Smart Data Collective

APRIL 19, 2022

Data mining technology has become very important for modern businesses. Companies use data mining technology for a variety of purposes. One of the most important is collecting revenue data to draft financial statements, forecast future sales and make decisions to address revenue shortfalls.

Sales 108

Sales Reporting Data mining Forecasting 108

FineReport

AUGUST 14, 2020

When mentioning the reporting, folders loaded with spreadsheets, graphs, and commentaries may ring a bell. With the development of enterprise informatization, there are more and more kinds of data produced, and the demand for reports surges day by day. What is the Reporting System? Software to Build Reporting System.

Reporting 98

Reporting Informatics OLAP Data Warehouse 98

FineReport

MAY 29, 2020

What is BI Reporting? . Business Intelligence is commonly divided into four different types: reporting, analysis, monitoring, and prediction. BI reporting is often called reporting. In other words, you can view BI reporting as various styles+ dynamic data. . BI Reports can vary in their interactivity.

Reporting 94

Reporting OLAP Software Visualization 94

FineReport

FEBRUARY 28, 2020

What Is Enterprise Reporting? Enterprise reporting is a process of extracting, processing, organizing, analyzing, and displaying data in the companies. It uses enterprise reporting tools to organize data into charts, tables, widgets, or other visualizations. Common Problems With Enterprise Reporting.

Reporting 96

Reporting Enterprise Visualization Business Intelligence 96

Dataiku

OCTOBER 5, 2023

A shiny new technology appears and we prioritize its implementation: enterprise databases, personal computers, spreadsheets, three-tier architectures, business intelligence reporting, the internet, mobile computing, big data, data mining, cloud computing, self-service business intelligence, AutoML, AI, and now Generative AI.

Data mining 83

Data mining Digital Transformation Data Science Business Intelligence 83

FineReport

DECEMBER 22, 2019

You may have viewed many articles or reviews about reporting tools lists or open-source reporting tools. What are the reporting tools? What types of reporting tools do you need? What other functions of reporting software in companies? What other functions of reporting software in companies? From FineReport.

Reporting 90

Reporting Software Dashboards OLAP 90

CIO Business Intelligence

JULY 5, 2022

Business analytics is a subset of data analytics. Data analytics is used across disciplines to find trends and solve problems using data mining , data cleansing, data transformation, data modeling, and more. The discipline is a key facet of the business analyst role. Business analytics techniques.

Business Analytics 126

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 126

Smart Data Collective

MAY 16, 2022

Data management systems provide a systematic approach to information storage and retrieval and help in streamlining the process of data collection, analysis, reporting, and dissemination. It also helps in providing visibility to data and thus enables the users to make informed decisions.

Management 128

Management Data mining Data Warehouse Data Collection 128

Jen Stirrup

SEPTEMBER 30, 2021

Before we dive in, let’s define strands of AI, Machine Learning and Data Science: Business intelligence (BI) leverages software and services to transform data into actionable insights that inform an organization’s strategic and tactical business decisions. Modelling Data. What is the CRISP-DM methodology?

Business Intelligence 135

Business Intelligence Data mining Machine Learning Testing 135

Smart Data Collective

FEBRUARY 28, 2023

Deloitte discussed this new trend in a report titled “Tax data analytics A new era for tax planning and compliance.” ” Small businesses need to understand the role that data analytics plays in assisting with tax compliance. This is one of the areas where data mining technology can come in handy.

Analytics 105

Analytics Data mining Finance Analytics Technologies 105

Smart Data Collective

NOVEMBER 11, 2021

Data analytics technology can help immensely at this and all subsequent stages. Set Goals and Develop a Strategy with Data Mining. This is one of the most important ways that big data can help. You may not need to use data mining to outline your goals, but you will probably need this technology to conceptualize them.

B2B 114

B2B Data mining Big Data Marketing 114

CIO Business Intelligence

NOVEMBER 14, 2022

Decision support systems are generally recognized as one element of business intelligence systems, along with data warehousing and data mining. Data-driven DSS. These systems include file drawer and management reporting systems, executive information systems, and geographic information systems (GIS).

