Analysts Corner

OCTOBER 17, 2023

Orange: Orange is an open-source data mining and machine learning toolkit that provides a user-friendly graphical interface, making it easy for users to analyze data and create predictive models.

Data Mining 130

Data Mining Retail Healthcare Portfolio Management 130

BizAcuity

APRIL 19, 2019

Only, the data required to do this is not so easily available. Rooted in a comprehensive and proactive approach to real-time data analytics we aggregated player lifetime and frequency metrics and computed them to predict and analyse problem gaming behaviours or trends in players. That too, efficiently.

Data Mining 189

Data Mining Real-time Data Data Analytics Data Analytics 189

The BAWorld

APRIL 11, 2022

There’s never been a better time to broaden your data analytics knowledge. Still, if you’re considering getting a data analytics certification, you’ll want to know if it’s worth it. But which data analytics qualifications are the best? Convert business needs into data requirements.

IBM Maintenance 52

IBM Maintenance IBM cost IBM Support Data Analytics 52

The BAWorld

APRIL 11, 2022

There’s never been a better time to broaden your data analytics knowledge. Still, if you’re considering getting a data analyst certifications, you’ll want to know if it’s worth it. But which data analytics qualifications are the best? Convert business needs into data requirements.

IBM Maintenance 52

IBM Maintenance IBM cost IBM Support Data Analytics 52

The BAWorld

NOVEMBER 22, 2021

Top Data Analytics terms are explained in this article. Learn these to develop competency in Business Analytics. Data Analytics Terms & Fundamentals. Consistency is a data quality dimension and tells us how reliable the data is in data analytics terms. Also, see data visualization.

Data Analytics 98

Data Analytics Data Analytics Data Warehouse Data Modelling 98

Analysts Corner

OCTOBER 26, 2023

Implementing a successful BI system requires careful planning, a clear understanding of your organization’s data requirements, and the selection of the right tools and technologies, ensuring that your BI system supports your overall business goals and strategies.

Business Intelligence 130

Business Intelligence Business Intelligence Supply Chain Data Mining 130

Astera

FEBRUARY 7, 2024

Speedy data transfer proves crucial when real-time data delivery is needed, particularly for prompt decision-making. Streamlined Data Analytics With zero-ETL, it’s possible to access and analyze data as it flows.

Real-time Data 52

Real-time Data Cybersecurity Data Quality Monitoring 52

The BAWorld

APRIL 27, 2021

How are the Data Analytics projects executed? In this article, I am going to discuss and explain Data Analytics Projects Life Cycle. Over the last two years alone, 90 percent of the data in the world was generated! Looking at the sheer volume of data generated every minute across the globe can be mind-boggling.

Data Analytics 52

Data Analytics Data Analytics Data Visualization Visualization 52

ElegantJ BI

DECEMBER 11, 2019

This analytical agility will help them to see data clearly and gain insight and, while these tools may not produce 100% accuracy in the hands of a business users, there are many times throughout the work day where users need good, solid information but do NOT need strategic, analytical information that is 100% accurate.

Data Quality 130

Data Quality Agile Innovation Data Requirement 130

ElegantJ BI

DECEMBER 11, 2019

This analytical agility will help them to see data clearly and gain insight and, while these tools may not produce 100% accuracy in the hands of a business users, there are many times throughout the work day where users need good, solid information but do NOT need strategic, analytical information that is 100% accurate.

Data Quality 130

Data Quality Agile Innovation Data Requirement 130

Sisense

FEBRUARY 10, 2021

This presented the first challenge for our product team in building Cascade Insight: What is the data that is most important to capture? However, defining the data requirements was important for understanding what data you need to measure to provide analytical insights.

Skillset 52

Skillset Data Requirement Data Quality Documentation 52

Astera

DECEMBER 21, 2022

These data warehouses leverage the power of the cloud to offer enhanced scalability, flexibility, and elasticity to organizations. Today, more and more businesses are adopting cloud data warehouses as part of their data analytics and business intelligence strategies, owing to the benefits they offer.

