Astera

JANUARY 23, 2024

Businesses need scalable, agile, and accurate data to derive business intelligence (BI) and make informed decisions. Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively. This tailored approach is central to agile BI practices.

Agile 52

Agile Data Warehouse Data Quality Government 52

BizAcuity

NOVEMBER 8, 2019

Include easy-to-use tools that support the full analytic workflow — from data preparation and ingestion to visual exploration and insight generation. Have the ability to self-service and be agile enough to be configured. Ability to ingest data from unstructured as well as structured sources with same ease and effectiveness.

Visualization 100

Visualization Data Visualization Agile Business Intelligence 100

BizAcuity

NOVEMBER 8, 2019

Include easy-to-use tools that support the full analytic workflow — from data preparation and ingestion to visual exploration and insight generation. Have the ability to self-service and be agile enough to be configured. Ability to ingest data from unstructured as well as structured sources with same ease and effectiveness.

Visualization 100

Visualization Data Visualization Agile Business Intelligence 100

Data Pine

OCTOBER 25, 2022

7) “Data Science For Business: What You Need To Know About Data Mining And Data-Analytic Thinking” by Foster Provost & Tom Fawcett. Don’t be deceived by the advanced data mining topics covered in the book – we guarantee that it will teach you a host of practical skills.

Business Intelligence 117

Business Intelligence Business Intelligence Big Data Data Mining 117

Marutitech

JANUARY 21, 2022

Companies worldwide follow various approaches to deal with the process of data mining. . This method is generally known as the CRISP-DM, abbreviated as Cross-Industry Standard Process for Data Mining. . Data Understanding. How the Data Science Process Aligns with Agile . Implement effective process .

Project Management 113

Project Management Data Mining Data Analytics Data Analytics 113

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. Enabling specialization provides not only lead to better performance, but also a path to long-term scalability and business agility.

Data Mining 8

Data Mining Digital Transformation Digital Data Modelling 8

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

Data Pine

MAY 29, 2019

That’s a fact in today’s competitive business environment that requires agile access to a data storage warehouse , organized in a manner that will improve business performance, deliver fast, accurate, and relevant data insights. Effective decision-making processes in business are dependent upon high-quality information.

Business Intelligence 78

Business Intelligence Business Intelligence Data Warehouse Visualization 78

Actian

AUGUST 5, 2019

Do you need to replicate data to your cloud data warehouse? When looking at your data integration needs for a cloud app, consider what (if any) of the application’s data needs to be replicated into your data warehouse for data mining and detailed analytics.

Data Warehouse 40

Data Warehouse Data Mining Agile Digital 40

Actian

AUGUST 5, 2019

Do you need to replicate data to your cloud data warehouse? When looking at your data integration needs for a cloud app, consider what (if any) of the application’s data needs to be replicated into your data warehouse for data mining and detailed analytics.

Data Warehouse 8

Data Warehouse Data Mining Agile Digital 8

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. Predictive data can help you be much more agile in your decision-making since it will help you analyze the impact of various variables on your supply chain’s efficiency.

Predictive Analytics 92

Predictive Analytics Supply Chain Pharmaceutical Retail 92

The BAWorld

FEBRUARY 12, 2024

Instead, they are processed by various data mining algorithms that use pre-occupied data to make the business model. Objective views of the workflow are assured because business process modelling works on quantitative data. First, however, you need to understand a few aspects of business process modeling before moving.

Process Modelling 40

Process Modelling UML Data Mining Visualization 40

Astera

AUGUST 5, 2024

For example, business leaders can leverage customer behavior data to understand their target audience better. They can also use data to optimize processes, and predict future outcomes. These capabilities are crucial for staying competitive and agile in today’s data-driven economy.

Supply Chain 40

Supply Chain Logistics Visualization Predictive Analytics 40

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

Astera

FEBRUARY 28, 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.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Smart Data Collective

OCTOBER 25, 2023

Well, it is – to the ones that are 100% familiar with it – and it involves the use of various data sources, including internal data from company databases, as well as external data, to generate insights, identify trends, and support strategic planning. For a beginner, it’s a lot in one place.

Digital 305

Digital Business Intelligence Business Intelligence Monitoring 305

GlowTouch

JULY 6, 2021

A strategic and agile supply chain is necessary during normal times; in emergencies, it can spell the difference between timely response and disaster. Predictive analysis helps avoid shortages In a data-driven world, there are few excuses for the inability to anticipate potential situations.

Healthcare 52

Healthcare Supply Chain Innovation Artificial Intelligence 52

ElegantJ BI

MAY 25, 2018

These tools allow for access to crucial data and enable users to mash up and integrate data, clarify analysis and use sophisticated algorithms in an intuitive environment to balance agility with data governance.

Data Discovery 130

Data Discovery Data Mining Data Analytics Data Analytics 130

ElegantJ BI

MAY 25, 2018

These tools allow for access to crucial data and enable users to mash up and integrate data, clarify analysis and use sophisticated algorithms in an intuitive environment to balance agility with data governance.

Data Discovery 130

Data Discovery Data Mining Data Analytics Data Analytics 130

ElegantJ BI

MAY 25, 2018

These tools allow for access to crucial data and enable users to mash up and integrate data, clarify analysis and use sophisticated algorithms in an intuitive environment to balance agility with data governance.

Data Discovery 130

Data Discovery Data Mining Data Analytics Data Analytics 130

Data Pine

NOVEMBER 27, 2019

Using online data visualization tools to perform those actions is becoming an invaluable resource to produce relevant insights and create a sustainable decision-making process. Agile and flexible. Allows easy handling of a high volume and variety of data. 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

ElegantJ BI

DECEMBER 12, 2018

A self-serve advanced analytics solution Incorporates computational linguistics, analytical algorithms and data mining into a self-serve environment and provides an easy-to-use NLP search capability for swift, accurate data analysis.

Data Discovery 130

Data Discovery Data Mining Business Intelligence Business Intelligence 130

ElegantJ BI

DECEMBER 12, 2018

A self-serve advanced analytics solution Incorporates computational linguistics, analytical algorithms and data mining into a self-serve environment and provides an easy-to-use NLP search capability for swift, accurate data analysis.

Data Discovery 130

Data Discovery Data Mining Business Intelligence Business Intelligence 130

ElegantJ BI

DECEMBER 12, 2018

A self-serve advanced analytics solution Incorporates computational linguistics, analytical algorithms and data mining into a self-serve environment and provides an easy-to-use NLP search capability for swift, accurate data analysis. Improved agility for business development. Transformation to citizen data scientists.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Mining 130

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.” The key is to stay agile and approach embedded analytics in an iterative way. Standalone is a thing of the past. Get feedback and move forward.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52

Insight Software

MAY 9, 2024

By processing data as it arrives, streaming data pipelines support more dynamic and agile decision-making. Organizations can use data pipelines to support real-time data analysis for operational intelligence. By applying AI-driven data cleaning techniques, data pipelines become more efficient and reliable.

IBM Maintenance 52

IBM Maintenance Data Warehouse IBM Support Real-time Data 52

Insight Software

NOVEMBER 7, 2023

The Challenges of Extracting Enterprise Data Currently, various use cases require data extraction from your OCA ERP, including data warehousing, data harmonization, feeding downstream systems for analytical or operational purposes, leveraging data mining, predictive analysis, and AI-driven or augmented BI disciplines.

IBM Maintenance 52

IBM Maintenance IBM Support Data Warehouse IBM cost 52