Smart Data Collective

NOVEMBER 25, 2019

Some of these new tools use AI to predict events more accurately by employing predictive analytics to identify subtle relationships between even seemingly unrelated variables. Predictive analytics is the use of data and AI-powered algorithms to help analysts forecast the future and better predict business outcomes.

Business Intelligence 132

Business Intelligence Predictive Analytics Data Collection Internet of Things 132

datapine

JUNE 5, 2019

Online dashboards provide immediate navigable access to actionable analytics that has the power to boost your bottom line through continual commercial evolution. A data dashboard assists in 3 key business elements: strategy, planning, and analytics. 3) Web Analytics Dashboard. For now, let’s explore our personal 8 eight.

Dashboards 316

Dashboards KPI Sales Visualization 316

Smart Data Collective

SEPTEMBER 26, 2019

The big data market is expected to be worth $189 billion by the end of this year. A number of factors are driving growth in big data. Demand for big data is part of the reason for the growth, but the fact that big data technology is evolving is another. New software is making big data more viable than ever.

Big Data 102

Big Data Software Unstructured Data Data Integration 102

CIO Business Intelligence

FEBRUARY 16, 2023

The Basel, Switzerland-based company, which operates in more than 100 countries, has petabytes of data, including highly structured customer data, data about treatments and lab requests, operational data, and a massive, growing volume of unstructured data, particularly imaging data.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Data Warehouse 105

IBM Big Data Hub

JUNE 5, 2024

However, SaaS architectures can easily overwhelm DevOps teams with data aggregation, sorting and analysis tasks. Modern SaaS analytics solutions can seamlessly integrate with AI models to predict user behavior and automate data sorting and analysis; and ML algorithms enable SaaS apps to learn and improve over time.

Analytics 79

Analytics Predictive Analytics Unstructured Data Machine Learning 79

CIO Business Intelligence

AUGUST 18, 2022

The data warehouse requires a time-consuming extract, transform, and load (ETL) process to move data from the system of record to the data warehouse, whereupon the data would be normalized, queried, and answers obtained. You can intuitively query the data from the data lake.

Data Lake 140

Data Lake Data Warehouse Unstructured Data Business Intelligence 140

Sisense

JUNE 30, 2020

Prescriptive analytics takes things a stage further: In addition to helping organizations understand causes, it helps them learn from what’s happened and shape tactics and strategies that can improve their current performance and their profitability. A simple example would be the analysis of marketing campaigns.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

IBM Big Data Hub

SEPTEMBER 19, 2023

Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

Sisense

OCTOBER 6, 2020

Let’s consider the differences between the two, and why they’re both important to the success of data-driven organizations. Digging into quantitative data. This is quantitative data. It’s “hard,” structured data that answers questions such as “how many?” Getting the most from qualitative data.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

CIO Business Intelligence

MAY 8, 2024

AI-powered data integration One of the most promising advancements in data integration is the integration of artificial intelligence (AI) and machine learning (ML) technologies. AI-powered data integration tools leverage advanced algorithms and predictive analytics to automate and streamline the data integration process.

Data Integration 102

Data Integration IoT Cost-Benefit Machine Learning 102

Sisense

JULY 22, 2020

Every organization generates and gathers data, both internally and from external sources. The data takes many formats and covers all areas of the organization’s business (sales, marketing, payroll, production, logistics, etc.) External data sources include partners, customers, potential leads, etc.

Slice and Dice 98

Slice and Dice Digital Transformation Data Warehouse Data Lake 98

Cloudera

SEPTEMBER 12, 2022

Organizations don’t know what they have anymore and so can’t fully capitalize on it — the majority of data generated goes unused in decision making. And second, for the data that is used, 80% is semi- or unstructured. Both obstacles can be overcome using modern data architectures, specifically data fabric and data lakehouse.

Unstructured Data 75

Unstructured Data Data Architecture Data Lake Snapshot 75

FineReport

JUNE 24, 2021

All BI software capabilities, functionalities, and features focus on data. Data preparation and data processing. Initially, data has to be collected. Then, once it has turned the raw, unstructured data into a structured data set, it can analyze that data. Predictive analytics and modeling.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

IBM Big Data Hub

OCTOBER 30, 2023

The global AI market is projected to grow to USD 190 billion by 2025, increasing at a compound annual growth rate (CAGR) of 36.62% from 2022, according to Markets and Markets. AWS’s secure and scalable environment ensures data integrity while providing the computational power needed for advanced analytics.

Insurance 77

Insurance Data Warehouse Data-driven Unstructured Data 77

Cloudera

NOVEMBER 14, 2023

Financial institutions that implement Second, by engaging previously untapped markets, financial institutions can expand their customer base, which can lead to increased revenue and profitability. Here are some real-world ways data and AI can serve the underserved.

Unstructured Data 74

Unstructured Data Cost-Benefit Data-driven Predictive Analytics 74

IBM Big Data Hub

FEBRUARY 2, 2023

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights.

