Data-deterministic solutions with unprecedented speed and accuracy.
Modern organizations rely on data for many things, including: improving their products and services, gathering user intelligence, and pioneering industry-changing technology. But far too many businesses find themselves in possession of large quantities of data without the ability to capture all the information within it, or without the level of reliability within their data analysis to drive innovation and intelligent decisions.
Some of the top data analytics challenges include:
Current statistical models rely on a series of necessary assumptions in order to operate. These assumptions inevitably interject bias into the analysis and lead to less accurate results. In addition, these tools provide output that frames results in terms of assumed data distributions, probabilistic estimations, standard deviations, and confidence intervals, as opposed to accurate results.
Imprecise, time consuming data preparation
Raw data can be messy and require lots of effort to get it ready for data analysis, this includes significant human supervision, and often requires the removal of some data and the insertion of estimates. Even then, if the data isn’t homogeneous additional time and effort is required to normalize the data, introducing the possibility for more bias and error.
Processing efficiency in data
Reliable decision making from complex data interrogations must be able to keep pace with a world where “big data” are streaming toward us faster and in greater quantities all the time. The processing power required to perform calculations is moving beyond the capacity of many systems and producing lag-time constraints that degrades the value of data analysis. This is especially problematic in a world where new applications with real-time decision-making capacities are critical.
Autonomous, reliable, repeatable solutions.
Ellipsoid Analytics offers data-deterministic solutions that remove error-prone assumptions from the equation. Working in real-time, our analytics tools can process data and deliver 100 % accurate results at high-speed – often with the processing capacity you already have on-board. Our analytics can autonomously identify and adjust for anomalies, thus providing a correct, reliable outcome every time.
Data analytics capabilities include:
Core Equilibrium Analysis (CEA) — Data-Deterministic Numerical Assessment
Numerical equilibrium is the EA alternative approach to current methods of data analysis – this is at the heart of our ability to find critical data characteristics at very high-speed and accuracy. Our balancing technology moves beyond estimations and find the absolute center of equilibrium for any data set without assumptions or the need to pre-determine calculation starting points, allowing users to summarize and analyze every aspect of the data set faster and with more accuracy than previously possible.
Autonomous Regression Tool (ART) — Linear & Multiple Regression and Functional Model Fitting
Traditional fitting of functional models relies on assumptions that can lead to directionally correct results, but which can also produce spurious conclusions. Our technology bypasses these estimations and autonomously fits functional models to data sets with the knowledge of which data points are anomalies. As a data-deterministic system, numerical balancing produces a highly accurate representation while eliminating the possibility of human error and bias..
Sensor Data Management (SDM) — Alternative to Autoregressive Integrated Moving Average (ARIMA)
With the current rate of innovation in using real-time data for decision-making, organizations need a data analytics tool kit that can easily adapt to high-speed streams of incoming data and produce highly accurate and meaningful results when needed. Our “ARIMA alternative” tool that we call SDM (for Sensor Data Management) incorporates new data seamlessly and accurately, producing real-time output, often with the processing equipment you already use today. This includes a highly reliable maximum deviation range and real time anomaly detection.