Data Warehouse 52

Data Warehouse Supply Chain Business Intelligence Business Intelligence 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

Data Pine

MAY 2, 2023

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. The complex and ever-evolving nature of logistics makes it an essential use case for big data applications.

Supply Chain 110

Supply Chain Logistics Big Data Customer Experience 110

Actian

SEPTEMBER 12, 2019

As these distributed AI algorithms in edge devices become more sophisticated, persistent data requirements must advance at the same pace to enable the emerging use cases and immersive experiences that the market demands. You can learn more about Actian’s Cloud Data Warehouse here.

Data Requirement 8

Data Requirement Artificial Intelligence Data Warehouse Cloud Computing 8

Astera

JULY 18, 2023

Data Transformation: Datameer features a familiar, spreadsheet-like interface that makes it easy for users to navigate, explore, and manipulate data. Users can interact with data directly, apply formulas, and perform ad-hoc analysis within the intuitive interface.

Data Quality 52

Data Quality Visualization Data Visualization Documentation 52

Whizlabs

APRIL 21, 2021

As the IT world is flourishing, Amazon Glacier is the cold ideal storage platform by AWS for taking care of the crucial inactive data that plays a vital role in helping the businesses thrive. Different types of data require different storage requirements. Data Archiving.

Healthcare 97

Healthcare Government Digital Finance 97

Juice Analytics

MARCH 11, 2021

She crafts the interface and interactions to make the data intuitive. Business Analyst The Business Analyst translates application design into technical and data requirements. Data Scientist The Data Scientist defines the questions that will help end-users make better decisions.

Product Management 128

Product Management Product Management Vision Healthcare 128

Sisense

AUGUST 11, 2019

Or is Business Intelligence One Part of Business Analytics? How about now: others see BA as the whole caboodle – data warehousing, information management, predictive data analytics , reporting and so on, and BI as one strand of that. Confused yet?

Business Intelligence 75

Business Intelligence Business Intelligence Data Mining Predictive Analytics 75

Smart Data Collective

JULY 9, 2023

ETL (Extract, Transform, Load) is a crucial process in the world of data analytics and business intelligence. By understanding the power of ETL, organisations can harness the potential of their data and gain valuable insights that drive informed choices.

Data Warehouse 213

Data Warehouse Data Quality Data Analytics Data Analytics 213

Smart Data Collective

OCTOBER 17, 2022

While growing data enables companies to set baselines, benchmarks, and targets to keep moving ahead, it poses a question as to what actually causes it and what it means to your organization’s engineering team efficiency. What’s causing the data explosion? Big data analytics from 2022 show a dramatic surge in information consumption.

Big Data 259

Big Data Government Data Governance Data Warehouse 259

TIBCO

FEBRUARY 22, 2019

Just like over the counter medicine, data requires the same types of supporting information and documentation to ensure the information is communicated effectively. The five components that can make data more “over the counter” and consumable are: the content, label, display, supplementary documentation, and an online help system.

Data Visualization 40

Data Visualization Documentation Visualization Data Requirement 40

Astera

MAY 6, 2024

Best For: Businesses that require a wide range of data mining algorithms and techniques and are working directly with data inside Oracle databases. Sisense Sisense is a data analytics platform emphasizing flexibility in handling diverse data architectures.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Astera

MARCH 11, 2024

7 Best Snowflake ETL Tools The following ETL tools for Snowflake are popular for meeting the data requirements of businesses, particularly those utilizing the Snowflake data warehouse.

Data Warehouse 52

Data Warehouse Documentation Monitoring Data Quality 52

Tableau

APRIL 6, 2022

We’ve seen it through the pandemic where analytics went from a nice-to-have to being mission-critical. Dynamic data and visualizations will aid providers in taking a holistic approach to wellbeing in care models, including integration of SDOH data. This is where the intersection with telemedicine perfectly aligns.

