Gravitas from Excedis
Excedis is a company that uses high performance and cutting edge software solutions to help clients realize the full potential of using data to drive it’s business outcomes. Gravitas from Excedis can unlock the pathway to unlimited real time data exchange between your cloud-based applications and your ground-based data. Break the gateway barrier and get all of your data working for you in real time. If you are thinking about integrating your back office applications like Oracle and SAP with Salesforce, Excedis has your solution!
QUICK - EASY - MINIMAL COSTS
Get up and running quickly without having to purchase any hardware or hire any hard to find resources. Evaluate how Gravitas from Excedis can help you manage your Big Data needs at a minimal cost.
SECURE - MAXIMUM CONTROL - SCALABLE
You maintain control over your data. Start off with a single server pilot to prove your business case and then scale out by adding additional commodity servers as you need them.
FLEXIBLE - ANY DEVICE - ANYWHERE
Take your data with you. Now being out of the office does not mean being out of touch with the information you need to make decisions.
Gravitas from Excedis delivers a number of key features companies need to deliver Big Data solutions.
Over 800+ Connectors
A fast-track solution that save both time and money. It's proving to be 3 times faster than developing the same connections by hand and the ability to reuse jobs, instead of rewriting them each time, is extremely valuable.
Easy to Customize
Create and maintain business data that is complete, accurate, consistent, and contextual, to allow smooth functioning of the organization and derive meaning out of the assembled data.
Data quality assurance (DQA) is the process of verifying the reliability and efficiency of data including: accuracy, completeness, update status, relevance, consistency across data sources, reliability, appropriate presentation, and accessibility.
The data integration process is traditionally thought of in three steps: extract, transform, and load (ETL). Putting aside the often-discussed order of their execution, "extract" is pulling data out of a source system, "transform" means validating the source data and converting it to the desired standard (e.g. yards to meters), and load means storing the data at the destination. An additional step, data "enrichment", has recently emerged, offering significant improvement in business value of integrated data. Applying it effectively requires a foundation of sound data management practices.
Predictive models and analysis are typically used to forecast future probabilities. Applied to business, predictive models are used to analyze current data and historical facts in order to better understand customers, products and partners and to identify potential risks and opportunities for a company
Long the purview of financial firms looking for an edge as they make lightning-fast transactions, in-memory technology is starting to catch the attention of many companies that conduct real-time analysis.
The primary goal of data visualization is to communicate information clearly and efficiently to users via the information graphics selected, such as tables and charts. Effective visualization helps users in analysing and reasoning about data and evidence. It makes complex data more accessible, understandable and usable.
Data Vault is designed to enable parallel loading as much as possible, so that very large implementations can scale out without the need for major redesign!
The importance of real-time data are that when something significant happens you are able to understand what the impact is immediately. Not next quarter!