IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 85

Data Science Data Analytics Prescriptive Analytics Analytics 85

O'Reilly on Data

DECEMBER 19, 2018

We won’t be writing code to optimize scheduling in a manufacturing plant; we’ll be training ML algorithms to find optimum performance based on historical data. If humans are no longer needed to write enterprise applications, what do we do? Given the rate at which data is created, data collection has to be automated.

Machine Learning 261

Machine Learning Software Testing Metadata 261

FineReport

MARCH 7, 2024

This contemplation is paramount in the realm of data analysis reporting, where the practical application of big data takes center stage. Delving into the intricacies of generating insights and facilitating informed decision-making for enterprises, such as achieving precision in advertising placement, is at the heart of this discourse.

Dashboards 52

Dashboards Reporting Advertising Statistics 52

FineReport

FEBRUARY 5, 2020

As a part of enterprise informationization, there are many reasons for BI platform to do separate management and disaster recovery. On the one hand, governments, Internet companies, and large enterprises attach great importance to informatization construction and require separate maintenance. Metadata management.

Metadata 98

Metadata Dashboards Informatics Visualization 98

Cloudera

SEPTEMBER 29, 2021

Digital transformation has been talked about for many years, but the pandemic has accelerated the digital transformation journeys for many enterprises. Through processing vast amounts of structured and semi-structured data, AI and machine learning enabled effective fraud prevention in real-time on a national scale. .

Digital Transformation 81

Digital Transformation Data Governance Data-driven Uncertainty 81

FineReport

JULY 18, 2022

Here I list 15 excellent tools for data analysis, among which there must be the one that fits you best. FineReport is a business intelligence reporting and dashboard software that helps enterprises transform data into value. It also has a commercial version for enterprises. FineRepor t. From FineReport. Free Download.

Forecasting 52

Forecasting Dashboards Visualization Statistics 52

AWS Big Data

MARCH 13, 2024

Data analytics – Business analysts gather operational insights from multiple data sources, including the location data collected from the vehicles. Query the data using Athena Athena is a serverless, interactive analytics service built to analyze unstructured, semi-structured, and structured data where it is hosted.

Analytics 94

Analytics IoT Metadata Internet of Things 94

Domino Data Lab

MARCH 3, 2019

Paco Nathan covers recent research on data infrastructure as well as adoption of machine learning and AI in the enterprise. Welcome back to our monthly series about data science! This month, the theme is not specifically about conference summaries; rather, it’s about a set of follow-up surveys from Strata Data attendees.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

BizAcuity

MARCH 1, 2019

Data is only useful when it is actionable for which it needs to be supplemented with context and creativity. Traditional methods of analyzing structured data are not designed to efficiently process these large amounts of real-time data that is collected from IoT devices. and constantly report this data to backend.

IoT 56

IoT Internet of Things Big Data Data-driven 56

IBM Big Data Hub

NOVEMBER 30, 2022

They are a technologically motivated enterprise, so it’s no surprise that they would apply this forward-thinking view to their finance reporting as well. Switching to IBM Business Analytics gave Jabil the ability to gather and structure data to provide a central approach to management. They went from day 15 reporting to day 5.

Reporting 52

Reporting Enterprise Finance Business Analytics 52

Peter James Thomas

AUGUST 29, 2018

I know you have a strong background in Enterprise Data Management , how does the CDO role differ from this area? I guess that depends on how you determine the scope of Enterprise Data Management. This is where the process efficiency impacts good data collection.

Data-driven 61

Data-driven Cost-Benefit Metadata Technology 61

erwin

APRIL 18, 2019

Under the GDPR, organizations must make any personal data collected from an EU citizen available upon request. CCPA compliance only requires data collected within the last 12 months to be shared upon request. Analyze data: Understand how data relates to the business and what attributes it has.

Data Governance 81

Data Governance Metadata Data-driven Data Collection 81

Timo Elliott

JANUARY 22, 2019

As business applications move to the cloud, and external data becomes more important, cloud analytics becomes a natural part of enterprise architectures. Compliance drives true data platform adoption, supported by more flexible data management. Cloud brings agility and faster innovation to analytics.

Analytics 89

Analytics Machine Learning Unstructured Data Digital Transformation 89

Cloudera

JANUARY 11, 2018

These companies were able to receive notable benefits from their data collection and aggregation efforts. Data Warehouses and data virtualization may offer some remedy but as it is pointed out in the research…. You can too, as David describes….

Strategy 40

Strategy Data Warehouse Cost-Benefit Marketing 40

Sisense

JULY 23, 2021

Lindsay James is a journalist and copywriter with over 20 years’ experience writing for enterprise business audiences. >>>Infused analytics can help evolve every part of your business. She’s created copious copy for some of the world’s biggest companies and is a regular contributor to The Record , Compass , and IT Pro.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

Jet Global

MAY 9, 2024

Data pipelines can serve various purposes beyond ETL, such as real-time analytics, machine learning, and stream processing applications. ETL pipelines are designed to prepare data for analysis, reporting, or other business intelligence applications. What is an ETL pipeline?

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52