Astera

JANUARY 25, 2024

Operationalizing insights from stored data and making them actionable in day-to-day business operations. Use Cases Data warehousing, business intelligence, reporting, and data analytics. Data enrichment for CRM, targeted marketing campaigns, real-time customer interaction, and personalized experiences.

E-Commerce 52

E-Commerce Data Warehouse Retail Customer Experience 52

Smart Data Collective

FEBRUARY 28, 2022

The market size for financial analytics services is currently worth over $25 billion. It is growing rapidly as more financial companies discover the wonders of data analytics. Automated Clearing House (ACH) is one of the companies most impacted by developments in big data. Verify all transactions.

IBM Support 231

IBM Support Banking Big Data IBM cost 231

Data Pine

MARCH 18, 2020

There are numerous data reporting tools on the market that can help you in presenting your information, but just a few provide features that will make your work extremely simple and straightforward. That being said, the monitoring and reporting of this network are invaluable for any video marketing strategy. With more than 1.9

Monitoring 71

Monitoring Digital Visualization Retail 71

Astera

SEPTEMBER 4, 2023

Change Data Capture: The tool also offers change data capture capabilities helpful in replicating data from transactional databases to analytical databases. Change data captures allow you to replicate only the data unavailable in the destination, which speeds up your data analytics.

IBM Maintenance 52

IBM Maintenance IBM Support IBM cost Data Warehouse 52

Data Pine

DECEMBER 11, 2019

Since it is often easy to lose track of what really matters when so many KPIs have to be monitored, an online reporting tool will safely keep an eye on your data and anticipate any fluctuation and change – and alert you when it veers off course. How will AI improve SaaS in 2020? 9) A Mobile-First Mindset.

Artificial Intelligence 125

Artificial Intelligence Innovation Digital Business Intelligence 125

Marutitech

DECEMBER 17, 2021

It can learn about the filters and characteristics of the image, unlike the primitive data analytics model trained enough with these filters. . Incorporate analytics into business decisions. Monitor models and measure the business results. How to Select an Algorithm for Predictive Analytics Model?

Predictive Analytics 140

Predictive Analytics Data Mining Finance Data Analytics 140

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