Juice Analytics

MARCH 11, 2021

.” -- Jessica Livingston, co-founder of Y Combinator With data products the core question of your user is: What information or insights will let you make better decisions and perform better in your job? Look for those unique situations where indecision, ignorance, or lack of information are blocking smart actions.

Product Management 128

Product Management Product Management Vision Healthcare 128

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

GAVS Technology

NOVEMBER 5, 2024

Data Loss Prevention (DLP) is a critical security strategy designed to ensure that sensitive or essential information is not transmitted outside the organization’s network. These strategies incorporate a range of tools and software solutions that provide administrative control over the secure transfer of data across networks.

Cybersecurity 52

Cybersecurity Healthcare Monitoring Data Security 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

Analysts Corner

AUGUST 11, 2022

Before committing to one of the cloud services providers, you should collect as much information about your business needs and constraints as possible. 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.

IBM Support 130

IBM Support IBM Maintenance IBM cost Digital Transformation 130

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

Document data extraction refers to the process of extracting relevant information from various types of documents, whether digital or in print. It involves identifying and retrieving specific data points such as invoice and purchase order (PO) numbers, names, and addresses among others.

Documentation 52

Documentation Supply Chain Healthcare Logistics 52

Astera

MAY 9, 2023

Let’s look at how AI speeds up each stage of the data integration process: Data Extraction Advanced AI algorithms can easily analyze the structure and content of data sources and extract the relevant information automatically. AI also uses computer vision to extract data from images and videos.

Healthcare 40

Healthcare Retail Finance Data Quality 40

Astera

JUNE 5, 2024

Streaming ETL is a modern approach to extracting, transforming, and loading (ETL) that processes and moves data from source to destination in real-time. It relies on real-time data pipelines that process events as they occur. Events refer to various individual pieces of information within the data stream.

Real-time Data 52

Real-time Data Data Warehouse Healthcare Monitoring 52

Astera

DECEMBER 7, 2023

If you want to know the exact figures, data is estimated to grow beyond a staggering 180 zettabytes by 2025! Handling all that information needs robust and efficient processes. ETL—Extract, Transform, Load— is a pivotal mechanism for managing vast amounts of information. That’s where ETL comes in.

Supply Chain 52

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

Astera

DECEMBER 7, 2023

If you want to know the exact figures, data is estimated to grow beyond a staggering 180 zettabytes by 2025! Handling all that information needs robust and efficient processes. ETL—Extract, Transform, Load— is a pivotal mechanism for managing vast amounts of information. That’s where ETL comes in.

Supply Chain 52

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

Astera

MAY 31, 2024

It helps you systematically leverage statistical and quantitative techniques to process data and make informed decisions. The primary goal of data analytics is to analyze historical data to answer specific business questions, identify patterns, trends, and insights, and help businesses make informed decisions.

Data Analytics 52

Data Analytics Data Analytics Data Warehouse Healthcare 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

Imagine a world where businesses can effortlessly gather structured and unstructured data from multiple sources and use it to make informed decisions in mere minutes – a world where data extraction and analysis are an efficient and seamless process.

Business Intelligence 40

Business Intelligence Business Intelligence Supply Chain Logistics 40

Marutitech

OCTOBER 8, 2021

The contextual analysis of identifying information helps businesses understand their customers’ social sentiment by monitoring online conversations. . According to the survey, 90% of the world’s data is unstructured. What is Sentiment Analysis? Click here to learn about predictive maintenance machine learning techniques.

Monitoring 98

Monitoring Documentation Logistics Customer Experience 98

The BAWorld

OCTOBER 17, 2024

To provide a centralized storage space for all the data required to support reporting, analysis, and other business intelligence functions. This allows companies to make smart decisions using data. I bet you’re already thinking, “Wow, the concept of a Data Warehouse isn’t that tough to grasp!

Data Warehouse 40

Data Warehouse Data Analytics Data Analytics Data Mining 40

Astera

MARCH 26, 2023

Data is at the heart of the insurance industry. Vast amount of information is collected and analyzed daily for different purposes including risk assessment, product development, and making informed business decisions. Consider an insurance company that needs to extract data from a large number of PDF documents.

Documentation 52

Documentation Data Quality Data Warehouse Data Management 52

Astera

MAY 4, 2023

Top 6 AI -Driven Strategies for Business Intelligence and Analytics Automated Data Collection Businesses today face the challenge of collecting and analyzing massive amounts of data to power their data-driven initiatives. For instance, in healthcare, data experts can use synthetic data to train machine learning models.

Business Intelligence 40

Business Intelligence Business Intelligence Predictive Analytics Supply Chain 40

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. As mentioned above, LSTM stands for the Long Short-Term Memory model.

Predictive Analytics 140

Predictive Analytics Data Mining Finance Data Analytics 140

Astera

OCTOBER 25, 2023

Data is a valuable resource that helps your business make better decisions and gain a competitive edge. But how can you make customers, rivals, and business information easily accessible to everyone in your organization? The solution is data transformation. What is Data Transformation?

Data Quality 52

Data Quality Supply Chain Healthcare Planning 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.

Big Data 40

Big Data Data Security Monitoring Data Quality 40

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

FEBRUARY 1, 2024

A well-designed data model can help organizations improve operations, reduce costs, and make better decisions. What is Data Modeling ? Data shapes everything from scientific breakthroughs to the personalized experience of streaming services. But raw data is like an uncut diamond – valuable but needing refinement.

Data Modelling 40

Data Modelling Retail Documentation Visualization 40

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. Data mining tools aid early diagnosis, drug discovery, and patient management.

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. While some ETL tools are available for free, others come with a price tag.

Data Warehouse 52

Data Warehouse Documentation Monitoring Data Quality 52

Astera

MAY 19, 2024

Electronic Data Interchange (EDI) is a popular communication method that enterprises use to exchange information accurately and quickly with trading partners. EDI transmits data almost instantaneously — serving as a fast and efficient mode for exchanging business documents. What is ANSI X12? 850 for purchase orders).

Healthcare 52

Healthcare Logistics Retail Documentation 52

Astera

APRIL 29, 2024

Data profiling involves examining the data using summary statistics and distributions to understand its structure, content, and quality. This step can reveal patterns, anomalies, and correlations crucial for informed preprocessing. Data Transformation Data transformation helps modify data for specific needs.

Big Data 52

Big Data Retail Healthcare Finance 52

Astera

APRIL 24, 2024

As data variety and volumes grow, extracting insights from data has become increasingly formidable. Processing this information is beyond traditional data processing tools. Automated data aggregation tools offer a spectrum of capabilities that can overcome these challenges.

IBM Support 52

IBM Support IBM cost IBM Maintenance Visualization 52

Astera

JANUARY 12, 2024

Data volume continues to soar, growing at an annual rate of 19.2%. This means organizations must look for ways to efficiently manage and leverage this wealth of information for valuable insights. Enterprises should evaluate their requirements to select the right data warehouse framework and gain a competitive advantage.

Data Architecture 52

Data Architecture Data Warehouse Data Quality Government 52

Insight Software

OCTOBER 9, 2024

There are a number of reasons why: You can run a report that has the most updated information , not from one month ago. Real-time data gives you the right information, almost immediately and in the right context. Immediate access to real-time data allows you to make better business decisions.

Real-time Data 52

Real-time Data Artificial Intelligence Retail Customer Experience 52

Insight Software

MAY 1, 2023

Aggregated views of information may come from a department, function, or entire organization. These systems are designed for people whose primary job is data analysis. The data may come from multiple systems or aggregated views, but the output is a centralized overview of information. percent, and Healthcare, 12.1

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52