Analysts Corner

OCTOBER 26, 2023

Data Analysis: The data analysis component of BI involves the use of various tools and techniques to explore, analyze, and visualize the data, enabling users to derive valuable insights and make informed decisions.

Business Intelligence 130

Business Intelligence Business Intelligence Supply Chain Data Mining 130

Marutitech

DECEMBER 17, 2021

Simply put, predictive analytics is predicting future events and behavior using old data. Predicting future events gives organizations the advantage to understand their customers and their business with a better approach. Once the preparation is finished, data is then modeled, evaluated, and deployed. .

Predictive Analytics 140

Predictive Analytics Data Mining Finance Data Analytics 140

Sisense

MAY 11, 2021

When it comes to data modeling, function determines form. Let’s say you want to subject a dataset to some form of anomaly detection; your model might take the form of a singular event stream that can be read by an anomaly detection service. The right data model + artificial intelligence = augmented analytics.

Data Modelling 84

Data Modelling Big Data Data Analytics Data Analytics 84

Sisense

APRIL 26, 2020

Key points to keep in mind about semi-structured data: Falls under the heading of unstructured data, but it has some lower-degree organization (still falls short of relational databases) Can be coerced into useful and easy-to-leverage table formats Examples of semi-structured data include XML, JSON, Emails, NoSQL DBs, event tracking, and web pages.

Data Warehouse 52

Data Warehouse Data Mining Artificial Intelligence Visualization 52

GAVS Technology

NOVEMBER 3, 2020

As evident in most hospitals, these information are usually scattered across multiple data sources/databases. Hospitals typically create a data warehouse by consolidating information from multiple resources and try to create a unified database. Patient 360 data collection plays a major role in building the patient journey mapping.

Healthcare 52

Healthcare Data Mining Data Warehouse Data Management 52

Marutitech

FEBRUARY 23, 2022

Technique likes data mining, and predictive modeling estimates the likelihood of future outcomes and alerts you about upcoming events to help you make decisions. The insights strengthen your marketing campaign and highlight your customers’ needs in year-based events, conferences, and functions.

Predictive Analytics 92

Predictive Analytics Supply Chain Pharmaceutical Retail 92

Marutitech

APRIL 7, 2022

Predictive analytics is a new wave of data mining techniques and technologies which use historical data to predict future trends. Predictive Analytics allows businesses and investors to adjust their resources to take advantage of possible events and address issues before becoming problems.

Predictive Analytics 98

Predictive Analytics Data Modelling Data Mining Data Requirement 98

Astera

AUGUST 5, 2024

The aim is to provide a clear understanding of what has happened in the past by transforming raw data into meaningful summaries and visualizations. Predictive Analysis : Predictive analysis goes further by using historical data to forecast future events. ” to understand current trends and predict future outcomes.

Supply Chain 40

Supply Chain Logistics Visualization Predictive Analytics 40

Smart Data Collective

APRIL 13, 2021

As streaming giants are utilizing big data , artificial intelligence, psychological concepts, data mining, machine learning, ad data sciences to improve user’s experience – a VPN can further enhance this experience. Can your risk your name, address, ad credit card detail for watching a sports event?

Big Data 266

Big Data Artificial Intelligence Data Mining Government 266

The BAWorld

NOVEMBER 22, 2021

It is used to answer the question, “Why did a certain event occur?” Exploratory Data Analysis. Exploratory data analysis is an approach used in data analytics terms to maximize the insights gained from data by investigating, analyzing, and summarizing data to uncover relevant patterns using visuals.

Data Analytics 98

Data Analytics Data Analytics Data Warehouse Data Modelling 98

Data Pine

NOVEMBER 27, 2019

Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story. 2020 will be the year of data quality management and data discovery: clean and secure data combined with a simple and powerful presentation. 3) Artificial Intelligence.

Business Intelligence 144

Business Intelligence Business Intelligence Artificial Intelligence Data Discovery 144

GAVS Technology

MAY 7, 2021

Organizations are becoming increasingly digital and Artificial Intelligence is being deployed in many of them. This framework allows for maximum throughput and lowest latency when making personalization ranks and training the model with all events. Srinivasan Sundararajan. Democratization of AI in Healthcare. Anomaly Detection.

Healthcare 52

Healthcare Documentation Digital Artificial Intelligence 52

Insight Software

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.” Predictive analytics use a combination of data sets from multiple sources to find relationships and correlations. Standalone is a thing of the past. Privacy Policy.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52

Insight Software

MAY 9, 2024

Machine Learning Machine learning (ML) can enhance data pipeline effectiveness by leveraging artificial intelligence (AI) and algorithms to optimize data management and processing for improved insights and decision-making. I understand that I can withdraw my consent at any time. Privacy Policy.

IBM Maintenance 52

IBM Maintenance Data Warehouse IBM Support Real-time Data 52