Sisense

AUGUST 14, 2020

In the case of a stock trading AI, for example, product managers are now aware that the data required for the AI algorithm must include human emotion training data for sentiment analysis. Predictive analytics AI boosts web app performance.

Healthcare 98

Healthcare Cybersecurity Predictive Analytics Artificial Intelligence 98

Astera

JANUARY 23, 2024

Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively. Traditional data warehouses with predefined data models and schemas are rigid, making it difficult to adapt to evolving data requirements.

Agile 52

Agile Data Warehouse Data Quality Government 52

Astera

OCTOBER 19, 2023

An agile tool that can easily adopt various data architecture types and integrate with different providers will increase the efficiency of data workflows and ensure that data-driven insights can be derived from all relevant sources. Adaptability is another important requirement.

IBM Support 40

IBM Support Data Quality IBM Maintenance Real-time Data 40

Sisense

AUGUST 11, 2019

Ultimately, these questions will help you establish the level of self-service you need, and whether your data requirements are geared more towards descriptive or predictive analytics, leading your business in the right direction – regardless of the terminology behind the tool.

Business Intelligence 75

Business Intelligence Business Intelligence Data Mining Predictive Analytics 75

Sisense

OCTOBER 6, 2020

Traditional methods of gathering and organizing data can’t organize, filter, and analyze this kind of data effectively. What seem at first to be very random, disparate forms of qualitative data require the capacity of data warehouses , data lakes , and NoSQL databases to store and manage them.

Visualization 98

Visualization Data Warehouse Innovation Predictive Analytics 98

Astera

DECEMBER 21, 2022

The 2020 Global State of Enterprise Analytics report reveals that 59% of organizations are moving forward with the use of advanced and predictive analytics. For this reason, most organizations today are creating cloud data warehouse s to get a holistic view of their data and extract key insights quicker.

Data Warehouse 52

Data Warehouse Supply Chain Business Intelligence Business Intelligence 52

Data Pine

MAY 2, 2023

To work effectively, big data requires a large amount of high-quality information sources. Where is all of that data going to come from?

Supply Chain 110

Supply Chain Logistics Big Data Customer Experience 110

Astera

MARCH 13, 2023

Therefore, marketers and website owners must transition to GA4 to gain access to their web analytics data and truly understand their user’s journey at every touchpoint. What is GA4 ? “GA4” is the future of analytics. Data Visualization : Explorations contain multiple report formats.

Predictive Analytics 52

Predictive Analytics Data Warehouse Visualization Data Visualization 52

Astera

MAY 6, 2024

RapidMiner RapidMiner is an open-source platform widely recognized in the field of data science. It offers several tools that help in various stages of the data analysis process, including data mining, text mining, and predictive analytics.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Astera

OCTOBER 27, 2023

Here are more benefits of a cloud data warehouse: Enhanced Accessibility Cloud data warehouses allow access to relevant data from anywhere in the world. What’s more, they come with access control features to ensure that the data required for BI is only visible to the relevant personnel.

Data Warehouse 52

Data Warehouse Data Quality Big Data Predictive Analytics 52

Astera

NOVEMBER 1, 2023

A data warehouse may be the better choice if the business has vast amounts of data that require complex analysis. Data warehouses are designed to handle large volumes of data and support advanced analytics, which is why they are ideal for organizations with extensive historical data requiring in-depth analysis.

Data Warehouse 40

Data Warehouse Real-time Data E-Commerce Data Governance 40

The BAWorld

NOVEMBER 22, 2021

Data Modeling. Data modeling is a process used to define and analyze data requirements needed to support the business processes within the scope of corresponding information systems in organizations. For example, accurate data processing for ATMs or online banking. Predictive Analytics.

Data Analytics 98

Data Analytics Data Analytics Data Warehouse Data Modelling 98

Data Pine

OCTOBER 30, 2019

What data and insights do your shareholders require? Understand the scope of data required and think about how you will want to use that data. Utilize as many data sources as possible. But don’t go data crazy and get bogged down in unnecessary information. Also, you should always proofread!

Visualization 51

Visualization Retail Data Visualization Government 51

Data Pine

NOVEMBER 27, 2019

The demand for real-time online data analysis tools is increasing and the arrival of the IoT (Internet of Things) is also bringing an uncountable amount of data, which will promote the statistical analysis and management at the top of the priorities list. It’s an extension of data mining which refers only to past data.

Business Intelligence 144

Business Intelligence Business Intelligence Artificial Intelligence Data Discovery 144

Insight Software

MAY 1, 2023

Strategic Objective Create an engaging experience in which users can explore and interact with their data. Requirement Filtering Users can choose the data that is important to them and get more specific in their analysis. Drilling Users can dig deeper and gain greater insights into the underlying data.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52

Insight Software

MAY 4, 2021

BusinessObjects cannot support real-time data changes, making it unwieldy for ad hoc reporting. Some of the tools in the BusinessObjects BI Suite do not work well with financial data, requiring complex formulas in order to create financial reports. That, in turn, requires the involvement of IT experts in the process.

IBM Maintenance 52

IBM Maintenance IBM Support IBM cost Finance 52