FineReport

AUGUST 14, 2020

It is composed of three functional parts: the underlying data, data analysis, and data presentation. The underlying data is in charge of data management, covering data collection, ETL, building a data warehouse, etc. You can design, generate, and manage reports in this part.

Reporting 98

Reporting Informatics OLAP Data Warehouse 98

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 80

Data Science Data Analytics Prescriptive Analytics Analytics 80

CIO Business Intelligence

NOVEMBER 28, 2023

By identifying and categorizing named entities, NER empowers data analysts and system engineers to unlock valuable insights from the vast data collected,” Minarik says. The process of making unstructured data usable doesn’t end with analysis, Minarik says. Data Management, Data Mining, Data Science

Unstructured Data 127

Unstructured Data Data-driven Visualization Data Quality 127

erwin

JUNE 11, 2020

Transforming Industries with Data Intelligence. Data intelligence has provided useful and insightful information to numerous markets and industries. With tools such as Artificial Intelligence, Machine Learning, and Data Mining, businesses and organizations can collate and analyze large amounts of data reliably and more efficiently.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

FineReport

JULY 18, 2022

The features you or your company need are core factors influencing your selection of the data analytics tool. For example, if you want the features of data visualization , such as stunning dashboards and rich charts, business intelligence tools are more suitable for you than a pure programming tool. 15 Best Data Analysis Tools.

Forecasting 52

Forecasting Dashboards Visualization Statistics 52

FineReport

APRIL 20, 2020

Compared to reporting tools, they can realize data forecast thanks to OLAP analysis and data mining technologies. Comparison between Crystal Reports and FineReport- Data Collection . Crystal Report focuses on the data display. FineReport supports writing data back to the database via web forms.

Reporting 84

Reporting OLAP Dashboards Data mining 84

FineReport

FEBRUARY 28, 2020

According to the process from data to knowledge, the functional architecture of a general enterprise reporting system is shown below:It is divided into three functional levels: the underlying data, data analysis, and data presentation. Dashboard Mode is for making a multi-perspective analysis. From FineReport.

Reporting 96

Reporting Enterprise Visualization Business Intelligence 96

Jet Global

MAY 9, 2024

Data pipelines play a critical role in modern data-driven organizations by enabling the seamless flow and transformation of substantial amounts of data across various systems and apps. Once processed, the data is routed and delivered to one or more destinations, such as a data warehouse, data lake , or other storage solution.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

MAY 1, 2023

Users Want to Help Themselves Data mining is no longer confined to the research department. Today, every professional has the power to be a “data expert.” Their dashboards were visually stunning. In turn, end users were thrilled with the bells and whistles of charts, graphs, and dashboards.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Occam's Razor

SEPTEMBER 15, 2014

In this post we will look mobile sites first, both data collection and analysis, and then mobile applications. Upsight (nee Kontagent) provides mobile app analytics, with a pinch of advanced segmentation (including sweet cohort analysis ) and big data mining thrown in for good measure. Tag your mobile website.

Metrics 141

Metrics Reporting Analytics Marketing 141

Smart Data Collective

OCTOBER 25, 2023

Well, it is – to the ones that are 100% familiar with it – and it involves the use of various data sources, including internal data from company databases, as well as external data, to generate insights, identify trends, and support strategic planning. In the 1990s, OLAP tools allowed multidimensional data analysis.

Key Performance Indicator 94

Key Performance Indicator Business Intelligence Data-driven Metrics 94

Alation

AUGUST 26, 2021

Data intelligence first emerged to support search & discovery, largely in service of analyst productivity. For years, analysts in enterprises had struggled to find the data they needed to build reports. This problem was only exacerbated by explosive growth in data collection and volume. Stewardship dashboards.

Metadata 64

Metadata Data Governance Dashboards Software 64