Data analytics enables an enterprise to analyze all of its data (real-time, historical, unstructured, structured, qualitative) to identify patterns and generate insights to inform and in some cases automate decisions, linking data intelligence to action. Today’s best data analysis tool solutions support an end-to-end analysis process from accessing, preparing, and analyzing data to implementing analysis and monitoring results. Let’s take a look at what a data analysis tool can do.
I. The functions of basic data analysis tools include the following aspects
1. Business Intelligence and reporting
Analyzing data and providing actionable information to business executives and other end users so they can make informed business decisions is one of the greatest uses of data analytics. Data analytics, also known as “business intelligence,” is the information portal for any enterprise. Consumers, developers, data modelers, data quality managers, business leaders, operations managers, and others rely on reports and dashboards to help monitor business progress, status, interruptions, revenue, partners, and so on.
2. Data collation/data preparation
Good data analysis solutions include viable self-service data collation and data preparation capabilities that can easily and quickly collect data from a variety of incomplete, complex, or messy data sources and clean them up for easy mash-up and analysis.
3. Data visualization
To glean insights from data, many analysts and data scientists rely on data visualization or graphical representations of data to help people intuitively explore and identify patterns and outliers in data. Great data analysis solutions will include data visualization capabilities to make data exploration easier and faster.
4. Geospatial and location analysis
If your analysis solution does not include geospatial and location analysis, analyzing large data sets usually does not make sense. Adding this layer of intelligence to data analysis allows you to develop insights and discover relationships in data that you may not have seen before. You can better predict where your most valuable customers are and how they will buy your products.
5. Predictive analysis
Today, one of the biggest uses of business data analytics is to predict events. For example, predicting when a machine will break down or how much stock will be needed at a particular store at a particular time. Predictive analytics involves taking historical data and creating models to help predict future events. Traditionally, advanced analytics has been the domain of trained data scientists, statisticians, and data engineers. But as software advances, citizen data scientists are increasingly taking on these roles. Many analytics firms predict that citizen data scientists will outnumber data scientists in the number of advanced analytics generated.
Machine learning
Machine learning involves the automation of iteratively analyzing models using algorithms that repeatedly learn from data and optimize performance. With machine learning algorithms suitable for big data, you can make computers work to find new patterns and insights without explicitly programming their appearance. Looking for data analysis solutions that provide natural language search, image analysis and enhanced analysis.
7. Flow analysis
Handling real-time events in a pinch has become a key function of data analytics today. Real-time extraction of data from IoT streaming devices, video sources, audio sources, and social media platforms is an essential feature of today’s top analytics solutions.
Ii. Introduction of data analysis tools — Exin ABI
As a one-stop data analysis platform, Exin ABI integrates ETL data processing, data modeling, data visualization, data analysis, data filling, mobile applications and other core functions. Exin ABI is a business intelligence platform to help enterprises explore the value of data and drive enterprise progress. Help any role in the organization quickly process data, analyze and make decisions. It can not only support data backfill setting of analysis tables, but also complete data fusion, improve data quality and service data analysis.
Exin ABI has been used by more than 8,000 enterprises and is widely used in mainstream industries such as finance, tax, government, energy emergency response, healthcare, retail and manufacturing.