Data mining 129

Data mining Data-driven Statistics OLAP 129

CIO Business Intelligence

JUNE 7, 2022

Data analytics draws from a range of disciplines — including computer programming, mathematics, and statistics — to perform analysis on data in an effort to describe, predict, and improve performance. What are the four types of data analytics? Data analytics and data science are closely related.

Data Analytics 129

Data Analytics Diagnostic Analytics Management Analytics 129

FineReport

MARCH 24, 2024

The primary objective of a data analyst is to transform raw data into meaningful insights that drive organizational improvements. By conducting extensive research and analysis, they generate reports that inform strategic decisions, identify areas for enhancement, and guide the implementation of new initiatives.

Statistics 52

Statistics Data mining Visualization Reporting 52

Smarten

OCTOBER 19, 2023

These systems are the lifeline for data entry and reporting and allow the enterprise to produce statutory and compliance reports. They also allow your team members to check data, understand historical results and plan for the future.

Analytics 52

Analytics Cost-Benefit Finance Data mining 52

Smarten

JANUARY 18, 2023

It is a highly process driven company and depends on data and its analysis for decision making and reporting at each level in the organization. The Smarten system has helped the client cost-effectively shift from spreadsheet based reporting to business intelligence based centralized analysis, assessment, and reporting.

Data Warehouse 52

Data Warehouse Analytics Data mining Business Intelligence 52

FineReport

JULY 28, 2021

Definition: BI vs Data Science vs Data Analytics. Business Intelligence describes the process of using modern data warehouse technology, data analysis and processing technology, data mining, and data display technology for visualizing, analyzing data, and delivering insightful information.

Business Intelligence 98

Business Intelligence Data Science Data Analytics Analytics 98

Analytics Vidhya

APRIL 29, 2023

Data security is a critical concern for individuals, organizations, and governments as cyber attacks continue to rise in frequency and severity. According to recent reports, cybercrime will cost the world over $10.5 trillion annually by 2025.

Risk 267

Risk Measurement Reporting Analytics 267

Smart Data Collective

MAY 28, 2022

You can use data analytics to make the following strategies more effective. Use Data Mining to Find the Best Strategies for Local SEO. There are two very important ways to use data analytics to get the most of your local SEO strategy. You can use data mining tools to find the best keywords to target.

Data Analytics 108

Data Analytics Analytics Data mining ROI 108

BizAcuity

MAY 16, 2022

Integrating data through data warehouses and data lakes is one of the standard industry best practices for optimizing business intelligence. Data mining. Data mining is a technique used for refining data by removing any anomalies to identify and understand relationships between variables.

Business Intelligence 52

Business Intelligence Data mining Visualization Data Lake 52

CIO Business Intelligence

OCTOBER 26, 2023

Business intelligence analyst job description A typical day for BI analysts includes collecting data from sources such as industry reports, public information, field reports, or purchased findings; analyzing data to identify trends; and sharing it with the proper stakeholders.

Business Intelligence 126

Business Intelligence Data-driven Statistics Data Warehouse 126

CIO Business Intelligence

SEPTEMBER 14, 2023

They’re often responsible for building algorithms for accessing raw data, too, but to do this, they need to understand a company’s or client’s objectives, as aligning data strategies with business goals is important, especially when large and complex datasets and databases are involved.

Analytics 132

Analytics Data Science Unstructured Data Data mining 132

Smart Data Collective

SEPTEMBER 25, 2023

While there are many benefits of big data technology, the steep price tag can’t be ignored. Companies need to appreciate the reality that they can drain their bank accounts on data analytics and data mining tools if they don’t budget properly. You can generate reports that highlight areas of overspending.

Data-driven 106

Data-driven IT Cost-Benefit Big Data 106

Smart Data Collective

MARCH 14, 2022

For instance, a popup can offer them access to a free analytics report that can help them grow their subscriber list by up to 500%. Data mining tools make it easier for them to research their issues in depth. You could use data mining tools to find public domain recipes and copy them into an ebook if you run a recipe site.

Analytics 94

Analytics Data mining Testing Sales 94

FineReport

JUNE 11, 2021

According to the definition, business intelligence and analytics refer to the data management solutions implemented in companies to collect, analyze and drive insights from data. Note: the reports and dashboards samples used here are made with FineReport. Here I also put some reports and dashboards developed by FineReport.

