Astera

MAY 6, 2024

What Is Data Mining? Data mining , also known as Knowledge Discovery in Data (KDD), is a powerful technique that analyzes and unlocks hidden insights from vast amounts of information and datasets. What Are Data Mining Tools? Type of Data Mining Tool Pros Cons Best for Simple Tools (e.g.,

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Smart Data Collective

OCTOBER 11, 2021

You’ll need to be very acquainted with SQL, a foundational programming language in the realm of data science, and be at least somewhat familiar with other languages and frameworks like Python, Spark, and Kafka. In addition to boosting your skills, this step will help you assemble a portfolio of work to show off your talent.

Data Mining 331

Data Mining Big Data Data Management 331

The Data Administration Newsletter

JULY 18, 2023

The recently published report by Research Nester, Global Data Mining Tool Market: Global Demand Analysis & Opportunity Outlook 2027, delivers detailed overview of the global data mining tool market in terms of market segmentation by service type, function type, industry type, deployment type, and region.

Data Mining 52

Data Mining Big Data Data Management Business Intelligence 52

Smart Data Collective

SEPTEMBER 26, 2021

Data is processed to generate information, which can be later used for creating better business strategies and increasing the company’s competitive edge.

Documentation 326

Documentation Data Visualization Data Mining Visualization 326

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. In this example, based on the graph, it looks like k = 4 would be a good value to try.

Data Mining 52

Data Mining Healthcare Banking Retail 52

Smart Data Collective

SEPTEMBER 17, 2020

Data analytics has created new risks with digital security. However, analytics can also create new opportunities to protect digital data in other ways. You can use data mining tools to monitor the ways that employees use resources more easily. Monitor Computer Usage.

Data Analytics 270

Data Analytics Data Analytics Big Data Cybersecurity 270

Adaptive US

SEPTEMBER 27, 2024

Readers will learn how to craft compelling narratives from their data, identify outliers, and mitigate bias to improve decision-making. This content aims to help individuals unlock greater personal and professional growth in their data management efforts by addressing common pain points associated with data mining and representation.

Data Visualization 105

Data Visualization Visualization Data Mining Data Management 105

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.

Big Data 266

Big Data Artificial Intelligence Data Mining Government 266

Smart Data Collective

MAY 15, 2019

They use a variety of data mining tools to make this possible. These messages might encourage the recipient to take some sort of action that can lead to further data exploitation. . #1 Bluebugging.

Big Data 267

Big Data Data Mining Digital Data Security 267

ElegantJ BI

APRIL 28, 2021

In today’s business environment, most organizations are overwhelmed with data and looking for a way to tame the data overload and make it more manageable to help team members gather and analyze data and make the most of the information contained within the walls of the enterprise.

Data Warehouse 130

Data Warehouse Data Mining Data Management Data Governance 130

ElegantJ BI

APRIL 28, 2021

In today’s business environment, most organizations are overwhelmed with data and looking for a way to tame the data overload and make it more manageable to help team members gather and analyze data and make the most of the information contained within the walls of the enterprise. Data Warehouse. Data Lake.

Data Warehouse 130

Data Warehouse Data Mining Data Management Data Governance 130

BizAcuity

APRIL 1, 2023

Issues that come up because of incoherent data strategy and poor data management includes- Latency, poor data quality, risky data security measures, and higher costs KPI Analysis: Organizations that are not effectively tracking their KPIs are at a competitive disadvantage.

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Mining 130

BizAcuity

JANUARY 31, 2023

Issues that come up because of incoherent data strategy and poor data management includes- Latency, poor data quality, risky data security measures, and higher costs KPI Analysis: Organizations that are not effectively tracking their KPIs are at a competitive disadvantage.

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Mining 130

BizAcuity

SEPTEMBER 16, 2019

Agile, centralized BI provisioning: Supports an agile IT-enabled workflow, from data to centrally delivered and managed analytic content, using the platform’s self-contained data management capabilities. It provides reporting including web-based reports and dashboards, data integration tools and data visualization.

