CIO Business Intelligence

JUNE 14, 2023

Data and big data analytics are the lifeblood of any successful business. Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications.

Big Data 124

Big Data Data Analytics Analytics Predictive Modeling 124

FineReport

MAY 31, 2023

This is where the significance of a financial dashboard shines through. In this article, we will explore the concept of a financial dashboard, highlight its numerous benefits, and provide various kinds of financial dashboard examples for you to employ and explore. What is A Financial Dashboard?

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

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 125

Data Analytics Diagnostic Analytics Management Analytics 125

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. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

FineReport

JUNE 7, 2024

Through different types of graphs and interactive dashboards , business insights are uncovered, enabling organizations to adapt quickly to market changes and seize opportunities. Innovations such as AI-driven analytics, interactive dashboards , and predictive modeling set these companies apart.

Visualization 52

Visualization Predictive Analytics Dashboards Predictive Modeling 52

AWS Big Data

MAY 31, 2023

In 2022, Trakstar launched what is now called Trakstar Insights, which unlocks new analytical insights for HR across the employee life cycle. It’s powered by Amazon QuickSight , a cloud-native business intelligence (BI) tool that enables embedded customized, interactive visuals and dashboards within the product experience.

Slice and Dice 73

Slice and Dice Analytics Dashboards IT 73

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. According to studies, 92% of data leaders say their businesses saw measurable value from their data and analytics investments.

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

IBM Big Data Hub

APRIL 14, 2023

They faced obstacles such as a prolonged budget process, manual forecasting, and no product profitability. To meet their specific needs, the experts at 1Direction Global, comprised of certified accountants and engineers, turned to IBM Planning Analytics for Watson, a flexible and powerful planning and analysis tool.

Forecasting 67

Forecasting Sales Dashboards Reporting 67

Sisense

JANUARY 26, 2020

In Moving Parts , we explore the unique data and analytics challenges manufacturing companies face every day. Building an accurate predictive analytics model isn’t easy. It’s a difficult process, but an effective predictive analytics engine is an enormous asset for any organization. Improve forecasts and maximize revenue.

Predictive Analytics 78

Predictive Analytics Manufacturing Analytics Forecasting 78

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).

Analytics 52

Analytics Forecasting Predictive Modeling Manufacturing 52

Timo Elliott

JANUARY 4, 2021

With advanced analytics, flexible dashboarding and effective data visualization, FP&A storytelling has become both an art and science. I’ve been working with planning and analytics teams for around 30 years, and my job was to talk about the technology aspects of storytelling, including the typical real-world barriers to success.

Dashboards 139

Dashboards Visualization Data-driven Forecasting 139

CIO Business Intelligence

NOVEMBER 14, 2022

A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. Bayer Crop Science has applied analytics and decision-support to every element of its business, including the creation of “virtual factories” to perform “what-if” analyses at its corn manufacturing sites.

Data mining 125

Data mining Data-driven Statistics OLAP 125

Jet Global

OCTOBER 7, 2021

The acquisition of this embedded BI solution provider further empowers software teams to deliver compelling self-service analytics to their users. A 2021 survey states that less than 60% of end-users are using even the most basic analytics capabilities. This announcement follows insightsoftware’s recent acquisition of Logi Analytics.

Marketing 95

Marketing Analytics Cost-Benefit Forecasting 95

Smarten

JUNE 10, 2022

Why You Need Both BI Tools and Augmented Analytics and What to Consider When Selecting a Vendor ! Social BI Tools that allow for sharing of data, alerts, dashboards and interactivity to support decisions, enable online communication and collaboration. Predictive Modeling to support business needs, forecast, and test theories.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

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. Descriptive Analytics is used to determine “what happened and why.” What is Big Data?

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Sisense

MARCH 24, 2020

We provide actionable advice around how organizations, and ultimately the builders of data and analytic apps, are adapting to meet these changes. They understood the need to maintain momentum in their analytics program in the face of an overwhelming crisis. One area they refused to cut, however, was their business intelligence program.

Analytics 94

Analytics Sales Forecasting Business Intelligence 94

Octopai

JUNE 9, 2024

The goal was to develop sophisticated data products, such as predictive analytics models to forecast patient needs, patient care optimization tools, and operational efficiency dashboards. Predictive analytics models became more accurate as they were based on trustworthy data flows.

IT 52

IT Data-driven Data Strategy Predictive Analytics 52

datapine

MARCH 31, 2022

Moreover, companies that use BI analytics are five times more likely to make swifter, more informed decisions. With analytical and business intelligence competencies, you can also choose to work with specific types of firms or companies operating within a particular niche or industry. billion by the end of 2021.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Jedox

SEPTEMBER 10, 2020

Reinventing for dynamic forecasting. Now, CFOs must go further with dynamic forecasting. For dynamic forecasting to work effectively, CFOs need a scenario and modeling platform that supports real-time data updates. Instead of only tracking to an outdated budget, driver-based scenario forecasts become a primary tool.

Forecasting 69

Forecasting Dashboards Measurement Risk 69

IBM Big Data Hub

JUNE 29, 2023

Integrated planning incorporates supply chain planning, demand planning, and demand forecasts so the company can quickly assess the impact on inventory levels, supply chain logistics, production plans, and customer service capacity. Data integration and analytics IBP relies on the integration of data from different sources and systems.

