Analysts Corner

OCTOBER 26, 2023

Human Resources Analytics: BI can help HR teams analyze employee data, such as performance metrics, demographics, and attrition rates, to develop strategies for talent acquisition, retention, and development.

Business Intelligence 130

Business Intelligence Business Intelligence Supply Chain Data Mining 130

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

APRIL 25, 2023

Velocity refers to the speed at which data is generated, analyzed, and processed. Variety refers to the different types of data generated, such as text, images, and video. Why is big data important to business? Healthcare providers can use big data to analyse patient data to improve treatment outcomes and reduce costs.

Big Data 130

Big Data Retail Customer Experience Customer Experience 130

Sisense

AUGUST 14, 2020

Whether it’s core to the product, as with a stock market forecasting algorithm in Quants, or a peripheral component, such as a healthcare domain chatbot that diagnoses diseases via dialog with a patient, building reliable AI components into products is now part of the learning curve that product teams have to manage. .

Healthcare 98

Healthcare Cybersecurity Predictive Analytics Artificial Intelligence 98

Juice Analytics

MARCH 11, 2021

One of our clients has data on the learning activities of more than 60% of all healthcare workers. But before getting down to designing the data product, you'll want to get the right people in place. She crafts the interface and interactions to make the data intuitive.

Product Management 128

Product Management Product Management Vision Healthcare 128

Astera

MAY 19, 2024

It’s primarily used in North America for various industries, such as retail, healthcare, and logistics. This flexibility allows for customization to avoid conflicts with data content. Use Cases ANSI X12 is commonly used in retail, healthcare, and logistics sectors in North America. What is ANSI X12? 850 for purchase orders).

Healthcare 52

Healthcare Logistics Retail 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. These data might be stored for the next decade to come.

Healthcare 97

Healthcare Government Digital Finance 97

GAVS Technology

NOVEMBER 5, 2024

Human Error: Mistakes such as accidental data sharing or configuration errors that unintentionally expose data, requiring corrective actions to mitigate impacts. Data Theft: Unauthorized acquisition of sensitive information through physical theft (e.g., stolen devices) or digital theft (hacking into systems).

Cybersecurity 52

Cybersecurity Healthcare Monitoring Data Security 52

Analysts Corner

AUGUST 11, 2022

The type of data dictates your choice of a cloud hosting service provider and its features. Say you operate in the healthcare domain and manage patients’ records. Dealing with such data requires utmost security and compliance with HIPAA standards.

IBM Support 130

IBM Support IBM Maintenance IBM cost Digital Transformation 130

Astera

MAY 9, 2023

These algorithms can identify patterns in data and use machine learning (ML) models to learn and adapt to new data sources. AI also uses computer vision to extract data from images and videos. These algorithms are particularly useful when dealing with data sources that have different data formats or structures.

Healthcare 40

Healthcare Retail Finance Data Quality 40

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

JUNE 14, 2023

Legal Documents: Contracts, licensing agreements, service-level agreements (SLA), and non-disclosure agreements (NDA) are some of the most common legal documents that businesses extract data from. Healthcare Records: These include medical documents, such as electronic health records (EHR), prescription records, and lab reports, among others.

Documentation 52

Documentation Supply Chain Healthcare Logistics 52

Astera

JUNE 5, 2024

Still, it reprocesses the data from where it left off. If a failure happens, it can result in incomplete data, requiring the entire batch to be reprocessed , which is time-consuming and resource-intensive. The system does not discard the already generated results if a failure occurs.

Real-time Data 52

Real-time Data Data Warehouse Monitoring Healthcare 52

Astera

MAY 31, 2024

Data scientists use ML and deep learning to grasp the semantics and context of language, which traditional data analytics cannot achieve. Image Recognition : In fields like healthcare and autonomous vehicles, recognizing images—such as identifying diseases in medical imaging or recognizing objects on the road—is essential.

Data Analytics 52

Data Analytics Data Analytics Data Warehouse Healthcare 52

Astera

DECEMBER 7, 2023

Healthcare Data Management In healthcare, ETL batch processing is used to aggregate patient records, medical histories, treatment data, and diagnostics from diverse sources. This includes generating reports, audits, and regulatory submissions from diverse data sources.

Supply Chain 52

Supply Chain E-Commerce Data Warehouse Real-time Data 52

Astera

DECEMBER 7, 2023

Healthcare Data Management In healthcare, ETL batch processing is used to aggregate patient records, medical histories, treatment data, and diagnostics from diverse sources. This includes generating reports, audits, and regulatory submissions from diverse data sources.