Visualization 174

Visualization Data Visualization Agile Business Intelligence 174

BizAcuity

NOVEMBER 8, 2019

Agile, centralized BI provisioning: Supports an agile IT-enabled workflow, from data to centrally delivered and managed analytic content, using the platform’s self-contained data management capabilities. It provides reporting including web-based reports and dashboards, data integration tools and data visualization.

Visualization 154

Visualization Data Visualization Agile Business Intelligence 154

Analysts Corner

FEBRUARY 23, 2023

Business analysts are responsible for interpreting and analyzing data, and providing recommendations based on their findings to help organisations achieve their goals. The field of business analytics is diverse, and there are many different areas of specialisation, including data mining, predictive modeling, and data visualisation.

Supply Chain 130

Supply Chain Healthcare Logistics Finance 130

The BAWorld

NOVEMBER 8, 2024

It is described using methods like drill-down, data discovery, data mining, and correlations. To identify the underlying causes of occurrences, diagnostic analytics examines data more closely. Diagnostic Analytics : Analytics experts can use diagnostic analytics to ascertain why something occurred.

Predictive Analytics 40

Predictive Analytics Data Discovery Data Mining Visualization 40

Marutitech

JANUARY 21, 2022

The primary responsibility of a data science manager is to ensure that the team demonstrates the impact of their actions and that the entire team is working towards the same goals defined by the requirements of the stakeholders. 2. Manage people. Data Understanding. Interpreting data. Track performance. 2.

Project Management 113

Project Management Data Mining Data Analytics Data Analytics 113

Astera

NOVEMBER 27, 2023

It includes format checks, range checks, and consistency checks to ensure data is clean, correct, and logically consistent. Understanding the Difference: Data Profiling vs. Data Mining Data profiling and data mining are two distinct processes with different objectives and methodologies.

Data Mining 52

Data Mining Data Quality Business Intelligence Business Intelligence 52

BizAcuity

NOVEMBER 8, 2019

Agile, centralized BI provisioning: Supports an agile IT-enabled workflow, from data to centrally delivered and managed analytic content, using the platform’s self-contained data management capabilities. It provides reporting including web-based reports and dashboards, data integration tools and data visualization.

Visualization 100

Visualization Data Visualization Agile Business Intelligence 100

BizAcuity

NOVEMBER 8, 2019

Agile, centralized BI provisioning: Supports an agile IT-enabled workflow, from data to centrally delivered and managed analytic content, using the platform’s self-contained data management capabilities. It provides reporting including web-based reports and dashboards, data integration tools and data visualization.

Visualization 100

Visualization Data Visualization Agile Business Intelligence 100

Astera

DECEMBER 21, 2022

A voluminous increase in unstructured data has made data management and data extraction challenging. The data needs to be converted into machine-readable formats for analysis. However, the growing importance of data-driven decisions has changed how managers make strategic choices.

Data Mining 52

Data Mining Documentation Data Quality Data Warehouse 52

Astera

MAY 30, 2024

With today’s technology, data analytics can go beyond traditional analysis, incorporating artificial intelligence (AI) and machine learning (ML) algorithms that help process information faster than manual methods. Data analytics has several components: Data Aggregation : Collecting data from various sources.

Data Analytics 52

Data Analytics Data Analytics Data Mining Supply Chain 52

GAVS Technology

SEPTEMBER 2, 2021

Some examples of areas of potential application for small and wide data are demand forecasting in retail, real-time behavioral and emotional intelligence in customer service applied to hyper-personalization, and customer experience improvement. Master Data is key to the success of AI-driven insight. link] [link].

Master Data Management 52

Master Data Management Healthcare Big Data Data Mining 52

Data Pine

MAY 14, 2019

This interdisciplinary field of scientific methods, processes, and systems helps people extract knowledge or insights from data in a host of forms, either structured or unstructured, similar to data mining. Best for: The budding data manager or data miner with a desire to make sense of information in the modern age and beyond.

