Astera

OCTOBER 19, 2023

It should be able to adjust to new technologies, handle increasing data volumes, and accommodate new business goals. Top 5 Data Preparation Tools for 2023 1. The platform’s easy-to-use visual interface allows you to design and develop end-to-end data pipelines without coding.

IBM Support 40

IBM Support Data Quality IBM Maintenance Real-time Data 40

Astera

APRIL 28, 2023

Data management can be a daunting task, requiring significant time and resources to collect, process, and analyze large volumes of information. AI is a powerful tool that goes beyond traditional data analytics. Trends AI is already shaping the processes surrounding data warehousing in many ways.

E-Commerce 40

E-Commerce Supply Chain Artificial Intelligence Data Warehouse 40

Data Pine

OCTOBER 21, 2020

Big data has changed the way we manage, analyze, and leverage data across industries. One of the most notable areas where data analytics is making big changes is healthcare. The application of big data analytics in healthcare has a lot of positive and also life-saving outcomes. 3) Real-Time Alerting.

Healthcare 145

Healthcare Big Data Data Analytics Data Analytics 145

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

Astera

DECEMBER 21, 2022

A voluminous increase in unstructured data has made data management and data extraction challenging. The data needs to be converted into machine-readable formats for analysis. However, the growing importance of data-driven decisions has changed how managers make strategic choices.

Data Mining 52

Data Mining Documentation Data Quality Data Warehouse 52

GAVS Technology

SEPTEMBER 14, 2021

Application of Machine Learning to Data Test Cases. AIOps enabled machine learning and algorithms can be used to test data analytics or specific cases before they are applied to actual, real-time events. These algorithms take into consideration the data and capture available knowledge.

E-Commerce 40

E-Commerce Customer Experience Customer Experience Retail 40

Actian

JUNE 17, 2019

Batch processing of data from source systems and nightly refreshes of reports and dashboards, for example, simply isn’t sufficient to support the demands of modern businesses where minutes can represent the difference between an opportunity captured or lost and a risk becoming a crippling major incident.

Data Warehouse 40

Data Warehouse Digital Transformation Real-time Data Digital 40

Astera

APRIL 24, 2024

ETL (Extract, Transform, Load) Tools : While ETL tools can handle the overall data integration process, they are also often used for data ingestion. Data Integration Platforms : Data integration platforms offer multiple data handling capabilities, including ingestion, integration, transformation, and management.

Data Warehouse 52

Data Warehouse Real-time Data Documentation Data Quality 52

Smart Data Collective

DECEMBER 22, 2021

There is no question that big data is changing the nature of business in spectacular ways. A growing number of companies are discovering new data analytics applications, which can help them streamline many aspects of their operations. However, there are a lot of third-party big data applications worth investing in.

Big Data 227

Big Data Supply Chain Documentation Project Management 227

Data Pine

NOVEMBER 5, 2019

And we’re not just talking about marketing, but all your business’ bits and pieces should embrace the power of modern data analysis and utilize a professional dashboard creator that will enhance your data management processes. Still unsure? Intelligent reporting.

Monitoring 88

Monitoring Visualization Big Data Chief Data Officer 88

Data Pine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Essential Big Data And Data Analytics Insights. million searches per day and 1.2

Big Data 105

Big Data Data Analytics Data Analytics IBM Maintenance 105

Actian

DECEMBER 9, 2019

How Avalanche and DataConnect work together to deliver an end-to-end data management solution. Migrating to a cloud data warehouse makes strategic sense in the modern context of cloud services and digital transformation. Actian DataConnect and Actian Avalanche give you that end-to-end data management solution.

Data Warehouse 8

Data Warehouse Digital Transformation Supply Chain Real-time Data 8

Actian

DECEMBER 2, 2019

In this, the 2nd of a 3-article series, on how the Avalanche cloud data warehouse and Actian DataConnect integration platform work together to help companies realize the real-time analytics vision faster by enabling customers and users to easily and quickly access the data, analytics, and insights they need to drive impactful business results.

Data Warehouse 8

Data Warehouse Digital Transformation Real-time Data Vision 8

Astera

SEPTEMBER 4, 2023

This scalability is particularly beneficial for growing businesses that experience increasing data traffic. Enable Real-time Analytics: Data replication tools continuously synchronize data across all systems, ensuring that analytics tools always work with real-time data.

IBM Maintenance 52

IBM Maintenance IBM Support IBM cost Data Warehouse 52

Astera

MARCH 11, 2024

According to a recent Gartner survey, 85% of enterprises now use cloud-based data warehouses like Snowflake for their analytics needs. Unsurprisingly, businesses are already adopting Snowflake ETL tools to streamline their data management processes. Try Astera for free for 14 days and optimize your ETL.

Data Warehouse 52

Data Warehouse Documentation Monitoring Data Quality 52

Astera

AUGUST 8, 2023

The drag-and-drop, user-friendly interface allows both technical and non-technical users to leverage Astera solutions to carry out complex data-related tasks in minutes, improving efficiency and performance. You can visualize and explore data intuitively for accuracy and consistency.

Data Quality 52

Data Quality IBM Support IBM Maintenance Monitoring 52

Astera

SEPTEMBER 28, 2023

It’s one of many ways organizations integrate their data for business intelligence (BI) and various other needs, such as storage, data analytics, machine learning (ML) , etc. ETL provides organizations with a  single source of truth  (SSOT) necessary for accurate data analysis. What is Reverse ETL?

Data Warehouse 52

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

Astera

OCTOBER 27, 2023

The “cloud” part means that instead of managing physical servers and infrastructure, everything happens in the cloud environment—offsite servers take care of the heavy lifting, and you can access your data and analytics tools over the internet without the need for downloading or setting up any software or applications.