Data Warehouse 56

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 56

Ontotext

FEBRUARY 26, 2024

This is part of Ontotext’s AI-in-Action initiative aimed at enabling data scientists and engineers to benefit from the AI capabilities of our products. Ontotext’s Relation and Event Detector (RED) is designed to assess and analyze the impact of market-moving events. and “What is the financial impact?”.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

Smarten

JUNE 10, 2022

According to a West Monroe Partners’ survey, 68% of business and technology leaders surveyed don’t believe their competitors are leveraging data successfully. Obviously, when it comes to your competitive market space, your business does not want to exist in that 68% of the pie chart! Smart Data Visualization. Dashboards.

Analytics 52

Analytics Slice and Dice Key Performance Indicator Business Intelligence 52

Alation

MARCH 21, 2023

To fully realize data’s value, organizations in the travel industry need to dismantle data silos so that they can securely and efficiently leverage analytics across their organizations. What is big data in the travel and tourism industry? What types of data are collected?

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Ontotext

SEPTEMBER 2, 2020

markets, financial instruments, indicators, currency pairs, economic conditions, etc.). Machine learning coupled with knowledge graphs is already collecting, categorizing, tagging and adding the needed structure to the endless (and useless) swathes of unstructured data and creating predictive analytic tools.

Insurance 72

Insurance Metadata Publishing Unstructured Data 72

FineReport

APRIL 26, 2023

Cost Savings : Big data tools such as FineReport , Hadoop, Spark, and Apache can assist businesses in saving costs by storing and handling huge amounts of data more efficiently. Market Insight : Analyzing big data can help businesses understand market demand and customer behavior.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Rita Sallam

JULY 22, 2016

Or when Tableau and Qlik’s serious entry into the market circa 2004-2005 set in motion a seismic market shift from IT to the business user creating the wave of what was to become the modern BI disruption. Gartner revamped the BI and Analytics Magic Quadrant in 2016 to reflect the mainstreaming of this market disruption.

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

IBM Big Data Hub

JULY 6, 2023

One ride-hailing transportation company uses big data analytics to predict supply and demand, so they can have drivers at the most popular locations in real time. The company also uses data science in forecasting, global intelligence, mapping, pricing and other business decisions.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

Occam's Razor

MARCH 12, 2012

Is there anything in the analytics space that is so full of promise and hype and sexiness and possible awesomeness than "big data?" So what is big data really? As I interpret it, big data is the collection of massive databases of structured and unstructured data. " I don't think so.

Big Data 128

Big Data Data-driven Unstructured Data Marketing 128

IBM Big Data Hub

FEBRUARY 14, 2024

Not only will this help scale the AOT tech across markets, but it will also help tackle integrations including additional languages, dialects and menu variations. Clean up with predictive maintenance AI can be used for predictive maintenance by analyzing data directly from machinery to identify problems and flag required maintenance.

Cost-Benefit 82

Cost-Benefit Insurance Machine Learning Unstructured Data 82

Jet Global

JUNE 18, 2019

The impact of data on business success doesn’t simply lie in the ability of businesses to collect the data itself. What is Big Data Analytics Software? Big data analytics software helps businesses of any size, in any industry, sort through the endless flow of data available to them to highlight the relevant insights.

Big Data 75

Big Data Software Data Analytics Analytics 75

Jet Global

OCTOBER 3, 2019

The impact of data on business success doesn’t simply lie in the ability of businesses to collect the data itself. What is Big Data Analytics Software? Big data analytics software helps businesses of any size, in any industry, sort through the endless flow of data available to them to highlight the relevant insights.

Big Data 53

Big Data Software Data Analytics Analytics 53

Grooper

AUGUST 19, 2019

Choosing the right analytics solution isn't easy. Successfully navigating the 20,000+ analytics and business intelligence solutions on the market requires a special approach. Read on to learn how data literacy, information as a second language, and insight-driven analytics take digital strategy to a new level.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

CIO Business Intelligence

OCTOBER 31, 2024

“If you are working in a content-heavy, expertise-heavy, document-heavy industry, with all that unstructured data, then there are incredible opportunities that exist,” she says. Solutions like AI-driven fraud detection or predictive analytics systems are more complex, he adds.

Data-driven 142

Data-driven Unstructured Data Experimentation Consulting 142

BizAcuity

DECEMBER 2, 2024

Let’s explore how BI tools can help you get the most out of Big Data—and ultimately drive your business forward. What Exactly is Big Data? Simply put, it’s the large volume of structured and unstructured data that your business generates every day. million terabytes of data are created each day, according to Statista.

Business Intelligence 52

Business Intelligence Big Data Consulting Predictive Analytics 52

CIO Business Intelligence

MAY 6, 2025

Descriptive analytics: Where most organizations begin and linger Descriptive analytics answers the question: What happened? These are your standard reports and dashboard visualizations of historical data showing sales last quarter, NPS trends, operational thoughts or marketing campaign performance.

Prescriptive Analytics 78

Prescriptive Analytics Predictive Analytics Descriptive Analytics ROI 78