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

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

IBM Big Data Hub

DECEMBER 18, 2023

Urban planning Governments use GIS data and GIS-based solutions for urban planning: zoning and land use projects, natural disaster and health event response, roadway system and building design, utility distribution, energy production, and waste and resource management.

Internet of Things 96

Internet of Things IoT Forecasting Visualization 96

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

CIO Business Intelligence

NOVEMBER 14, 2022

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. ERP dashboards. These models are used to establish relationships between events and factors related to that event.

Data mining 129

Data mining Data-driven Statistics OLAP 129

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

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 85

Technology Predictive Modeling Predictive Analytics Forecasting 85

CIO Business Intelligence

JUNE 15, 2022

An overwhelming 94% of organizations worldwide are embracing a next-generation ERP strategy that involves migrating to cloud platforms and adopting high-end analytics such as artificial intelligence to overcome the limitations of legacy applications and modernize their businesses, according to a survey of 1,675 IT executives by Boomi. .

Key Performance Indicator 141

Key Performance Indicator Consulting KPI Sales 141

AWS Big Data

MARCH 25, 2024

They can perform a wide range of different tasks, such as natural language processing, classifying images, forecasting trends, analyzing sentiment, and answering questions. For example, in a chatbot, data events could pertain to an inventory of flights and hotels or price changes that are constantly ingested to a streaming storage engine.

Data Lake 90

Data Lake Unstructured Data Management Modeling 90

Cloudera

SEPTEMBER 18, 2020

In Part Two they will look at how businesses in both sectors can move to stabilize their respective supply chains and use real-time streaming data, analytics, and machine learning to increase operational efficiency and better manage disruption. The 6 key takeaways from this blog are below: 6 key takeaways.

Manufacturing 84

Manufacturing IoT Forecasting Machine Learning 84

CIO Business Intelligence

OCTOBER 1, 2022

The pandemic, escalating geopolitical tensions, cyberattacks, and severe weather events have made the supply chain a universal issue subject to boardroom and even White House scrutiny. They should assist the data analytics team in implementing digital dashboards for end-to-end supply chain visibility. This is no longer the case.

Cost-Benefit 108

Cost-Benefit Manufacturing Forecasting Metrics 108

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. Often larger or established teams shy away from integrating AI due to complexities in rollout and validation.

Optimization 55

Optimization Forecasting Data-driven Strategy 55

erwin

JUNE 11, 2020

These hospitals are making use of dashboards that provide summary information on hospital patient trends, treatment costs, and waiting times. The retail industry has also employed data intelligence in developing tools to better forecast and plan according to supply and demand trends and consumer Key Performance Indicators (KPI).

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

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

Jet Global

OCTOBER 8, 2020

Not only have finance teams had to close companies’ books remotely, but they’ve also been required to provide the insight and information needed for some extremely complex decision-making, and continuously plan and forecast for events with little or no historical context. Tip 3: Make decisions with operational data.

Finance 98

Finance Reporting Forecasting Metrics 98

datapine

MARCH 22, 2019

Exploring Customer Experience Analytics. Businesses need analytics-driven insights focused on their team’s performance as well as customer happiness levels to determine the strengths and weaknesses that affect their overall business objectives. Without further ado, let’s get going. How To Measure Customer Satisfaction?

Metrics 134

Metrics Dashboards Measurement Interactive 134

Jet Global

JUNE 5, 2019

Business intelligence (BI) software can help by combining online analytical processing (OLAP), location intelligence, enterprise reporting, and more. to analyze past events to forecast future events. Compare the Top 7 Microsoft Dynamics Business Intelligence and Analytics Platforms. READ BLOG POST.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

Rita Sallam

APRIL 2, 2023

Extreme weather events and their devastating impacts are more frequent and severe, but which populations are most affected? We explored these questions and more at our Bake-Offs and Show Floor Showdowns at our Data and Analytics Summit in Orlando with 4,000 of our closest D&A friends and family. We did two Bake-Offs this year.

Optimization 52

Optimization Machine Learning Insurance 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 110

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 110

datapine

OCTOBER 21, 2020

One of the most notable areas where data analytics is making big changes is healthcare. In fact, healthcare analytics has the potential to reduce costs of treatment, predict outbreaks of epidemics, avoid preventable diseases, and improve the quality of life in general. Download our free bite-sized summary and see our top examples!

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

FineReport

MAY 25, 2023

An HR dashboard functions as an advanced analytics tool that utilizes interactive data visualizations to present crucial HR metrics. With a plethora of HR key performance indicators (KPIs), the aim is to transition from mere reporting to leveraging analytics effectively. What is an HR Dashboard?