Data Warehouse 52

Data Warehouse Data Quality Big Data Predictive Analytics 52

Astera

APRIL 7, 2023

Enterprise Data Architecture (EDA) is an extensive framework that defines how enterprises should organize, integrate, and store their data assets to achieve their business goals. At an enterprise level, an effective enterprise data architecture helps in standardizing the data management processes.

Data Architecture 52

Data Architecture Supply Chain Data Governance Data Quality 52

Astera

APRIL 7, 2023

Enterprise Data Architecture (EDA) is an extensive framework that defines how enterprises should organize, integrate, and store their data assets to achieve their business goals. At an enterprise level, an effective enterprise data architecture helps in standardizing the data management processes.

Data Architecture 52

Data Architecture Supply Chain Data Governance Data Quality 52

Astera

SEPTEMBER 20, 2023

Data integration is a core component of the broader data management process, serving as the backbone for almost all data-driven initiatives. It ensures businesses can harness the full potential of their data assets effectively and efficiently. However, data federation can introduce some performance challenges.

Data Warehouse 52

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

Astera

SEPTEMBER 20, 2023

Data integration is a core component of the broader data management process, serving as the backbone for almost all data-driven initiatives. It ensures businesses can harness the full potential of their data assets effectively and efficiently. However, data federation can introduce some performance challenges.

Data Warehouse 52

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

Monday

MARCH 31, 2021

With IoT (the internet of things), big data, and AI on the way, supply chain professionals are turning to technology. More than half of all surveyed companies think they’ll widely adopt big data analytics by 2030. Without the time-lag, you can predict supply chain issues before they happen. Image Source ).

Supply Chain 52

Supply Chain Retail Big Data Real-time Data 52

Astera

APRIL 10, 2023

In today’s digital landscape, data management has become an essential component for business success. Many organizations recognize the importance of big data analytics, with 72% of them stating that it’s “very important” or “quite important” to accomplish business goals. Try it Now!

Data Management 52

Data Management IBM Maintenance Real-time Data IBM Support 52

Smart Data Collective

OCTOBER 25, 2023

More companies are turning to data analytics technology to improve efficiency, meet new milestones and gain a competitive edge in an increasingly globalized economy. One of the many ways that data analytics is shaping the business world has been with advances in business intelligence. Let’s break it down for you.

Digital 241

Digital Business Intelligence Business Intelligence Monitoring 241

Actian

SEPTEMBER 3, 2019

As AI and machine learning become more actively involved in defining user experience, the lines are blurring between traditionally separate transactional databases and data warehouses used for analytics.

Data Architecture 40

Data Architecture User Experience Data Warehouse Innovation 40

Actian

SEPTEMBER 3, 2019

As AI and machine learning become more actively involved in defining user experience, the lines are blurring between traditionally separate transactional databases and data warehouses used for analytics.

Data Architecture 40

Data Architecture User Experience Data Warehouse Innovation 40

Data Pine

FEBRUARY 22, 2022

Without real-time insight into their data, businesses remain reactive, miss strategic growth opportunities, lose their competitive edge, fail to take advantage of cost savings options, don’t ensure customer satisfaction… the list goes on. For this purpose, you can think about a data governance strategy.

Business Intelligence 87

Business Intelligence Business Intelligence Chief Data Officer Government 87

Astera

APRIL 24, 2024

The platform leverages a high-performing ETL engine for efficient data movement and transformation, including mapping, cleansing, and enrichment. Key Features: AI-Driven Data Management : Streamlines data extraction, preparation, and data processing through AI and automated workflows.

IBM Support 52

IBM Support IBM Maintenance IBM cost E-Commerce 52

Insight Software

JULY 17, 2023

Business environments are shifting so rapidly that disconnected analytics will only serve to present an inaccurate view of the past. Your customers and their users need real-time data to tell an engaging, flexible, and accurate story to drive impactful business results. Patrick has mastered the art of data storytelling.

Real-time Data 52

Real-time Data Data Visualization Visualization Embedded Analytics 52

Insight Software

APRIL 18, 2024

Automation can help you improve efficiency, accelerate processes, and free up valuable time for your team to focus on more strategic activities. By leveraging technology to automate planning processes, you can deploy real-time data analytics, scenario modeling, and forecasting capabilities.

Planning 52

Planning IBM Maintenance IBM Support Finance 52

Insight Software

AUGUST 24, 2022

Enable Self-Service Reporting and Analysis With Real-Time Data. Leveraging tech tools that enable business users to generate reports using real-time data pulled from multiple existing systems helps to reduce reliance on IT. In the past, the IT department was responsible for data management.

IBM Support 52

IBM Support IBM Maintenance Finance Supply Chain 52

Insight Software

DECEMBER 7, 2022

Modern CFOs must have a crystal-clear view of wholistic business data and as such, require a tool that provides a single source of financial and operational truth. This tool must be able to pull real-time data directly from multiple sources and enable collaboration directly within the report. Enable Self-Service.

IBM Support 52

IBM Support IBM Maintenance Finance IBM Expert 52

Insight Software

NOVEMBER 28, 2023

Thanks to this reduction in time and manual demands, you gain greater agility to accelerate your tax completion timeline while simultaneously boosting your department’s autonomy. Data Analytics: Unravelling Insights Standardizing your data with a modern tax tool allows for much deeper analysis.

IBM Maintenance 52

IBM Maintenance IBM cost IBM Expert IBM Support 52

Insight Software

MAY 6, 2022

Leveraging real-time data so that your reports immediately update. An Ideal Match for Your Analytics. Where Jet Reports addresses reporting gaps, Jet Analytics brings all your data together in Power BI, allowing you to analyze trends and forecast scenarios through a channel your executives can easily understand.

IBM Maintenance 52

IBM Maintenance Data Warehouse IBM Support IBM cost 52