Smart Data Collective

SEPTEMBER 27, 2023

An Overview of Big Data and Artificial Intelligence Big data refers to an immense volume of structured and unstructured data , revolutionizing industries with its power to provide actionable insights. Artificial Intelligence (AI), on the other hand, is a technology that simulates human intelligence in machines.

Big Data 126

Big Data Unstructured Data Predictive Analytics Risk 126

Smart Data Collective

OCTOBER 20, 2020

Some of these were addressed in the Data Driven Summit 2018. Benefits include: Using data analytics to better identify your target audience Developing a stronger competitive advantage Forecasting trends with predictive analytics to anticipate future market demand. There is no need to hire expensive data analysts.

Marketing 136

Marketing Data Analytics Analytics Big Data 136

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

Smart Data Collective

SEPTEMBER 26, 2019

The emergence of massive data centers with exabytes in the form of transaction records, browsing habits, financial information, and social media activities are hiring software developers to write programs that can help facilitate the analytics process. Unstructured. Unstructured data lacks a specific format or structure.

Big Data 101

Big Data Software Unstructured Data Data Integration 101

CIO Business Intelligence

AUGUST 9, 2024

Building this single source of truth was the only way the airport would have the capacity to augment the data with a digital twin, IoT sensor data, and predictive analytics, he says. Identifying and eliminating Excel flat files alone was very time consuming.

Data Transformation 126

Data Transformation Machine Learning Data Lake Dashboards 126

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.

Dashboards 316

Dashboards KPI Sales Visualization 316

IBM Big Data Hub

JUNE 5, 2024

Given the volume of SaaS apps on the market (more than 30,000 SaaS developers were operating in 2023) and the volume of data a single app can generate (with each enterprise businesses using roughly 470 SaaS apps), SaaS leaves businesses with loads of structured and unstructured data to parse. Predictive analytics.

Analytics 79

Analytics Predictive Analytics Unstructured Data Data-driven 79

CIO Business Intelligence

OCTOBER 13, 2023

Established and emerging data technologies: Data architects need to understand established data management and reporting technologies, and have some knowledge of columnar and NoSQL databases, predictive analytics, data visualization, and unstructured data.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

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. Under Guadagno, the Deerfield, Ill.

Data Lake 140

Data Lake Data Warehouse Unstructured Data Business Intelligence 140

BizAcuity

OCTOBER 21, 2019

Text analytics helps to draw the insights from the unstructured data. . The overarching goal is, essentially, to turn text into data for analysis, via the application of natural language processing (NLP) and analytical methods. The way forward.

Analytics 73

Analytics Unstructured Data Data mining Structured Data 73

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

Cloudera

JANUARY 5, 2021

Through this collaborative effort, they also reduced point solution costs, improved analytic agility, and established an approach to use with other legacy business applications. This retailer also implemented a follow-on use case of predictive analytics for maintenance, improving uptime of their delivery fleet.

Forecasting 91

Forecasting Cost-Benefit Sales Unstructured Data 91

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

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. Predictive analytics is the most beneficial, but arguably the most complex type.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

datapine

NOVEMBER 19, 2019

An exemplary application of this trend would be Artificial Neural Networks (ANN) – the predictive analytics method of analyzing data. This feature hierarchy and the filters that model significance in the data, make it possible for the layers to learn from experience.

Technology 279

Technology Internet of Things IT IoT 279

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

Sisense

OCTOBER 6, 2020

With qualitative data, you can understand intention as well as behavior, thereby making predictive analytics more accurate and giving you fuller insights. You can analyze and learn from the large volume of unstructured data to ensure that your data-driven decisions are as solid as possible.

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

They hold structured data from relational databases (rows and columns), semi-structured data ( CSV , logs, XML , JSON ), unstructured data (emails, documents, PDFs), and binary data (images, audio , video). Sisense provides instant access to your cloud data warehouses.

