DataRobot Blog

DECEMBER 6, 2022

Savvy data scientists are already applying artificial intelligence and machine learning to accelerate the scope and scale of data-driven decisions in strategic organizations. Data scientists are in demand: the U.S. Explore these 10 popular blogs that help data scientists drive better data decisions.

Experimentation 145

Experimentation Forecasting Data-driven Machine Learning 145

IBM Big Data Hub

FEBRUARY 19, 2024

Effective SCM initiatives offer several benefits: Lower operational costs : By optimizing inventory levels , improving warehousing efficiency and streamlining order fulfillment processes, companies can save on storage, labor and transportation expenses.

Strategy 86

Strategy Management Forecasting Cost-Benefit 86

Jedox

APRIL 23, 2020

Sales Performance Management (SPM) is defined as a set of operational and analytical process to help align selling resources with business priorities. The key benefits of SPM automation are: Savings of 3% to 5% in sales compensation expenses & over payments. Data-driven analytics to speed up decisions and actions.

Sales 52

Sales Management B2B Dashboards 52

CIO Business Intelligence

NOVEMBER 14, 2022

Decision support systems definition A decision support system (DSS) is an interactive information system that analyzes large volumes of data for informing business decisions. A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. Data-driven DSS.

Data mining 137

Data mining Data-driven Statistics OLAP 137

datapine

JUNE 15, 2023

In the past, these reports were used after a month or even a year since the data being displayed was generated. They are composed of multiple graphs and charts that not only assist you in telling a complete story of performance but also make the data more accessible and understandable for a wider audience.

Reporting 207

Reporting Cost-Benefit Dashboards Sales 207

DataRobot Blog

AUGUST 18, 2022

Challenges in inventory management, demand forecasting, price optimization, and more can result in missed opportunities and lost revenue. Retailers and manufacturers that incorporate AI in supply chain management greatly enhance their ability to forecast demand, manage inventory, and optimize price.

Manufacturing 98

Manufacturing Cost-Benefit Forecasting Data-driven 98

CIO Business Intelligence

APRIL 5, 2022

For some, leveraging data and analytics tools is proving to be an effective way to address the challenges. Here’s how three organizations are succeeding at using data analytics to improve supply chain operations. Supply chain woes continue to plague organizations around the world and in virtually all sectors.

Analytics 145

Analytics Cost-Benefit Forecasting Manufacturing 145

IBM Big Data Hub

JUNE 29, 2023

A retail company experiences a sudden surge in online sales due to a viral social media campaign. 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.

Key Performance Indicator 83

Key Performance Indicator Forecasting Data Integration Sales 83

CIO Business Intelligence

MAY 12, 2022

The tools include sophisticated pipelines for gathering data from across the enterprise, add layers of statistical analysis and machine learning to make projections about the future, and distill these insights into useful summaries so that business users can act on them. Visual IDE for data pipelines; RPA for rote tasks. Highlights.

Predictive Analytics 137

Predictive Analytics Analytics Statistics Machine Learning 137

datapine

JUNE 5, 2019

“It is a capital mistake to theorize before one has data.”– Data is all around us. Data has changed our lives in many ways, helping to improve the processes, initiatives, and innovations of organizations across sectors through the power of insight. Let’s kick things off by asking the question: what is a data dashboard?

Dashboards 316

Dashboards KPI Sales Visualization 316

AWS Big Data

MAY 4, 2023

Encored develops machine learning (ML) applications predicting and optimizing various energy-related processes, and their key initiative is to predict the amount of power generated at renewable energy power plants. It allows for efficient data storage and transmission, as well as easy manipulation of the data using specialized software.

Data-driven 52

Data-driven Technology Cost-Benefit Machine Learning 52

Sisense

JANUARY 26, 2020

In Moving Parts , we explore the unique data and analytics challenges manufacturing companies face every day. It requires a skilled data team, advanced tools, and enormous amounts of clean data from the right combination of inputs. The process of producing goods is an enormous opportunity for data optimization.

