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 52

Data Integration IoT Cost-Benefit Data Quality 52

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 85

Insurance Data Warehouse Data-driven Unstructured Data 85

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 57

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 57

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

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 80

Big Data Software Unstructured Data Data Integration 80

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 93

Forecasting Cost-Benefit Sales Unstructured Data 93

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 107

Marketing Data Analytics Analytics Big Data 107

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 67

Cost-Benefit Digital Transformation Data Governance Unstructured Data 67

datapine

AUGUST 14, 2019

Data science tools are used for drilling down into complex data by extracting, processing, and analyzing structured or unstructured data to effectively generate useful information while combining computer science, statistics, predictive analytics, and deep learning.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

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 87

Cost-Benefit Insurance Unstructured Data Machine Learning 87

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

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

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.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

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

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

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

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

FineReport

APRIL 26, 2023

Descriptive Analytics is used to determine “what happened and why.” ” This type of Analytics includes traditional query and reporting settings with scorecards and dashboards. Apache Hadoop Apache Hadoop is a Java-based open-source platform used for storing and processing big data. Allows for batch processing.

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.

Dashboards 316

Dashboards KPI Sales Visualization 316

Rita Sallam

JULY 22, 2016

Summary of Differences Between Traditional and Modern Business Intelligence Platforms by Analytic Workflow Component. Q2: Would you consider Sisense better than others in handling big and unstructured data? Q4: Are we going to discuss Predictive types of Analytics in this discussion?

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

TDAN

NOVEMBER 14, 2023

In this digital age, large amounts of data are produced and consumed every second. And particularly for experienced bloggers in the data management or IT industry, synchronized video data collaboration represents an untapped wellspring of potential.

Management 52

Management Predictive Analytics Unstructured Data IT 52

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.

Cost-Benefit 76

Cost-Benefit Unstructured Data Data-driven Risk 76

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

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

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

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

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

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

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.

Slice and Dice 63

Slice and Dice Management Data Warehouse Analytics 63

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

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

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

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

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

Grooper

AUGUST 19, 2019

Master data management. Data governance. Structured, semi-structured, and unstructured data. Data pipelines. Business Analytics. Business analytics is a focus on practical requirements needed for understanding current performance and for predicting future outcomes. Data science skills.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

Smart Data Collective

OCTOBER 13, 2021

There is no disputing the fact that the collection and analysis of massive amounts of unstructured data has been a huge breakthrough. We would like to talk about data visualization and its role in the big data movement. Prescriptive analytics. In forecasting future events.

Visualization 135

Visualization Cost-Benefit Big Data Prescriptive Analytics 135