Artificial Intelligence 140

Artificial Intelligence Big Data Business Intelligence Business Intelligence 140

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

GAVS Technology

JUNE 2, 2021

In the recently announced Technology Trends in Data Management, Gartner has introduced the concept of “Data Fabric”. Here is the link to the document, Top Trends in Data and Analytics for 2021: Data Fabric Is the Foundation (gartner.com). What is Data Fabric? Data Virtualization.

Healthcare 52

Healthcare Data Governance Government Data Mining 52

Data Pine

MARCH 25, 2019

What Is A Data Analysis Method? Data analysis method focuses on strategic approaches to taking raw data, mining for insights that are relevant to the business’s primary goals, and drilling down into this information to transform metrics, facts, and figures into initiatives that benefit improvement. Harvest your data.

Big Data 87

Big Data Visualization Data Analytics Data Analytics 87

Actian

JULY 29, 2019

You also need your data aggregated and optimized for analytics to generate both real-time insights and perform deep data-mining activities. This approach lets you leverage the cloud-processing power and scale for processing without moving all your data. To learn more, visit www.actian.com/avalanche.

Data Mining 8

Data Mining Digital Transformation Digital Data Modelling 8

Business Analysis Knowledge Share

MARCH 15, 2023

Let’s understand what a Data warehouse is and talk through some key concepts Datawarehouse Concepts for Business Analysis Data warehousing is a process of collecting, storing and managing data from various sources to support business decision making. What is Data Warehousing?

Big Data 52

Big Data Data Analytics Data Analytics Data Warehouse 52

GAVS Technology

FEBRUARY 3, 2021

He is currently focused on Healthcare Data Management Solutions for the post-pandemic Healthcare era, using the combination of Multi Modal databases, Blockchain and Data Mining. About the Author – Srini is the Technology Advisor for GAVS.

Supply Chain 52

Supply Chain Pharmaceutical Healthcare Data Mining 52

Data Pine

MAY 29, 2019

Data cleansing, metadata management, data distribution, storage management, recovery, and backup planning are processes conducted in a data warehouse while BI makes use of tools that focus on statistics, visualization, and data mining. But let’s see this through our next major aspect.

Business Intelligence 78

Business Intelligence Business Intelligence Data Warehouse Visualization 78

GAVS Technology

JANUARY 7, 2021

GAVS Reference Implementation Rhodium to cater to Healthcare Data Management and Interoperability has positioned Blockchain as a core mechanism for patient data sharing, we will share more of our thoughts and details of reference implementation in the coming articles in this series.

Healthcare 52

Healthcare Data Modelling Data Mining Government 52

GAVS Technology

AUGUST 5, 2021

He is currently focused on Healthcare Data Management Solutions for the post-pandemic Healthcare era, using the combination of Multi-Modal databases, Blockchain, and Data Mining. About the Author – Srinivasan Sundararajan. Srini is the Technology Advisor for GAVS.

Healthcare 52

Healthcare Monitoring Data Mining Documentation 52

Astera

FEBRUARY 27, 2024

Data access tools : Data access tools let you dive into the data warehouse and data marts. We’re talking about query and reporting tools, online analytical processing (OLAP) tools, data mining tools, and dashboards. How Does a Data Warehouse Work? Why Do Businesses Need a Data Warehouse?

Data Warehouse 52

Data Warehouse Data Quality Cloud Computing Monitoring 52

Astera

FEBRUARY 27, 2024

Data access tools : Data access tools let you dive into the data warehouse and data marts. We’re talking about query and reporting tools, online analytical processing (OLAP) tools, data mining tools, and dashboards. How Does a Data Warehouse Work? Why Do Businesses Need a Data Warehouse?

Data Warehouse 52

Data Warehouse Data Quality Cloud Computing Monitoring 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. Your choice of method should depend on the type of data you’ve collected, your team’s skills, and your resources.

Data Visualization 126

Data Visualization Data Analytics Data Analytics Data Quality 126