Predictive Analytics 78

Predictive Analytics Manufacturing Analytics Forecasting 78

IBM Big Data Hub

MAY 14, 2024

Through new approaches to financial management that incorporate generative AI , this advanced technology can help CFOs make more informed, data-driven decisions for their organization that can have major financial implications. The IBM report found that, on average, AI adopters attribute 40% of finance function FTE redeployment to AI.

Finance 54

Finance Cost-Benefit Reporting Forecasting 54

CIO Business Intelligence

JULY 26, 2023

Worldwide ecommerce sales are at 20% of total retail sales, while the figure is 15% for the US. And yet, physical sales show no signs of letting down, for reasons of experience and convenience. With data of course. How do physical retailers bridge the gap in data and analytics, and use it to improve customer experience?

Sales 76

Sales Digital Transformation Data-driven Optimization 76

CIO Business Intelligence

NOVEMBER 22, 2022

Digital transformation initiatives have picked up in the retail sector in recent years as store chains compete for brand awareness and sales in a rapidly evolving market. And how is that data reconciled into the POS systems to determine in-store product quantity? It’s about making the data architecture data centric.

Digital Transformation 137

Digital Transformation Sales Machine Learning Optimization 137

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 90

Digital Transformation Sales Forecasting Data Lake 90

DataRobot

OCTOBER 18, 2021

When it comes to shopping, I passively accept what is offered for sale. Will consumer behavior change when inflexible data-driven AI systems are the norm? There is a wealth of research showing again and again that evidence-based algorithms are more accurate than forecasts made by humans. Augmented Humans.

Forecasting 145

Forecasting Digital Transformation Cost-Benefit Data-driven 145

CIO Business Intelligence

JUNE 15, 2022

Gartner has forecast that 65% of organizations will adopt ERP applications that use one or more of what it calls “fourth-era hallmarks” by 2023. Those include AI, data-centric design, systems that can be used off the shelf, functions that augment decisions, developer enablement, and customer-facing technology.

Key Performance Indicator 143

Key Performance Indicator Consulting KPI Sales 143

Rita Sallam

APRIL 2, 2023

Are there mitigation strategies that show reasons for optimism? 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. What Data Did We Use? We did two Bake-Offs this year.

Optimization 52

Optimization Machine Learning Insurance Risk 52

IBM Big Data Hub

FEBRUARY 13, 2024

Demystifying generative AI At the heart of Generative AI lie massive databases of texts, images, code and other data types. This data is fed into generational models, and there are a few to choose from, each developed to excel at a specific task. Imagine each data point as a glowing orb placed on a vast, multi-dimensional landscape.

Enterprise 125

Enterprise Modeling Testing Data-driven 125

Cloudera

AUGUST 3, 2021

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. . In summary, predicting future supply chain demands using last year’s data, just doesn’t work. Improve Visibility within Supply Chains.

Analytics 109

Analytics Digital Transformation Risk Forecasting 109

IBM Big Data Hub

DECEMBER 5, 2023

Generative AI excels at handling diverse data sources such as emails, images, videos, audio files and social media content. This unstructured data forms the backbone for creating models and the ongoing training of generative AI, so it can stay effective over time. trillion on retail businesses through 2029. trillion in that year.

Unstructured Data 93

Unstructured Data Cost-Benefit Experimentation Machine Learning 93

datapine

NOVEMBER 5, 2019

Studies suggest that businesses that adopt a data-driven marketing strategy are likely to gain an edge over the competition and in turn, increase profitability. In fact, according to eMarketer, 40% of executives surveyed in a study focused on data-driven marketing, expect to “significantly increase” revenue. Still unsure?

Dashboards 220

Dashboards Cost-Benefit Sales Metrics 220

Smarten

SEPTEMBER 28, 2022

Gartner has predicted that, ‘Overall analytics adoption will increase from 35% to 50%, driven by vertical and domain-specific augmented analytics solutions.’ Predictive analytics uses sophisticated analytical methodologies to predict future outcomes based on historical data. Plan and forecast accurately.’. Demand Planning.

Predictive Analytics 52

Predictive Analytics Analytics Predictive Modeling Forecasting 52

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. In this landscape, data analysts assume a pivotal role, tasked with interpreting data to drive informed decision-making.