Supply Chain 52

Supply Chain E-Commerce Real-time Data Data Warehouse 52

GAVS Technology

AUGUST 17, 2021

Following actions are taken to minimize privacy challenges: Better Data Hygiene: Only the data required for the use case is captured/stored Use of Accurate Datasets: Quality of AI models is enhanced by training with accurate datasets User Control: Users are informed of their data being used and asked for consent.

Cybersecurity 40

Cybersecurity Healthcare Artificial Intelligence Government 40

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

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. Data Privacy : Handling real-time customer data requires stringent data governance to ensure compliance with privacy laws.

Real-time Data 52

Real-time Data Artificial Intelligence Retail Customer Experience 52

The BAWorld

OCTOBER 17, 2024

Data warehouses usually stores both current and historical data in one place and will act as a single source of truth for the consumer. To provide a centralized storage space for all the data required to support reporting, analysis, and other business intelligence functions. Its purpose?

Data Warehouse 40

Data Warehouse Data Analytics Data Analytics Data Mining 40

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.

Data Architecture 52

Data Architecture Data Warehouse Data Quality Government 52

Astera

MAY 4, 2023

AI-Generated Synthetic Data S ynthetic data is artificially generated data statistically similar to real-world information. With businesses increasingly utilizing business intelligence, leveraging synthetic data can help overcome data access challenges and privacy concerns.

Business Intelligence 40

Business Intelligence Business Intelligence Predictive Analytics Supply Chain 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

Marutitech

DECEMBER 17, 2021

This process is beneficial when you have large data sets and wish to implement personalized plans. . For instance, a predictive model for the healthcare sector consists of patients divided into three clusters by the predictive algorithm.

Predictive Analytics 140

Predictive Analytics Data Mining Finance Data Analytics 140

Astera

APRIL 29, 2024

Data transformation can also be used to create new attributes within the dataset. Example: A healthcare data analyst leverages mathematical expressions to create new features like Body Mass Index (BMI) through existing features like height and weight. Agility : Quickly adapt to changing data requirements with flexible tools.

Big Data 52

Big Data Retail Healthcare Data Quality 52

Astera

NOVEMBER 28, 2023

These could be to enable real-time analytics, facilitate machine learning models, or ensure data synchronization across systems. Consider the specific data requirements, the frequency of data updates, and the desired speed of data processing and analysis.

Data Warehouse 52

Data Warehouse Monitoring Data Security Healthcare 52

Astera

OCTOBER 25, 2023

Besides these steps, you may need to perform other customized operations to tailor the data to your desired format. Once the data has been transformed, you can load it into the target destination to put it to work. Remember that not all data require transformation—sometimes, the source data is suitable for immediate use.

Data Quality 52

Data Quality Supply Chain Healthcare Planning 52

Marutitech

OCTOBER 8, 2021

Natural language processing is a popular model which people often try to apply in various other fields like NLP in healthcare , retail, advertising, manufacturing, automotive, etc. 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

MARCH 26, 2023

Data Extraction Astera ReportMiner can extract data from various sources, including insurance documents, claims reports, and third-party databases. Insurance companies can use the code-free interface to extract the data required to make informed decisions without manual data entry or transcribing information.

Documentation 52

Documentation Data Quality Data Warehouse Data Management 52

Astera

APRIL 24, 2024

Business analysts, data scientists, IT professionals, and decision-makers across various industries rely on data aggregation tools to gather and analyze data. Essentially, any organization aiming to leverage data for competitive advantage will benefit from data aggregation tools.

IBM Support 52

IBM Support IBM cost IBM Maintenance Visualization 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

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

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

Insight Software

MAY 1, 2023

By Industry Businesses from many industries use embedded analytics to make sense of their data. In a recent study by Mordor Intelligence , financial services, IT/telecom, and healthcare were tagged as leading industries in the use of embedded analytics. Healthcare is forecasted for significant growth in the near future.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52

GAVS Technology

JANUARY 14, 2025

DLP integrates with other SASE components to enforce data protection policies in real-time. Zero Trust SASE enhances the security posture of healthcare organizations while ensuring compliance with regulatory requirements. Healthcare professionals are granted access only to the specific data they need for their role.

Cybersecurity 52

Cybersecurity Healthcare Monitoring Data Requirement 52