Business Intelligence 98

Business Intelligence Analytics Dashboards Statistics 98

FineReport

NOVEMBER 24, 2021

To fill the gap, marketing BI builds a solid foundation for business users to make use of massive data. For instance, Self-service BI allows business users to access and explore data sets even if they do not have a background in BI or related fields such as data mining and statistics. Improve the work efficiency.

Marketing 98

Marketing Dashboards Statistics Data mining 98

Smart Data Collective

SEPTEMBER 2, 2022

The good news is that big data can help with this. The McKinsey Institute report showed that data-driven businesses are 23 times more likely to acquire customers. The good news is there are ways to use big data to simplify and boost your efforts to guarantee success. Use Big Data for Reputation Management.

Big Data 119

Big Data Marketing Optimization Data mining 119

FineReport

MAY 6, 2020

Framework Big Data Processing: Hadoop, storm, spark. Data Warehous: SSIS, SSAS. Skill Data Mining: Matlab, R, Python. Seperti yang Anda ketahui, statistik adalah dasar analisis data. Statistik juga adalah sebuah skill utama seorang data analyst. Anda perlu memahami prinsip dibalik data.

Data mining 98

Data mining Data Warehouse Machine Learning Big Data 98

CIO Business Intelligence

FEBRUARY 10, 2023

The report projects the market will reach $38 billion by 2028, growing at a compound annual growth rate (CAGR) of about 20.4% Its flagship tool, Pipe Sleuth, uses an advanced, deep learning neural network model to do image analysis of small diameter sewer pipes, classify them, and then create a condition assessment report.

Predictive Analytics 139

Predictive Analytics Analytics Predictive Modeling Forecasting 139

Smart Data Collective

JANUARY 29, 2020

Small businesses should utilize their own big data tools to keep up with the evolving changes this has triggered. The IRS uses highly sophisticated data mining tools to identify underreporting by taxpayers. According to a recent report, they sent 3.7 Big data is being utilized for tax planning by companies of all sizes.

Predictive Analytics 63

Predictive Analytics Data mining Analytics Big Data 63

Smart Data Collective

APRIL 5, 2022

A search engine marketing firm helps with market analysis, designing, running, and managing campaigns, along with reporting results. These strategies can be very effective when used in conjunction with a stellar data analytics platform. You can use data mining tools to find new keywords to target. Reporting Results.

Marketing 126

Marketing Data Analytics Analytics Advertising 126

Smart Data Collective

JULY 8, 2021

A surprising four out of five financial professionals believe big data and AI is upending their business models. The data, from a global report on banking by NTT DATA, shows that the financial sector sees AI as a key to success in the near future, even if it has not been widely implemented yet.

Machine Learning 143

Machine Learning Management Finance Cost-Benefit 143

CIO Business Intelligence

OCTOBER 13, 2023

The data architect also “provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture,” according to DAMA International’s Data Management Body of Knowledge.

Data Architecture 128

Data Architecture Data Warehouse Statistics Visualization 128

Alation

MARCH 29, 2022

In the 1970s, data was confined to mainframes and primitive databases. Reports required a formal request of the few who could access that data. The 1980s ushered in the antithesis of this version of computing — personal computing and distributed database management — but also introduced duplicated data and enterprise data silos.

Business Intelligence 96

Business Intelligence Reporting Data mining Data-driven 96

FineReport

APRIL 9, 2024

Furthermore, the implementation of healthcare data mining techniques allows organizations to uncover hidden patterns and correlations within their datasets. Healthcare data governance frameworks define the policies, procedures, and guidelines for managing data assets effectively within a healthcare organization.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

CIO Business Intelligence

AUGUST 9, 2022

Data engineers are often responsible for building algorithms for accessing raw data, but to do this, they need to understand a company’s or client’s objectives, as aligning data strategies with business goals is important, especially when large and complex datasets and databases are involved. Data engineer salary.

Analytics 123

Analytics Data Science Statistics Unstructured Data 123

Smart Data Collective

MARCH 28, 2022

Diagnostic data analytics: It analyses the data from the past to identify the cause of an event by using techniques like data mining, data discovery, and drill down. Descriptive data analytics: It is the foundation of reporting, addressing questions like “how many”, “where”, “when”, and “what”.

Data Analytics 85

Data Analytics Software Analytics Statistics 85