Statistics 52

Statistics Data mining Visualization Reporting 52

IBM Big Data Hub

FEBRUARY 23, 2024

DL models can improve over time through further training and exposure to more data. Predictive analytics integrates with NLP, ML and DL to enhance decision-making capabilities, extract insights, and use historical data to forecast future behavior, preferences and trends.

Enterprise 103

Enterprise Interactive Data-driven Key Performance Indicator 103

Smart Data Collective

APRIL 14, 2021

They can: Handle larger volumes of data Identify data patterns that are opaque to the human eye Work tirelessly around the clock (without errors or prejudice). Boost Sales and Marketing with AI-Powered CRM Systems. This way, AI-driven CRM software can boost lead generation and improve conversion rates. Image via Vistage.

Advertising 103

Advertising Sales ROI Data-driven 103

IBM Big Data Hub

DECEMBER 4, 2023

This approach empowers organizations to utilize data-driven analytics, artificial intelligence (AI) and automation to make well-informed decisions swiftly and accurately, enabling them to navigate the complexities of the modern marketplace with agility and precision.     This is where autonomous planning shines.

Forecasting 49

Forecasting Finance Optimization Marketing 49

FineReport

APRIL 9, 2024

Evolving BI Tools in 2024 Significance of Business Intelligence In 2024, the role of business intelligence software tools is more crucial than ever, with businesses increasingly relying on data analysis for informed decision-making.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

Smart Data Collective

APRIL 7, 2022

Few people anticipated that big data would have such a profound impact on the e-commerce sector. Companies in the distribution industry are particularly dependent on data, due to the complicated logistics issues they encounter. There are many reasons that data analytics and data mining are vital aspects of modern e-commerce strategies.

B2B 109

B2B Sales Big Data Cost-Benefit 109

Smart Data Collective

JUNE 15, 2022

One of the secrets to attracting and retaining customers is to become more data-centric. Did you know that retail sales in the US are expected to reach $5.94 According to many surveys, more than 90% of retail organizations across a wide range of sectors feel location data is crucial to their success. trillion in 2019?

Advertising 99

Advertising Cost-Benefit ROI Sales 99

CIO Business Intelligence

JULY 20, 2023

Driven by cutthroat competition and significant shifts in customer expectations, retail companies are striving to align themselves with the changing landscape, with IT playing a crucial role in their ability to achieve this. From 250 such stores in 2021, the study forecasts the number to touch 12,000 by 2027.

Technology 74

Technology Forecasting Advertising Machine Learning 74

Smart Data Collective

MARCH 27, 2023

billion on AI in 2021 , but small businesses may spend even more on AI-driven financial management software. Many small businesses are investing in AI-driven financial management software. Your analysts might have software designed to help with business forecasting. Tools that don’t integrate can result in “data siloes.”

Software 90

Software Finance Cost-Benefit Data-driven 90

IBM Big Data Hub

MARCH 8, 2024

Some forecasts suggest online retail might be responsible for half of all retail revenues by next year. In what McKinsey refers to as “the e-commerce catch-22,” many retailers with significant growth in ecommerce sales through 2020 and 2021 saw their margins decline.

Consulting 85

Consulting Marketing Sales Data Processing 85

IBM Big Data Hub

APRIL 25, 2024

BPR examples are not one-time projects, but rather examples of a continuous journey of innovation and change focused on optimizing end-to-end processes and eliminating redundancies. The purpose of BPR is to streamline workflows , eliminate unnecessary steps and improve resource utilization.

Cost-Benefit 62

Cost-Benefit Finance Optimization Key Performance Indicator 62

erwin

JUNE 11, 2020

What Is Data Intelligence? Data Intelligence is the analysis of multifaceted data to be used by companies to improve products and services offered and better support investments and business strategies in place. Data intelligence can encompass both internal and external business data and information. Healthcare.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

CIO Business Intelligence

JUNE 22, 2023

Consulting In the consulting industry, technology has become an important tool for making decisions, designing solutions, improving processes, and providing insights on optimizing business strategy. It’s an industry that handles critical, private, and sensitive data so there’s a consistent demand for cybersecurity and data professionals.

IT 121

IT Insurance Recreation/Entertainment Consulting 121