Dashboards 52

Dashboards Metrics Cost-Benefit Key Performance Indicator 52

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. Use the offline feature store and local store for inference We can use the SQL function to apply the ML model to data in queries, reports, and dashboards.

Modeling 62

Modeling Data Warehouse Machine Learning Testing 62

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. With IBM Business Analytics Enterprise, users discover and access analytics and planning tools in a streamlined experience. IBM Planning Analytics Engine.

Data-driven 60

Data-driven Business Analytics Analytics Forecasting 60

Sisense

AUGUST 21, 2020

AI and machine learning are the future of every industry, especially data and analytics. Reading through the Gartner Top 10 Trends in Data and Analytics for 2020 , I was struck by how different terms mean different things to different audiences under different contexts. Trend 2: Decline of the dashboard.

Analytics 112

Analytics Machine Learning Dashboards Visualization 112

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

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 capabilities of bundled business analytics.

Business Analytics 52

Business Analytics Analytics Prescriptive Analytics Forecasting 52

AWS Big Data

OCTOBER 11, 2023

The availability of machine-readable files opens up new possibilities for data analytics, allowing organizations to analyze large amounts of pricing data. As hospitals generate this data, they can use their organization data or ingest data from other hospitals to derive analytics and competitive comparison.

Visualization 96

Visualization Dashboards Data-driven Gap analysis 96

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. Yet Newcomp continues to be an essential and trusted partner, helping the company keep up with the high volume of analytics solutions it needs to address.

Slice and Dice 52

Slice and Dice Analytics Sales Business Analytics 52

Sisense

APRIL 22, 2021

You hear it all the time: Analytics has evolved. Today you have analytics and BI platforms like Sisense seamlessly infusing actionable intelligence into workflows and evolving businesses. While analytics has grown up, the benefits of this evolution are not evenly distributed across every industry. Watch Webinar.

Management 52

Management Dashboards Analytics Cost-Benefit 52

Cloudera

JUNE 29, 2023

Up your liquidity risk management game Historically, technological limitations made it difficult for financial institutions to accurately forecast and manage liquidity risk. Financial institutions can use ML and AI to: Support liquidity monitoring and forecasting in real time. Apply emerging technology to intraday liquidity management.

Data Architecture 85

Data Architecture Risk Management Risk Management 85

Jet Global

JUNE 29, 2020

That’s where advanced analytics comes in. Advanced analytics is autonomous or semi-autonomous examination of data using techniques and tools that typically go beyond business intelligence (BI). It serves as an umbrella term for several sub-fields of analytics that work together using predictive capabilities. Face Your Fears.

Analytics 98

Analytics Reporting Cost-Benefit Data mining 98

CIO Business Intelligence

JANUARY 26, 2023

The dashboard produces a collection of infographics that make it possible to study each microservice or API and determine just how much it costs to keep it running in times of high demand and low. Ideally, teams will be able to control their own costs and predict future usage with the reports and dashboards on offer.

Management 116

Management Forecasting Dashboards Optimization 116

Jet Global

FEBRUARY 2, 2021

If the events of the past year have taught us anything, it is that we should expect the unexpected. Thankfully, governments stepped in to stabilize the situation, but in the wake of those events, volatility still prevails to a great degree. Forecasting and planning have taken on much greater importance than ever before.

Forecasting 96

Forecasting Finance Uncertainty Dashboards 96

Jet Global

JUNE 20, 2023

Some of the reports a product manager is expected to produce—and deliver with short turnaround times—are accurate sales forecasts and predictive models outlining customer needs. So, how do they produce all these forecasts quickly, with accuracy? There is much to be learned about the analytics potential of tools such as ChatGPT.

Management 52

Management Forecasting Risk Sales 52

Cloudera

OCTOBER 18, 2022

Like all of our customers, Cloudera depends on the Cloudera Data Platform (CDP) to manage our day-to-day analytics and operational insights. Cloudera runs much of its internal analytics on CDP Private Cloud Base , and this was the natural home for prototyping an automation, monitoring, and governance solution: Project CloudCost.

IT 89

IT Data Warehouse Dashboards Visualization 89

Sisense

MAY 4, 2021

Savvy companies are infusing actionable intelligence into every workflow, process, and business application, making it simpler than ever for any team to use analytics effectively and be truly data driven. Read on to see how infused analytics boosts the effectiveness of CS teams and contributes to business growth. Discover why.

Analytics 98

Analytics Data-driven Advertising Marketing 98

AWS Big Data

MARCH 26, 2024

We structure it in five pillars that power C360: data collection, unification, analytics, activation, and data governance, along with a solution architecture that you can use for your implementation. AWS Data Exchange makes it straightforward to find, subscribe to, and use third-party data for analytics.

Data Strategy 68

Data Strategy Strategy Data Warehouse Prescriptive Analytics 68