CIO Business Intelligence

MARCH 24, 2023

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time.

Data Governance 142

Data Governance Management Metadata Data Quality 142

IBM Big Data Hub

AUGUST 28, 2023

Information retrieval The first step in the text-mining workflow is information retrieval, which requires data scientists to gather relevant textual data from various sources (e.g., The data collection process should be tailored to the specific objectives of the analysis. positive, negative or neutral).

Data mining 57

Data mining Machine Learning Deep Learning Marketing 57

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

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 103

Analytics IoT Metadata Internet of Things 103

Peter James Thomas

AUGUST 29, 2018

I am on record multiple times [4] stating that technology choices are much less important than other aspects of data work. However, it is hard to ignore the impact that Big Data and related technologies have had. A few years into the cycle of Big Data adoption, do you see the tools and approaches yielding the expected benefits?

Data-driven 61

Data-driven Cost-Benefit Metadata Technology 61

FineReport

JUNE 24, 2021

Originally, Excel has always been the “solution” for various reporting and data needs. However, along with the diffusion of digital technology, the amount of data is getting larger and larger, and data collection and cleaning work have become more and more time-consuming.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. We recommend building your data strategy around five pillars of C360, as shown in the following figure.

Data Strategy 74

Data Strategy Strategy Data Warehouse Prescriptive Analytics 74

Alation

FEBRUARY 20, 2020

Organizationally the innovation of self-service analytics, pioneered by Tableau and Qlik, fundamentally transformed the user model for data analysis. A “big data” revolution has ensued. More than any other advancement in analytic systems over the last 10 years, Hadoop has disrupted data ecosystems.

Data Lake 52

Data Lake Metadata Structured Data Big Data 52

FineReport

JULY 18, 2022

FineBI is a business intelligence tool for self-service big data analysis and data visualization. Most data analysts are very familiar with Excel because of its simple operation and powerful data collection, storage, and analysis. Price: Google Data Studio is an entirely free tool. Free Download.

Forecasting 52

Forecasting Dashboards Visualization Statistics 52

FineReport

FEBRUARY 5, 2020

Both the investment community and the IT circle are paying close attention to big data and business intelligence. Some people pay attention to functions and interaction effects, such as data collection, image and video collection, positioning, linkage and drilling on the mobile devices.

Metadata 98

Metadata Dashboards Informatics Visualization 98

IBM Big Data Hub

NOVEMBER 30, 2022

Switching to IBM Business Analytics gave Jabil the ability to gather and structure data to provide a central approach to management. The time savings is massive and having an application that takes data security seriously is a huge benefit. Overall, the solution turns a massive data collection effort into a push-button activity.

Reporting 52

Reporting Enterprise Finance Business Analytics 52

Domino Data Lab

MARCH 3, 2019

Then, when we received 11,400 responses, the next step became obvious to a duo of data scientists on the receiving end of that data collection. Over the past six months, Ben Lorica and I have conducted three surveys about “ABC” (AI, Big Data, Cloud) adoption in enterprise.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

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

Since 2000, the International Olympic Committee (IOC) has developed an increasingly structured approach toward data collection and analysis, as Chris Payne, Associate Director of Information, Knowledge, and Games Learning at the IOC, explains: “I actually like to refer to small data as opposed to big data, in the sense that most of what we want relates (..)

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

Jet Global

MAY 9, 2024

The architecture may vary depending on the specific use case and requirements, but it typically includes stages of data ingestion, transformation, and storage. Data ingestion methods can include batch ingestion (collecting data at scheduled intervals) or real-time streaming data ingestion (collecting data continuously as it is generated).

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52