Healthcare 97

Healthcare Supply Chain Real-time Data Government 97

Tableau

APRIL 6, 2022

We’ve seen it through the pandemic where analytics went from a nice-to-have to being mission-critical. Dynamic data and visualizations will aid providers in taking a holistic approach to wellbeing in care models, including integration of SDOH data. This is where the intersection with telemedicine perfectly aligns.

Healthcare 92

Healthcare Supply Chain Real-time Data Government 92

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

Tableau

JUNE 8, 2021

Applying a DEI lens to how we analyze, visualize, and communicate data requires empathizing with both the communities whose data we are visualizing as well as the readers and target audiences for our work. linkedin twitter. Renee: What was the catalyst for the Do No Harm Guide?

Visualization 98

Visualization Data Visualization Government Documentation 98

Marutitech

DECEMBER 17, 2021

This predictive analytics algorithm was initially developed by Facebook and is used internally by the company for forecasting. Manual forecasting of data requires hours of labor work with highly professional analysts to draw out accurate outputs. Maruti Techlabs as Your Predictive Analytics Consulting Partner.

Predictive Analytics 140

Predictive Analytics Data Mining Finance Data Analytics 140

Cprime

MAY 4, 2023

Key Data Integration Use Cases Let’s focus on the four primary use cases that require various data integration techniques: Data ingestion Data replication Data warehouse automation Big data integration Data Ingestion The data ingestion process involves moving data from a variety of sources to a storage location such as a data warehouse or data lake.

Data Warehouse 52

Data Warehouse Big Data Finance Data Quality 52

Tableau

JUNE 8, 2021

Applying a DEI lens to how we analyze, visualize, and communicate data requires empathizing with both the communities whose data we are visualizing as well as the readers and target audiences for our work. linkedin twitter. Renee: What was the catalyst for the Do No Harm Guide?

Visualization 52

Visualization Data Visualization Government Documentation 52

Astera

DECEMBER 21, 2022

Across all sectors, success in the era of Big Data requires robust management of a huge amount of data from multiple sources. Whether you are running a video chat app, an outbound contact center, or a legal firm, you will face challenges in keeping track of overwhelming data. Analytics .

Data Management 52

Data Management Data Governance Government Data Warehouse 52

Actian

OCTOBER 21, 2019

Actian Avalanche’s ability to handle mixed-workloads means that data discovery, ad-hoc querying, batch reporting, and real-time data updates can all be happening simultaneously without the need to reconfigure the environment for each different use case and without any one of these use cases feeling the impact of the others.

Vision 40

Vision Data Warehouse Retail Data Discovery 40

Data Pine

OCTOBER 30, 2019

But let’s get into the basics in more detail, and afterward, we will explore data reporting examples that you can use for your own internal processes and more. Data Reporting Basics. Data analytics is the science of examining raw data with the purpose of drawing conclusions about that information.

Visualization 51

Visualization Retail Data Visualization Government 51

Astera

SEPTEMBER 20, 2023

It ensures businesses can harness the full potential of their data assets effectively and efficiently. It empowers them to remain competitive and innovative in an increasingly data-centric landscape by streamlining data analytics, business intelligence (BI) , and, eventually, decision-making.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data E-Commerce 52

Astera

SEPTEMBER 20, 2023

It ensures businesses can harness the full potential of their data assets effectively and efficiently. It empowers them to remain competitive and innovative in an increasingly data-centric landscape by streamlining data analytics, business intelligence (BI) , and, eventually, decision-making.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data E-Commerce 52

Astera

APRIL 24, 2024

Best for: Businesses looking for an end-to-end data management solution from extraction to data integration, data warehousing, and even API management. Alteryx Alteryx is a data analytics platform offering a suite of data aggregation tools.

IBM Support 52

IBM Support IBM Maintenance IBM cost E-Commerce 52