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 102

Business Intelligence Predictive Analytics Data Collection Internet of Things 102

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 80

Big Data Software Unstructured Data Data Integration 80

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 88

Cost-Benefit Insurance Unstructured Data Machine Learning 88

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

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.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

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

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.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

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

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

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 59

Machine Learning Data Science Statistics Deep Learning 59

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

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

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 127

Big Data Data-driven Unstructured Data Marketing 127

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.

Cost-Benefit 77

Cost-Benefit Unstructured Data Data-driven Risk 77

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

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 76

Unstructured Data Data Architecture Data Lake Snapshot 76

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

datapine

NOVEMBER 19, 2019

If you don’t pay attention to new changes or keep up the pace, it’s easy to fall behind the times (and the market) while other companies beat you to the punch. Visual analytics: Around three million images are uploaded to social media every single day. The modern world is changing more and more quickly with each passing year.

Technology 279

Technology Internet of Things IT IoT 279

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

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

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

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

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

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

datapine

DECEMBER 4, 2019

Each year, we hear about buzzwords that enter the community, language, market and drive businesses and companies forward. Predictive & Prescriptive Analytics. Predictive Analytics: What could happen? The commercial use of predictive analytics is a relatively new thing.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212