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 78

Data Science Data Analytics Prescriptive Analytics Analytics 78

CIO Business Intelligence

DECEMBER 4, 2023

As data skyrockets—especially unstructured data—organizations need an intentional plan and ongoing approach to protect, manage, and optimize data for monetization. The ways modern data is used, processed, and analyzed are continuously evolving as machine learning technology becomes better at these tasks.

Unstructured Data 52

Unstructured Data Data Lake Metadata Business Objectives 52

FineReport

OCTOBER 25, 2021

A data dashboard is a useful tool that could display and analyze users’ complex data by means of data visualization so that the user gains a deep insight into the value of data. It is considered as one of the best business intelligence innovations in the 21st century. Data Dashboard Tool.

Dashboards 98

Dashboards KPI Visualization Key Performance Indicator 98

Jet Global

MAY 9, 2024

Data pipelines are designed to automate the flow of data, enabling efficient and reliable data movement for various purposes, such as data analytics, reporting, or integration with other systems. It also includes data validation and quality checks to ensure the accuracy and integrity of the data being processed.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Sisense

OCTOBER 16, 2019

Launching a new business intelligence initiative or project can be tricky: while we’re staunch believers in agile BI and quick wins, it’s important for both the BI person and the business executives to first align their needs and expectations, and to understand what the organization hopes to achieve.

Management 76

Management IT Dashboards Business Intelligence 76

CIO Business Intelligence

MARCH 19, 2024

The 2000s: Spending spree September 2003: Autonomy completes its purchase of video management software vendor Virage and rebuilds the company’s software on its own IDOL (Intelligent Data Operating Layer) unstructured data management platform. March 2004: Autonomy acquires NativeMinds and Cardiff Software.

Software 102

Software Sales Unstructured Data Enterprise 102

CIO Business Intelligence

JUNE 21, 2022

Many enterprises continue to base their IT governance on cost and performance service level agreement (SLA) metrics. Unfortunately, these metrics tend to be lagging indicators. He says that it’s also important to have deep visibility into both structured and unstructured data in order to build an effective content governance program.

IT 109

IT Risk Measurement Risk Management 109

Octopai

FEBRUARY 8, 2020

The two teams (Lockheed Martin and NASA Jet Propulsion Laboratory) that built the thrusters miscommunicated units (English to metric). What Goes into a BI Intelligence Platform? . These three elements are hugely important for business intelligence to be able to work properly: 1. So, the software miscalculated.

Metadata 63

Metadata Key Performance Indicator Unstructured Data Business Intelligence 63

datapine

JUNE 5, 2019

Enter data dashboards – one of history’s best innovations in business intelligence. To help you understand this notion in full, we’re going to explore a data dashboard definition, explain the power of dashboard data, and explore a selection of data dashboard examples. They Are Predictive.

Dashboards 316

Dashboards KPI Sales Visualization 316

AWS Big Data

JULY 20, 2023

To overcome these issues, Orca decided to build a data lake. A data lake is a centralized data repository that enables organizations to store and manage large volumes of structured and unstructured data, eliminating data silos and facilitating advanced analytics and ML on the entire data.

Data Lake 90

Data Lake Analytics Snapshot Optimization 90

Smart Data Collective

MARCH 30, 2021

According to Forbes , 95% of businesses cite the need to manage unstructured data as a problem for their business. You may imagine what a tremendous amount of marketing data we leave unused? Basic SEO metrics. Big data helps in providing business intelligence that can reduce costs and optimize expenses.

Data-driven 91

Data-driven Sales Big Data Marketing 91

Sisense

MAY 11, 2021

Reporting Reporting contains the flattest and most cleaned version of our data. It often will collapse the metrics in a fact table to the level of a single dimension through a form of aggregation or lookback window. Importantly, both workflows for data analytics are supported by a set of data models that follow the same data pipeline.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

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. 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

IBM Big Data Hub

AUGUST 28, 2023

As it pertains to social media data, text mining algorithms (and by extension, text analysis) allow businesses to extract, analyze and interpret linguistic data from comments, posts, customer reviews and other text on social media platforms and leverage those data sources to improve products, services and processes.

Data mining 54

Data mining Machine Learning Deep Learning Marketing 54

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. 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

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

AWS Big Data

FEBRUARY 21, 2023

Regardless of the division or use case it is related to, dimensional data models can be used to store data obtained from tracking various processes like patient encounters, provider practice metrics, aftercare surveys, and more. It is a data modeling methodology designed for large-scale data warehouse platforms.

Data Warehouse 67

Data Warehouse Data Lake Cost-Benefit Modeling 67

Occam's Razor

NOVEMBER 5, 2007

For a person such as myself who came from the traditional Data Warehouse and Business Intelligence worlds that was a non-trivial mental model transformation. See how it is web data and "web analytics"? Most web data applications that sit in that space tend to give you 100% unstructured data, and all of the data.

Analytics 98

Analytics Experimentation Metrics Measurement 98

AWS Big Data

JUNE 9, 2023

Despite these capabilities, data lakes are not databases, and object storage does not provide support for ACID processing semantics, which you may require to effectively optimize and manage your data at scale across hundreds or thousands of users using a multitude of different technologies.

Data Lake 115

Data Lake Metadata Optimization Statistics 115