Smart Data Collective

NOVEMBER 12, 2021

Big data technology has been instrumental in changing the direction of countless industries. Companies have found that data analytics and machine learning can help them in numerous ways. However, there are a lot of other benefits of big data that have not gotten as much attention. Global companies spent over $92.5

Data-driven 103

Data-driven Cost-Benefit Data mining Big Data 103

bridgei2i

APRIL 30, 2020

BRIDGEi2i, a leading AI consultancy, has been named as a “Cool Vendor” by Gartner in the recently published Cool Vendors in CRM Sales Technologies. 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

Sisense

JULY 6, 2020

Analytics and data are changing every facet of our world. In The State of BI & Analytics , we expand on our original research, keeping you ahead of the curve on the world of analytics, data, and business intelligence. When forced to make important decisions, business leaders use data to chart a course.

Data-driven 81

Data-driven Uncertainty Reporting Analytics 81

IBM Big Data Hub

APRIL 1, 2024

Stacking strong data management, predictive analytics and GenAI is foundational to taking your product organization to the next level. Addressing customer inquiries with an AI-driven chatbot ChatGPT distinguished itself as the first publicly accessible GenAI-powered virtual chatbot.

Predictive Analytics 84

Predictive Analytics Sales Enterprise Predictive Modeling 84

Smart Data Collective

FEBRUARY 4, 2021

Big data is changing the future of video marketing forever. YouTube was launched in 2005, when big data was just a blip on the horizon. However, data analytics and AI have made video technology more versatile than ever. Clever video marketers know how to use AI and big data to their full advantage.

Data-driven 83

Data-driven Marketing Big Data Data mining 83

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 144

Data mining Data-driven Statistics OLAP 144

FineReport

APRIL 21, 2024

Introduction to the World of SaaS BI Tools In today’s data-driven business landscape, SaaS BI tools have emerged as indispensable assets for companies seeking to harness the power of data. Additionally, there is a growing demand for advanced analytics and data visualization tools to make data-driven decisions.

Business Intelligence 52

Business Intelligence Visualization Dashboards Data-driven 52

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

CIO Business Intelligence

JANUARY 25, 2024

Subbaiah believes those who excel in four core abilities will thrive in the digitally driven enterprise. Understand data The people driving innovation in any organization have to be passionate about data and its possibilities. “We Along these lines, predictive analytics is one field destined for AI-powered growth.

Deep Learning 116

Deep Learning Cost-Benefit Statistics Manufacturing 116

CIO Business Intelligence

OCTOBER 4, 2022

From delightful consumer experiences to attacking fuel costs and carbon emissions in the global supply chain, real-time data and machine learning (ML) work together to power apps that change industries. Data architecture coherence. Putting data in the hands of the people that need it.

Machine Learning 119

Machine Learning Data Architecture Uncertainty Data-driven 119

datapine

JUNE 15, 2023

These analytical tools allow decision-makers to get a sense of their performance in a number of areas and extract valuable insights to inform their future strategies and boost growth. In the past, these reports were used after a month or even a year since the data being displayed was generated.

Reporting 207

Reporting Cost-Benefit Dashboards Sales 207

CIO Business Intelligence

MARCH 7, 2023

The company emphasized the potential gains for application software possible through the use of AI in its initial announcement of investments in four AI-driven companies. Einstein technology currently offers predictive analytics, and today Salesforce announced that it is testing new software, Einstein GPT , that will offer generative AI.

Predictive Analytics 111

Predictive Analytics Data-driven Sales Software 111

Smart Data Collective

MARCH 24, 2019

E-commerce business owners are especially well-versed in how difficult it is to grow traffic and increase sales in the extraordinarily competitive world of e-commerce. A data-driven approach allows you to make an informed decision for your e-commerce business and help business growth. Have you tried any of these tactics before?

Data-driven 64

Data-driven Strategy Optimization Marketing 64

Smart Data Collective

JULY 9, 2023

E-commerce businesses around the world are focusing more heavily on data analytics. billion on analytics last year. There are many ways that data analytics can help e-commerce companies succeed. Analyzing these metrics will shed light on any barriers, which helps you reach your sales goals.

Optimization 73

Optimization Data Analytics Analytics Data-driven 73

Smarten

SEPTEMBER 29, 2023

The company has grown exponentially, first across France and then throughout the world, driven by the transformation of the business. Smarten provided a comprehensive set of reporting and analytics tools, e.g., Headquarter Sales reports, Stock Transfer Planning, Site Net Sales, Outstanding Summary, Party Sales and many more.

Analytics 67

Analytics Sales Operational Reporting Reporting 67

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 106

B2B Sales Big Data Cost-Benefit 106

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

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 105

Enterprise Interactive Data-driven Key Performance Indicator 105

Smart Data Collective

SEPTEMBER 6, 2023

AI-driven fraud scoring algorithms can be crucial for stopping cybercrime. Many financial institutions are already using these types of predictive analytics models to fight fraud. This can include credit card fraud, return fraud, or the sale of counterfeit goods. This is where e-commerce fraud software comes into play.

Software 104

Software Digital Transformation Measurement Predictive Analytics 104

Smart Data Collective

OCTOBER 19, 2021

Data analytics has become a major gamechanger for the cryptocurrency industry. Traders and miners have discovered a number of advantages of using big data and AI tools to improve their profitability. One of the newest applications of data analytics in cryptocurrency mining is with yield farming.

