

Data mining 125

Data mining Data-driven Statistics OLAP 125

CIO Business Intelligence

JULY 5, 2022

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? This is the purview of BI.

Business Analytics 122

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 122

IBM Big Data Hub

JULY 27, 2022

Today, most enterprises use services from more than one Cloud Service Provider (CSP). IT is a critical part of every enterprise today, and even a small service outage directly affects the top line. Predictive analytics to show what will happen next. Prescriptive analytics to show how to achieve or prevent the prediction.

Prescriptive Analytics 93

Prescriptive Analytics Descriptive Analytics Data-driven Cost-Benefit 93

FineReport

APRIL 26, 2023

In this article, we will explore the importance of Big Data, why enterprises need Big Data tools, how to choose the right Big Data analytics tools and provide a list of the top 10 Big Data analytics tools available today. Why do Enterprises Need Big Data Tools? The most distinct is its reporting capabilities.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

CIO Business Intelligence

JUNE 16, 2022

Since those early inhouse iterations, BPM systems have evolved into excellent full-fleged platforms for tracking and fine-tuning everything that happens inside an organization, complete with a wide variety of interfaces for working with other standard enterprise systems such as accounting software or assembly line management systems.

Management 107

Management Insurance Software Digital Transformation 107

CIO Business Intelligence

DECEMBER 1, 2022

To date the company has moved 5,000 applications to Microsoft Azure as it applies predictive analytics , AI, robotics, and process automation in many of its business operations. These new skills enabled me to take on a new role where I am able to leverage advanced analytics to solve HR problems.” billion in revenue.

Digital Transformation 122

Digital Transformation IoT Data-driven KPI 122

Smarten

JUNE 26, 2018

How Can the ARIMA Forecasting Method Be Used for Enterprise Analysis? Business Problem: A pharmaceutical company wants to predict the sales of a drug for the next two months, based on drug sales data from the past 12 months. It converts non-stationary data to stationary to allow for a fairly constant level over time.

Forecasting 40

Forecasting Enterprise IT Sales 40

Cloudera

OCTOBER 4, 2023

On top of these core critical capabilities, we also need the following: Petabyte and larger scalability — particularly valuable in predictive analytics use cases where high granularity and deep histories are essential to training AI models to greater precision.

Data Warehouse 88

Data Warehouse Experimentation Cost-Benefit Dashboards 88

bridgei2i

APRIL 30, 2020

The April 2020 research report was led by analysts Ilona Hansen, Adnan Zijadic, Tad Travis, and Naresh Singh to evaluate vendors that are innovative and transformative. According to Gartner, the next generation of CRM sales technologies provides actionable analytics to fuel customers’ digital transformation journeys.

Sales 66

Sales Technology Diagnostic Analytics Contextual Data 66

FineReport

DECEMBER 23, 2019

In China’s business intelligence software sub-market, report analysis software is still the most important market demand at present, and its market share in the first half of 2019 was 72.8%. The market share of advanced analytics and predictive analytics accounted for 27.2%. ” 2.

Marketing 95

Marketing Business Intelligence Manufacturing Software 95