Slice and Dice 98

Slice and Dice Digital Transformation Data Warehouse Data Lake 98

Jedox

OCTOBER 22, 2020

In addition to using data to inform your future decisions, you can also use current data to make immediate decisions. Some of the technologies that make modern data analytics so much more powerful than they used t be include data management, data mining, predictive analytics, machine learning and artificial intelligence.

Data Analytics 69

Data Analytics Analytics Unstructured Data Data mining 69

IBM Big Data Hub

OCTOBER 30, 2023

IBM, a pioneer in data analytics and AI, offers watsonx.data, among other technologies, that makes possible to seamlessly access and ingest massive sets of structured and unstructured data. AWS, on the other hand, provides robust, scalable cloud infrastructure.

Insurance 77

Insurance Data Warehouse Data-driven Unstructured Data 77

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. As hospital equipment has transitioned to digital and internet-enabled devices, the data generated in real-time from these devices has fuelled the need for big data analytics platforms to make sense of it all.

Big Data 75

Big Data Software Data Analytics Analytics 75

Cloudera

NOVEMBER 14, 2023

Making data and AI work for the underserved By leveraging data and emerging technologies that analyze it more comprehensively and efficiently, financial institutions can expand their reach to underserved populations, improving financial inclusion and empowering individuals with greater access to economic opportunities and financial stability.

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

Cloudera

JUNE 22, 2023

It integrates data from databases, cloud or RESTful APIs, and real-time, streaming feeds, as well as unstructured data from document databases and other sources. And by handling both batch and streaming data, it supports traditional analytic workloads, essential for decision support, as well as real-time operational analytics.

Cost-Benefit 66

Cost-Benefit Digital Transformation Data Governance Unstructured Data 66

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

Jedox

OCTOBER 8, 2020

Given the incredible advances that cloud-based technologies have provided us with, we have never been in a stronger position to leverage the enormous amounts of data we currently have access to. We are talking about internal/external and structured/unstructured data in the scope of brontobytes (10 27th power).

Uncertainty 75

Uncertainty Cost-Benefit Unstructured Data Data-driven 75

Ontotext

NOVEMBER 22, 2020

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. Continuous Data Operations and Data Management for Analytics and Master Data Management.

Metadata 72

Metadata Cost-Benefit Unstructured Data Technology 72

BizAcuity

OCTOBER 21, 2019

Text analytics helps to draw the insights from the unstructured data. The overarching goal is, essentially, to turn text into data for analysis, via the application of natural language processing (NLP) and analytical methods. THE WAY FORWARD.

Analytics 40

Analytics Unstructured Data Data mining Structured Data 40

Cloudera

AUGUST 31, 2020

On Cloudera’s platform, SMG Data Scientists have fast and easy access to the data they need to be able to unleash a host of functions, particularly Predictive Analytics, as the data ingested can now be simultaneously used for ad-hoc analytics as well as for running AI/ML tools.

Management 66

Management Slice and Dice Data Warehouse Analytics 66

IBM Big Data Hub

FEBRUARY 14, 2024

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. Maintenance schedules can use AI-powered predictive analytics to create greater efficiencies.

Cost-Benefit 82

Cost-Benefit Insurance Machine Learning Unstructured Data 82

Smarten

JUNE 10, 2022

In this article, we will discuss the importance of Business Intelligence and Augmented Analytics and a few select factors the business should consider when choosing a service provider or vendor solution. A BI tool is crucial for business users to monitor and present data. Smart Data Visualization. Business Intelligence.

Analytics 52

Analytics Slice and Dice Key Performance Indicator Business Intelligence 52

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. As hospital equipment has transitioned to digital and internet-enabled devices, the data generated in real-time from these devices has fuelled the need for big data analytics platforms to make sense of it all.

Big Data 53

Big Data Software Data Analytics Analytics 53

Ontotext

SEPTEMBER 2, 2020

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

Ontotext

FEBRUARY 26, 2024

Strategic planning and predictive analytics : Companies can use this analysis for strategic planning. Model-driven extraction Model-driven extraction refers to the extraction and classification of unstructured data sources, such as text documents and web pages, based on a predefined schema, often referred to as a semantic model.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

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

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?

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52