Data Analytics 111

Data Analytics Analytics Big Data ROI 111

Smarten

AUGUST 23, 2022

To answer this question, we first need to understand the difference between standard natural language processing in analytics (AKA Dumb NLP) and context-driven searching using natural language processing (AKA Intuitive NLP). It recognizes the data in the column or field but not the context. It’s that simple.

Data-driven 76

Data-driven Sales Optimization Machine Learning 76

Smart Data Collective

NOVEMBER 25, 2019

More and more often, businesses are using data to drive their decisions — which makes cutting-edge analytics and business intelligence strategies one of the best advantages a company can have. New Avenues of Data Discovery. AI-Powered Big Data Technology. Predictive Business Analytics.

Business Intelligence 101

Business Intelligence Predictive Analytics Data Collection Internet of Things 101

Birst BI

JANUARY 16, 2018

If you’re a business intelligence (BI) and analytics application user, it’s likely that “data-driven insight to the masses” will soon be top-of-mind. Machine learning will transform BI and analytics. Some data discovery vendors tout that they already deliver “self-service to the masses,” but that’s a dubious claim.

Data-driven 70

Data-driven Analytics Dashboards Machine Learning 70

Smarten

FEBRUARY 21, 2024

The integration of augmented analytics gave the Client a competitive advantage, and enabled the business to better leverage its data and to operate more efficiently, thereby increasing revenue and allowing the client to monitor their data and sales trends. Download the Case study

Analytics 62

Analytics Dashboards Data-driven Reporting 62

datapine

MAY 9, 2019

“Without big data, you are blind and deaf and in the middle of a freeway.” – Geoffrey Moore, management consultant, and author. In a world dominated by data, it’s more important than ever for businesses to understand how to extract every drop of value from the raft of digital insights available at their fingertips.

Business Intelligence 270

Business Intelligence Dashboards Data Warehouse Sales 270

IBM Big Data Hub

FEBRUARY 19, 2024

Big data and predictive analytics are increasingly being used to improve forecasting accuracy, allowing businesses to respond more effectively to changes in customer needs. A supply chain control tower can connect many sources of data-driven information and improve end-to-end visibility.

Strategy 88

Strategy Management Forecasting Cost-Benefit 88

Smart Data Collective

SEPTEMBER 7, 2021

Technologies became a crucial part of achieving success in the increasingly competitive market, including big data and analytics. Big data in retail help companies understand their customers better and provide them with more personalized offers. Big data is a not new concept, and it has been around for a while.

Big Data 124

Big Data Technology Cost-Benefit Predictive Analytics 124

Smarten

MAY 18, 2022

If your business is focused on data-driven, fact-based decisions, your business users may be leveraging an analytics solution to gather, find and analyze data. Business goals include improving results and productivity, and getting the best results out of your data, as well as gaining meaningful insight into data.

Data-driven 67

Data-driven Sales Metrics Testing 67

CIO Business Intelligence

JUNE 1, 2022

The company is applying winning insights from rapid, data-driven, evolutionary models versus relying on engine speed and aerodynamics alone to win races. Like professional basketball, industrial-scale farming, national politics, and global merchandising, auto racing has become a data science. Using Data to Generate Simulations.

Manufacturing 119

Manufacturing Digital Transformation Predictive Analytics Strategy 119

IBM Big Data Hub

JUNE 29, 2023

A retail company experiences a sudden surge in online sales due to a viral social media campaign. By having real-time data at their fingertips, decision-makers can adjust their strategies, allocate resources accordingly, and capitalize on the unexpected spike in demand, ensuring customer satisfaction while maximizing revenue.

Key Performance Indicator 83

Key Performance Indicator Forecasting Data Integration Sales 83

IBM Big Data Hub

MAY 17, 2024

Poorly run implementations of traditional or generative AI in commerce—such as models trained on inadequate or inappropriate data—lead to bad experiences that alienate consumers and businesses. This includes trust in the data, the security, the brand and the people behind the AI.

B2B 71

B2B Interactive Optimization Forecasting 71

CIO Business Intelligence

JUNE 29, 2022

In essence, MLOps analysts are a section of the data science team. Whereas data scientists focus on algorithm design and the interpretation of information, MLOps concentrate on making sure the model is working at its best amid changing demands. Where does MLOps fit into data science projects? . Data Science, Machine Learning

Data Science 98

Data Science Machine Learning Data-driven Predictive Analytics 98

Smart Data Collective

OCTOBER 20, 2020

Data analytics is at the forefront of the modern marketing movement. Companies need to use big data technology to effectively identify their target audience and reliably reach them. Big data should be leveraged to execute any GTM campaign. How Can Data Play an Important Role in GTM? Let’s begin.

Marketing 107

Marketing Data Analytics Analytics Big Data 107

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 105

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 105

datapine

FEBRUARY 25, 2022

3) The Role Of Data Drilling In Reporting. It is no secret that the business world is becoming more data-driven by the minute. Every day, more and more decision-makers rely on data coming from multiple sources to make informed strategic decisions. In general, data drills can be added to any chart or data visualization.

Reporting 173

Reporting Dashboards Visualization Interactive 173

DataRobot

JULY 22, 2021

Enterprises can benefit from AI-driven demand forecasting, new product forecasting, reduced out-of-stock items, returns forecasting, and much more. For the supply chain, artificial intelligence powers predictive analytics, using machine learning models from the past to build models that can predict the future.

Manufacturing 52

Manufacturing Forecasting Machine Learning Data-driven 52

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 108

Analytics Digital Transformation Risk Forecasting 108