Amazingly fast data processing
The need for decision makers to quickly respond to a change in their environment, whether market forces or security concerns is ever increasing. Data Sciences inside Indoor Positioning Analytics (IPA) provide a high-performance, supercomputing platform – possibly, the fastest data analytics platform in the world – and quickly able to provide business value. Combined with positioning data from the IPA sensors, Data Sciences quickly provides the ability to understand visitor behavior and how it changes over time or due to outside influences.
Inpixon IPA Application Areas
Retail / Property Management
Retailers and property managers are constantly looking for new ways to improve their retail and business operations. IPA’s integrated statistical, machine learning and artificial intelligence algorithms reveal emerging data patterns in real time – driving better analysis and decision making, while enabling managers to work more efficiently, reduce costs and improve retail and property operations.
New, novel and surprisingly effective cyber-attacks occur with alarming frequency, often by bypassing or breaching security before the systems can respond. IPA’s architecture allows security systems to ingest, analyze and respond to anomalies and potential threats as fast as, if not faster than, they can occur. Moreover, IPA Data Sciences excels at machine learning, meaning that security systems can grow more effective, not less, over time.
From public health to national security, big data analytics needs abound for government agencies and entities. What isn’t in abundance is the big ticket budget allocations needed to fulfill those needs. IPA solves the problem by offering an extremely powerful, but low cost alternative that can scale from a single regional office to a global network of agencies, tackling the most complex of data analytics problems.
Internet of Things
The value inherent in the IoT is in the quantity and depth of the data it generates. IPA’s streaming importer allows it to quickly ingest and analyze IoT data so you can see what is happening now, explain what happened before, and predict what will happen next in near real time. With IPA, the IoT can be transformed from mere networks of “things” into the central nervous systems of everything from intelligent enterprises to smart cities and beyond.
Amazingly fast response
Supercomputing performance without the supercomputing costs; accelerates typical analytics by 20x to 1000x. With IPA, processes that might have taken days or hours will be done in minutes or seconds.
Familiar development environment made fast
Industry standard ANSI SQL columnar database and R development environment optimized for advanced analytics and machine learning applications.
Client-free, browser-based interfaces make the system available anywhere, anytime, and on virtually any device with an Internet connection and a web browser.
Low cost, high ROI
Simple, flat pricing model. No “per-user,” “per-core,” “per-process,” or other variable costs. You extract the maximum value from the power of the IPA platform without worry about upcharges or hidden fees.
Easy setup and configuration. Plug it in, turn it on and go. You can be up and producing results in under one hour.
Plays nice with others
Works with common 3rd party visualization, charting, graphing and dashboard systems that you likely are already using. No new software to buy.
Highly Parallelized In-Memory Platform
No disk-based bottlenecks here. IPA has an in-memory database that uses a dynamic blend of RAM and NAND along with specially optimized algorithms that both minimize data movement and maximize system performance.
IPA has a column store approach rather than the older row store approach used for 30+ years. Column store databases allow you to keep tables with tens or hundreds of columns in one place. If a query only uses 1, 5, or 20 columns, then only those columns are analyzed. This is much more efficient than row stores when doing analysis.
A full relational database management system for SQL analysis. OLAP focused and ACID compliant, it can handle updates, inserts, deletes, appends, etc. without requiring ‘no-update’ or ‘append-only’ batch paradigms. Fully ANSI SQL-complaint, including stored procedures, it can run queries from your existing reporting environment using standard ODBC/JDBC drivers, use the command-line interface, or web interface.
The IPA statistical analysis interface is built on a supercharged version of R that provides large-data capability, and parallel execution of functions, algorithms, and the linear algebra underpinnings behind many of those algorithms. The top 50 R packages (including those for Linear Programming) come pre-installed. Your R code may look the same, but with IPA, it will be much, much faster.
IPA offers a number of machine learning and predictive analytics algorithms re-written for very high speed and large data execution. Fine-tuned to deliver the best performance in our high-RAM environment, these algorithms commonly run at 10x – 80x faster than far more expensive analytics platforms, and as much as 200X faster than traditional R packages.
No-Wait Imports and Exports
IPA’s unique Transparent Copy Utility instantly moves data from the database into an R data frame where you can run optimized predictive analytics functions for over 3,000 commonly available R packages.
Eliminate Caching and Associated Overhead
Legacy database engines can’t utilize high-memory efficiently because their kernels were written years ago when disk held most data and RAM was expensive. IPA uses a database engine that was designed for pure memory environments from the ground up and is cache-free.
Quick Configuration, Up and Running in Minutes
Plug it in, verify a couple of configuration options and you’re ready to go. You can sit at your desk and use our web application to drive the system. Common administration tasks are also available via menu if directly attached to the server.
Forget PC-based clients. IPA’s web interface allows programmers to access its full power to write and execute SQL and R code with nothing more than a web-browser.