TARGIT Xbone: Instant in-memory analytics via drag & drop
In a world with growing numbers of data sources and new structure variations within them, businesses need to be able to analyze sources quickly. With TARGIT Xbone, an analyst can collect data from external and internal data sources and quickly load them in-memory and start analyzing.
Simply drag & drop text files or spreadsheets into TARGIT Xbone, and immediately use TARGIT’s high-performance analytics on the data within. The power of TARGIT Xbone lies in its simplicity: artificial intelligence automatically detects the potential hierarchies (e.g., time, product, and customer relationships). Dimension detection is lightning-fast when the operations are in-memory. And automating this process incorporates some quality control: users can’t create “dirty dimensions” (multiple-multiple relationships), and by the same token, users receive the same results when collaborating on data synchronized or shared across multiple devices.
TARGIT Xbone is designed to harness the full power of your personal device, from desktops to laptops to smartphones and tablets. The name stems from the intersection of 64-bit in-memory technology with solid-state technology. By assuming the presence of both hardware technologies, we can create “close to magic” moments by swapping full datasets very quickly into memory when loaded or updated. The ultra-thin and highly intelligent engine that makes this possible contributes the “bone” in the app’s name, as the features of the engine are “stripped to the bone”, designed only to keep your data alive and updated in-memory for your high-performance analytics.
From an analytics perspective, TARGIT Xbone is a richer environment than traditional Business Intelligence (BI) platforms. The Column-Store architecture in-memory allows you to calculate sums, counts, max, min, and distinct counts much faster than other solutions. Forget about pre-defining what you want to analyze in terms of measures, dimensions, and criteria, and disregard any constraints from traditional BI and use numbers as criteria and text as counted measures.
Self-serve your analytics and reporting
Another powerful aspect of TARGIT Xbone is its sharing capabilities. Show your findings to your colleagues through real-time integration with Dropbox, Google Drive and SkyDrive. Harness the multiple processor cores among all users as a super-computer, as opposed to a single server with one single point of failure. We refer to this type of architecture as an “inverted data warehouse”, and for data can be shared through replications, this is truly a boost is analytical power.
As an analyst or data scientist, you can use TARGIT Xbone to conduct data discovery at speeds you could only dream of with other tools. If your preference is R or Big Data in general, you may also want to check out our TARGIT TimeLiner initiative over in Dr. Morton’s Lab.
As a controller or BI enthusiast, you can now self-serve your analytics and reporting. TARGIT Xbone supports the intelligence in TARGIT Decision Suite, meaning that anything loaded with TARGIT Xbone will be accessible in the Decision Suite’s Intelligent Wizard, including automatic selection of best presentation and hyper-relations. To learn more about TARGIT’s unique and intelligent user-friendliness characteristics, visit “Intelligent Ease of Use”.
Motivation behind the technology - See Dr. Morton’s blog @Dataversity
One of the coolest things about Business Intelligence and Analytics software is that it has applications throughout an organization. Finance can use it, sales can use it, support can use it, engineering can use it…everybody can use it. But there’s one department that’s been a holdout and hasn’t yet found the value in taking data and turning it into information: marketing (see Dr. Morton's blog @Dataversity)
This is a department of people devoted to discovering what it is that makes customers and prospects tick, and they haven’t yet realized that there’s tons of information at their disposal that answers that very question. The challenge has been that the information about customer preferences generally resides in data outside the organization. It’s in surveys, focus groups, social media, Google trends, and all of it is data you don’t control.
From a technological perspective, external data sources present a challenge to traditional data warehousing solutions. Those products take data from the internal databases, run a transformation process, and then load it into the analytics app. That process requires IT’s involvement, making it an unwieldy answer to the question of “how can marketing get involved with this BI thing”.
If you can eliminate IT from the process, suddenly marketing can play with all of those external data sources to try and get inside the minds of the people they’re targeting. In a field that’s increasingly metric-driven, the ability to find those behavior patterns among potential customers can save the marketing department a lot of time and energy. No more guessing where the customers are, no more trying out a whole bunch of messages to find the right one.
NoETL solutions can be marketing’s way to learn how BI can work for them. It’s a win-win. Marketing gets to experiment using data that’s never been available to them, and there’s information that backs up the decisions that they make from reviewing the information.
For years, business intelligence has been rooted in the ERP solutions that feed BI platforms their data. Once that’s configured, you’ve got an in-depth look at your customers. The next logical question is, “how do I use this for prospects?” Google Trends is a useful data source for finding potential customers before they buy. And then, “what are my customers saying about our product after the sale?” Here, we pull in social media to learn what customers tell their friends and colleagues about us.
It’s all out there. Marketing just has to have the right tool kit and the right mindset to go out and find it.