Peaks, Troughs and Averages – independent of Application and Scale -
in new Depth, Detail and Perspective
Profiling Data is based on layering complex data into vertical slices along a ‘visual z-axis’. This disruptive software method processes multivariate, univariate, sequential and time series data alike. It is now apparent that its algorithms can be usefully applied to bridging knowledge gaps between finance, economics, business and science.
In particular, market data, business intelligence, medical and climate data, measurements, sensor data, experimental results, clinical and experiential data can all be visualised with more depth, detail and other advantages:
- ‘Extreme data profiles’ show minima, maxima, averages and other statistical measures and derived metadata:
- This allows for sorting, ranking, weighting and prioritising visually.
- A new forecasting mechanism can be applied for short-, medium and long-term trends:
- Overlaying these trends allows for new predictive time windows.
- Parameters are derived from historic data to fine tune the generic approach.
In business, time is money. In life and science, knowledge is power. It is therefore a promising perspective to examine business and science related data with the same tool!
In the spirit of Humboldtian Science, ‘software lenses’ are state of the art measuring instruments to compare hitherto incomparable data and images from finance, business and science. Visual assessments by data experts, combined with numerical processing power, allow for creating ‘Smart Knowledge Portals’, e.g.:
- Smart Particle Physics: meta views of individual as well as grouped experiments;
- Smart Science: the data source and expertise determine domain, scale and insights;
- Smart Energy Consumption: systems of control and communication are fine tuned and tweaked as peaks, troughs and other numerical metadata are aligned over different time spans.
- roughly 50 Years after Computer Operations were established
- 25-20 years after the world-wide web was born
- hopefully appreciating the potential of ‘software lenses’ as ‘inter-data processors’ and new instruments of investigation – for meta views and in-depth analysis – of data- and measurement-based science.
- SMART Knowledge Portals as New Instruments of Investigation – for lifelong learning and education (3dmetrics.me.uk)
- Why Open Source Is Essential To Big Data (10gen.com)
- Visualisation – the key that unlocks data’s value? (cloudave.com)
- Big Data Infographic | How Big is Big Data? | Domo | Blog (domo.com)
- How Are You Managing Big Data? Data, Data Everywhere | Domo | Blog (domo.com)
- The Rise of Big Data (nationalresearchcenter.wordpress.com)
- Keeping an eye on big data (irishtimes.com)
- Lessons From A Crash Course In Data Science (fastcolabs.com)