Smart Data Collective

APRIL 8, 2020

Data warehouse, also known as a decision support database, refers to a central repository, which holds information derived from one or more data sources, such as transactional systems and relational databases. The data collected in the system may in the form of unstructured, semi-structured, or structured data.

Technology 144

Technology Data Warehouse Big Data Machine Learning 144

CIO Business Intelligence

FEBRUARY 10, 2023

Predictive analytics in business Predictive analytics draws its power from a wide range of methods and technologies, including big data, data mining, statistical modeling, machine learning, and assorted mathematical processes. from 2022 to 2028.

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

FineReport

AUGUST 14, 2020

With the development of enterprise informatization, there are more and more kinds of data produced, and the demand for reports surges day by day. Let’s discover how to choose a great reporting software and design the architecture to efficiently build a reporting system. Software to Build Reporting System. Reports Portal?

Reporting 98

Reporting Informatics OLAP Data Warehouse 98

CIO Business Intelligence

OCTOBER 26, 2023

This is done by mining complex data using BI software and tools , comparing data to competitors and industry trends, and creating visualizations that communicate findings to others in the organization. Real-time problem-solving exercises using Excel or other BI tools. More on BI: What is business intelligence?

Business Intelligence 126

Business Intelligence Data-driven Statistics Data Warehouse 126

CIO Business Intelligence

APRIL 22, 2022

For most organizations, it is employed to transform data into value in the form of improved revenue, reduced costs, business agility, improved customer experience, the development of new products, and the like. Data science gives the data collected by an organization a purpose. Data science vs. data analytics.

Data Science 140

Data Science Statistics Machine Learning Visualization 140

CIO Business Intelligence

SEPTEMBER 14, 2023

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines that convert raw data into formats usable by data scientists, data-centric applications, and other data consumers.

Analytics 135

Analytics Data Science Unstructured Data Data mining 135

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. BI software solutions (by FineReport).

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

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. Your data governance program needs to continually break down new siloes.

Data Governance 142

Data Governance Management Metadata Data Quality 142

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

CIO Business Intelligence

NOVEMBER 28, 2023

“This not only allows us to store huge amounts of unstructured data, but also to query and analyze it efficiently, providing immediate access to the information we need for our data scientists and developers,” Konoval says. The process of making unstructured data usable doesn’t end with analysis, Minarik says.

Unstructured Data 130

Unstructured Data Data-driven Visualization Data Quality 130

FineReport

FEBRUARY 28, 2020

Therefore, business intelligence is a broader category that includes data processing, perform reporting, analytics, and visualization functions. Also, the features of an enterprise reporting tool can be associated with business intelligence (BI) software suite. Convenient data query and filter. From FineReport.

Reporting 96

Reporting Enterprise Visualization Business Intelligence 96

FineReport

APRIL 20, 2020

Two types of software can replace the Crystal Report. Another is BI software such as Tableau and PowerBI. 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 .

Reporting 84

Reporting OLAP Dashboards Data mining 84

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 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

FineReport

MARCH 24, 2024

Data Analyst Job Description: Major Tasks and Duties Data analysts collaborate with management to prioritize information needs, collect and interpret business-critical data, and report findings. Certified Analytics Professional (CAP) , providing advanced insights into converting data into actionable insights.

Statistics 52

Statistics Data mining Visualization Reporting 52

Sisense

APRIL 10, 2020

These libraries are used for data collection, analysis, data mining, visualizations, and ML modeling. Nidhi Bansal is Data Scientist, Machine Learning/Artificial Intelligence enthusiast, and writer who loves to experiment with data and write about it. Every library has its own purpose and benefits.

Deep Learning 98

Deep Learning Data Science Machine Learning Visualization 98

Sisense

APRIL 26, 2020

In our modern digital world, proper use of data can play a huge role in a business’s success. Datasets are exploding at an ever-accelerating rate, so collecting and analyzing data to maximum effect is crucial. Companies and businesses focus a lot on data collection in order to make sure they can get valuable insights out of it.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

Jet Global

FEBRUARY 9, 2022

Logi Analytics is the leading provider of embedded analytics solutions for software teams. With more organizations investing in data mining than ever before, insightsoftware is committed to empowering software teams to derive insights and make more informed decisions. About Logi Analytics, an insightsoftware company.

Business Intelligence 40

Business Intelligence Analytics Data mining Forecasting 40

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. Data lineage features.

Metadata 64

Metadata Data Governance Dashboards Software 64

IBM Big Data Hub

AUGUST 28, 2023

One of the best ways to take advantage of social media data is to implement text-mining programs that streamline the process. What is text mining? 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.,

Data mining 53

Data mining Machine Learning Deep Learning Marketing 53

IBM Big Data Hub

AUGUST 11, 2023

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects.

Data Science 53

Data Science Machine Learning Cost-Benefit Deep Learning 53

FineReport

JULY 18, 2022

Some data analysis software demands high-level coding knowledge, while others are almost zero-code tools. After identifying the above factors, we can start to take a look at the popular data analysis software. Here I list 15 excellent tools for data analysis, among which there must be the one that fits you best.

Forecasting 52

Forecasting Dashboards Statistics Visualization 52

datapine

AUGUST 29, 2022

2) Designing Data-Intensive Applications by Martin Kleppman. Best for : Software engineers looking to learn the fundamentals of designing data-intensive applications, the pros, and cons of the different technologies available, as well as key concepts needed to succeed in the process.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

datapine

DECEMBER 28, 2021

In the digital age, these capabilities are only further enhanced and harnessed through the implementation of advanced technology and business intelligence software. Statistics are infamous for their ability and potential to exist as misleading and bad data. Exclusive Bonus Content: Download Our Free Data Integrity Checklist.

Statistics 363

Statistics Advertising Visualization Data mining 363

Jet Global

MAY 1, 2023

This is in contrast to traditional BI, which extracts insight from data outside of the app. Commercial vs. Internal Apps Any organization that develops or deploys a software application often has a need to embed analytics inside its application. Users Want to Help Themselves Data mining is no longer confined to the research department.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

MAY 9, 2024

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). Technologies used for data ingestion include data connectors, ingestion frameworks, or data collection agents.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52