Analysts Corner

OCTOBER 17, 2023

Fraud Detection: Data mining can be used to detect fraudulent activities by analyzing transactional data for unusual patterns or behavior. Healthcare: Data mining can help healthcare organizations analyze patient data to improve patient care, streamline operations, and optimize resource allocation.

Data Mining 130

Data Mining Retail Healthcare Portfolio Management 130

Analysts Corner

AUGUST 11, 2022

So you may need the help of either an AWS consultant or a tech expert capable of planning cloud architectures. Yet still, Azure offers less flexibility in individual plans and is believed to be more expensive than AWS. You need to know everything about the data you are planning to host on the cloud?—?its

IBM Support 130

IBM Support IBM Maintenance IBM cost Digital Transformation 130

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. Backup & Restoration of Data In Case of Critical Breakdowns.

Healthcare 97

Healthcare Government Digital Finance 97

The BAWorld

NOVEMBER 24, 2023

Organizations may gain a competitive advantage, streamline operations, improve customer experiences, and manage complicated challenges by analyzing massive amounts of data. As the volume and complexity of data increase, DA will become increasingly important in managing the digital age’s difficulties and opportunities.

Data Analytics 52

Data Analytics Data Analytics E-Commerce Predictive Analytics 52

Astera

MAY 31, 2024

Data Science Process Business Objective: This is where you start. You define the business objectives, assess the situation, determine the data science goals, and plan the project. You must plan the deployment, monitor and maintain the model, produce the final report, and review the project.

Data Analytics 52

Data Analytics Data Analytics Data Warehouse Healthcare 52

Marutitech

DECEMBER 17, 2021

This predictive analytics model is the best choice for effective marketing strategies to divide the data into other datasets based on common characteristics. . For instance, if an eCommerce business plans to implement marketing campaigns, it is quite a mess to go through thousands of data records and draw an effective strategy.

Predictive Analytics 140

Predictive Analytics Data Mining Finance Data Analytics 140

Astera

MAY 11, 2023

The Power of Synergy: AI and Data Extraction Transforming Business Intelligence The technologies of AI and Data Extraction work in tandem to revolutionize the field of Business Intelligence. AI can analyze vast amounts of data but needs high-quality data to be effective.

Business Intelligence 40

Business Intelligence Business Intelligence Supply Chain Logistics 40

Astera

JANUARY 23, 2024

Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively. Traditional data warehouses with predefined data models and schemas are rigid, making it difficult to adapt to evolving data requirements.

Agile 52

Agile Data Warehouse Data Quality Government 52

Astera

OCTOBER 25, 2023

Some data extraction tools also allow you to extract data from unstructured files such as PDFs. Data mapping : In this phase, the actual transformation is planned. You must decide where the data is sourced and where it will be saved. The goal is to change the source data to a format suitable to the destination.

Data Quality 52

Data Quality Supply Chain Healthcare Planning 52

Astera

NOVEMBER 28, 2023

They ensure compliance with regulations like the European Union’s General Data Protection Regulation (GDPR), safeguarding data and building trust with policyholders. How To Build a Robust Data Pipeline Building a data pipeline is a multi-step process that requires careful planning and execution.

Data Warehouse 52

Data Warehouse Monitoring Data Security Healthcare 52

Astera

MAY 25, 2023

Big Data Security: Protecting Your Valuable Assets In today’s digital age, we generate an unprecedented amount of data every day through our interactions with various technologies. The sheer volume, velocity, and variety of big data make it difficult to manage and extract meaningful insights from. How is big data secured?

Big Data 40

Big Data Data Security Monitoring Data Quality 40

Astera

MAY 6, 2024

Whether it’s choosing the right marketing strategy, pricing a product, or managing supply chains, data mining impacts businesses in various ways: Finance : Banks use predictive models to assess credit risk, detect fraudulent transactions, and optimize investment portfolios. These tools enhance financial stability and customer satisfaction.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Marutitech

OCTOBER 8, 2021

For example, sentiment analysis can help you to automatically analyze 5000+ reviews about your brand by discovering whether your customer is happy or not satisfied by your pricing plans and customer services. Since tagging data requires consistency for accurate results, a good definition of the problem is a must.

Monitoring 98

Monitoring Documentation Logistics Customer Experience 98

Astera

FEBRUARY 1, 2024

With a combination of text, symbols, and diagrams, data modeling offers visualization of how data is captured, stored, and utilized within a business. It serves as a strategic exercise in understanding and clarifying the business’s data requirements, providing a blueprint for managing data from collection to application.

Data Modelling 40

Data Modelling Retail Documentation Visualization 40

Astera

APRIL 24, 2024

Data aggregation tools allow businesses to harness the power of their collective data, often siloed across different systems and formats. By aggregating data, these tools provide a unified view crucial for informed decision-making, trend analysis, and strategic planning. Who Uses Data Aggregation Tools?

IBM Support 52

IBM Support IBM Maintenance IBM cost Visualization 52

Insight Software

OCTOBER 9, 2024

Each industry has unique applications for real-time data, but common themes include improving outcomes, reducing costs, and enhancing customer experiences. Real-time systems require advanced infrastructure to process large volumes of data quickly, which can be both costly and complex to maintain.

Real-time Data 52

Real-time Data Artificial Intelligence Retail Customer Experience 52

Astera

JANUARY 12, 2024

It ensures that data from different departments, like patient records, lab results, and billing, can be securely collected and accessed when needed. Selecting the right data architecture depends on the specific needs of a business. Domain-specific data discovery tools and processes are employed.

Data Architecture 52

Data Architecture Data Warehouse Data Quality Government 52

Insight Software

MAY 1, 2023

SAID ANOTHER WAY… Business intelligence is a map that you utilize to plan your route before a long road trip. By Industry Businesses from many industries use embedded analytics to make sense of their data. By Industry Businesses from many industries use embedded analytics to make sense of their data.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52