Sisense

APRIL 26, 2020

Companies and businesses focus a lot on data collection in order to make sure they can get valuable insights out of it. Understanding data structure is a key to unlocking its value. A data’s “structure” refers to a particular way of organizing and storing it in a database or warehouse so that it can be accessed and analyzed.

Data Warehouse 52

Data Warehouse Data Mining Artificial Intelligence Visualization 52

Sisense

MAY 11, 2021

Building the right data model will help you get the most out of your data and uncover game-changing actionable intelligence that you can embed into workflows, present to users, and use to evolve your business. The right data model + artificial intelligence = augmented analytics. Dig into AI. Dig into AI.

Data Modelling 84

Data Modelling Big Data Data Analytics Data Analytics 84

The BAWorld

NOVEMBER 22, 2021

Data analytics is the science of examining raw data to determine valuable insights and draw conclusions for creating better business outcomes. Data Cleaning. Imputing is the process of replacing null or blank values in the data set with meaningful values like mean, median, previous, next value, most frequent, etc.,

Data Analytics 98

Data Analytics Data Analytics Data Warehouse Data Modelling 98

Sisense

AUGUST 19, 2020

Disrupting Markets is your window into how companies have digitally transformed their businesses, shaken up their industries, and even changed the world through the use of data and analytics. The use of big data analytics and cloud computing has spiked phenomenally during the last decade.

Big Data 52

Big Data Cloud Computing Healthcare Pharmaceutical 52

GAVS Technology

MAY 7, 2021

Organizations are becoming increasingly digital and Artificial Intelligence is being deployed in many of them. The following are a few democratized AI services available as part of cloud providers (most of the examples are from Microsoft Eco System as a reference, however other providers also have similar services).

Healthcare 52

Healthcare Documentation Digital Artificial Intelligence 52

Data Pine

JANUARY 24, 2021

Methods like artificial neural networks (ANN) and autoregressive integrated moving average (ARIMA), time series, seasonal naïve approach, and data mining find wide application in data analytics nowadays. We’ve already explained them and recognized them as one of the biggest business intelligence trends for 2021.

Data Visualization 126

Data Visualization Data Analytics Data Analytics Data Quality 126

GAVS Technology

NOVEMBER 3, 2020

As mentioned in my earlier articles ( Healthcare Data Sharing & Zero Knowledge Proofs in Healthcare Data Sharing ), GAVS Rhodium framework enables Patient and Data Management and Patient Data Sharing and graph databases play a major part in providing patient 360 as well as for provider (doctor) credentialing data.

Healthcare 52

Healthcare Data Mining Data Warehouse Data Management 52

Marutitech

FEBRUARY 23, 2022

Predictive analytics refers to the use of machine learning algorithms and statistics to predict future outcomes and performances. Technique likes data mining, and predictive modeling estimates the likelihood of future outcomes and alerts you about upcoming events to help you make decisions.

Predictive Analytics 92

Predictive Analytics Supply Chain Pharmaceutical Retail 92

Data Pine

MARCH 31, 2022

Moreover, as this is becoming an increasingly competitive role (equal to a business intelligence analyst career path), you will also need to ensure that your ‘resume BI engineer’ is flawless, eye-catching, and innovative, especially if you want to set yourself apart from the pack. BI Project Manager.

Business Intelligence 95

Business Intelligence Business Intelligence Data Visualization Visualization 95

Marutitech

DECEMBER 17, 2021

With the advancements in technology, data mining, and machine learning tools, several types of predictive analytics models are available to work with. That’s why LSTM RNN is the preferable algorithm for predictive models like time-series or data like audio, video, etc. Top 5 Predictive Analytics Models.

Predictive Analytics 140

Predictive Analytics Data Mining Finance Data Analytics 140

GAVS Technology

DECEMBER 2, 2020

The benefits are obvious and individual hospitals may add more points to the above list; the rest of the article is about how to perform the patient segmentation using data mining techniques. Data Mining for Patient Segmentation. Reference Patient Segmentation Using K-Means Algorithm in GAVS Rhodium Platform.

Data Mining 52

Data Mining Healthcare Banking Retail 52

Insight Software

MAY 1, 2023

that gathers data from many sources. 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.” References Ask to speak to existing customers in similar verticals. Ask your vendors for references.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52

Insight Software

MAY 9, 2024

ETL is a specific type of data pipeline that focuses on the process of extracting data from sources, transforming it, and loading it into a destination, such as a data warehouse or data lake. ETL is primarily used for data warehousing and business intelligence applications.

IBM Maintenance 52

IBM Maintenance Data Warehouse IBM Support Real-time Data 52