Key Performance Indicator 76

Key Performance Indicator Forecasting Sales Data Integration 76

AWS Big Data

OCTOBER 26, 2023

Amazon Redshift is a fast, petabyte-scale, cloud data warehouse that tens of thousands of customers rely on to power their analytics workloads. Amazon Redshift ML makes it easy for SQL users to create, train, and deploy ML models using SQL commands familiar to many roles such as executives, business analysts, and data analysts.

Modeling 62

Modeling Data Warehouse Machine Learning Testing 62

bridgei2i

MAY 20, 2021

5 Tips For Choosing The Right Digital Analytics Consulting Company. Digital analytics is not just about looking at the core numbers. Digital analytics help organizations get a clearer insight into the customer’s needs by gathering and analyzing their digital data collected from websites, mobile applications, and other sources.

Consulting 52

Consulting Analytics Data-driven Dashboards 52

Jet Global

APRIL 15, 2021

Deal follows insightsoftware’s recent acquisition of embedded analytics leader Logi Analytics. Logi Analytics and Izenda’s combined portfolio of low-code embedded analytics development enables software teams to efficiently deliver powerful visualizations, dashboards and reporting within their applications.

Analytics 52

Analytics Operational Reporting Software Forecasting 52

Cloudera

APRIL 9, 2021

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. Predictive Analytics – AI & machine learning. Security & Governance.

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

Smarten

APRIL 17, 2018

How Can Assistive Predictive Modeling Help My Business Users? If you are wondering how and why predictive analytics software has expanded into the self-serve business user market, the reason is simple. Predictive Analytics Software should be easy to implement, easy to personalize and easy to use.

Predictive Analytics 40

Predictive Analytics Predictive Modeling Analytics Forecasting 40

Juice Analytics

APRIL 17, 2020

Not to minimize the severity of our situation, but the explosion of numbers, charts, dashboards and data stories is beginning to feel like a pandemic of its own. As things have it, the Johns Hopkins University dashboard quickly became the de facto standard, and as a result gets a billion views a day. ONE BILLION!! But it’s not.

Forecasting 85

Forecasting Snapshot Dashboards Uncertainty 85

Smart Data Collective

NOVEMBER 24, 2020

Prescriptive Analytics. In the future of business intelligence, it will also be more common to break data-based forecasts into actionable steps to achieve the best strategy of business development. Automation & Augmented Analytics. This shows why self-service BI is on the rise. Natural Language Processing (NLP).

Business Intelligence 130

Business Intelligence Visualization Dashboards Prescriptive Analytics 130

IBM Big Data Hub

DECEMBER 18, 2023

Weather forecasting As extreme weather events increase in intensity and frequency across the globe, planning and preparing for them is crucial for governments and organizations alike. More accurate forecasts use real-time data and digital maps to help companies better predict and respond to weather events, reducing impacts to operations.

Internet of Things 96

Internet of Things IoT Forecasting Visualization 96

Smart Data Collective

JANUARY 26, 2022

Legal analytics is an evolving discipline that is changing the future of the legal profession. Law firms are expected to spend over $9 billion on legal analytics technology by 2028. But what is legal analytics? We have had time to observe some major developments of legal analytics over the last year.

Data Analytics 73

Data Analytics Analytics Predictive Analytics Insurance 73

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. Let’s get started. Source: RStudio.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

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 tools can include data warehousing, data visualizations, dashboards, and reporting. This is a self-service analytical platform for business users.

Business Intelligence 133

Business Intelligence Dashboards Visualization Big Data 133

CIO Business Intelligence

MARCH 14, 2024

As businesses digitally transform, technology is increasingly integrated into every activity, and the CIO is becoming more of a catalyst for data-driven value creation through analytics, new AI model training, software development, automation, vendor engagement, and more. The first step in this transformation was organizational.

Digital Transformation 83

Digital Transformation Sales Forecasting Data Lake 83

Smarten

SEPTEMBER 11, 2017

Oh, the confusion of advanced analytical terminology. Read a report, attend a conference and your head is swirling with terms like ‘assisted predictive modeling’, plug n’ play predictive analysis, smart visualization, augmented data discovery and augmented data preparation. Assisted Predictive Modeling.

Predictive Modeling 61

Predictive Modeling Analytics Predictive Analytics Forecasting 61

Smart Data Collective

APRIL 19, 2022

One of the most important is collecting revenue data to draft financial statements, forecast future sales and make decisions to address revenue shortfalls. These factors are why companies will spend over $12 billion on data analytics for marketing solutions by 2027. Report on Sales Forecasts. Sales Predictions Report.

Sales 107

Sales Reporting Data mining Forecasting 107

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. These professionals collaborate with IT teams, management, or data scientists to align analytical efforts with organizational objectives across various industries.

Statistics 52

Statistics Data mining Visualization Reporting 52

BizAcuity

FEBRUARY 15, 2019

Sales Analytics in simple terms can be defined as the process used to identify, understand, predict and model sales trends and sales results and in this process of understanding of these trends helps its users in finding improvement points. Sales Analytics in Event Industry – A Perspective View.

Sales 67

Sales Analytics ROI B2B 67

CIO Business Intelligence

SEPTEMBER 5, 2023

It could allow analytics to become even more predictive by using data in AI algorithms to identify trends and patterns long before they become obvious. As a result, they’ve been able to generate 2,200 forecasts for 628 trucking lanes sampled from six U.S. The potential of ERP systems powered by AI is huge.

Technology 81

Technology Predictive Modeling Predictive Analytics Forecasting 81