Crunch Huge Datasets Quickly
We use 1010data to quickly analyze massive sets of data. The program is great for quick tabulations and visualizations. The platform has …
1010data
1010data
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- No setup fee
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- Free Trial
- Free/Freemium Version
- Premium Consulting / Integration Services
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SAP HANA is an application that uses in-memory database technology to process very large amounts of real-time data from relational databases, both SAP and non-SAP, in a very short time. The in-memory computing engine allows HANA to process data stored in RAM as opposed to reading it from a disk…
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Product Details
What is 1010data?
1010data Technical Details
| Operating Systems | Unspecified |
|---|---|
| Mobile Application | No |
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July 13, 2016
Crunch Huge Datasets Quickly
We use 1010data to quickly analyze massive sets of data. The program is great for quick tabulations and visualizations. The platform has numerous native data tables. All analysts are familiar with the software and use it frequently to analyze huge datasets in a time efficient manner.
- Crunches huge datasets
- Has versatility in functionality and grouping capabilities
- Native XML macro language is easy to master
- The platform has great visualization tools
- The ten.do interface could use more detailed documentation
March 18, 2015
Did you try big data discovery with 1010data?
[We] ran a PoC on the big data discovery for a healthcare intelligent project to understand our patient’s experience across multiple health systems and to help promote the most effective, efficient, and preventative care. [WE also wanted to] find a better way to improve care/outcomes for our patients. To improve every aspect of our healthcare operations from clinical to administrative to financial, [1010data is] helping us to:
•Measure the quality of care and patient outcomes
•Improve patient flow through facilities and maximize utilization
•Boost supply chain efficiency and reduce supply costs
•Enable care management programs with analytical visibility across multiple health systems
•Drive efficiency in claims, billing, remittance, and cash management cycles
- To "pool" their data for market analysis
- Very large data analysis
- Performance and scalability
- More focus on healthcare
- Better visualization
- More function on complex database operations
- Integration with EPIC
- Reduce price