Cloud, Data Outliers and Revenue are major buzzwords in the world of modern business development. The refinement of motivators and drivers are increasing for these buzzwords, they need to show value, progression and profits. If you cannot demonstrate how you will achieve it, then chances are you will not. Whilst binary transactions are committed to a yes or no, the rest of the world can be in the grey area. It is this grey area that can provide stimulation as well as lethargy. Some managers introduce lethargy whilst other create a framework to promote stimulation - this is easier done when individuals have a passion for what they do or have a natural affinity for their field.
Whilst in the 90's data aggregation and visualisation techniques were mainstream, they all had one thing in common - help identify the outlier and when that is done, you can focus on classifying the rest of the data. Data can be segmented and visualised to provide statistical view of a certain topic, and technologies like SAS platforms that are now common in the technology space enable you to do so.
Since the 90's the technology innovations are many that can take a cluster and itself have Intelligent Processing applied onto it - in half the processing time - this allows swifter strategic decisions to be made to build a stronger company but it also helps build an agile company that has its boundaries more flexible to respond to market trends.
With the new auto-processing technologies that can also take onboard social sentiments, its a step closer to performing strategic tasks, like, GAP Analysis, SWOT analysis and even do away with lengthy process and keep the research costs relevant. For example, if the UK Government, say HMRC, wanted to know how many UK Nationals are systematically promoted to significant positions whose parent company is foreign _and_ that hold non UK qualifications like CISSP, then a Heatmap might show an increasing trend in a cluster of C-level salaried individuals are not promoting the UKs interests but their own, could begin an investigation to find out what motivates them to change the parent-perception for others whilst holding it true only for their CISSP or others in-kind. Data processing techniques can further investigate social-profiles and trends as to why this behaviour might be promoted and what effects it leads to Taxation in the UK itself, espcially if you might be employed to be registered to the local office for tax purposes i.e the employee is forced to have no office other than the client site and the manager would sit in his home office as a home-worker thus conducting business from home whose parent company has no office and creating sentiments to advocate their own interests - thus the outcome of the heatmap investigation would be to tax that manager-scheme much higher as non of their activities promote the UK's interests - other than their own hiding behind their CISSP qualifications. In this case, the power of heatmap comes when the investigation would introduce IR35 contractors into the same data ( when topic map technology analysis is applied ) and find that non CISSP managers would have close proximity to IR35 in the same company - thus making the IR35 pointless and reminds us of Martha Stewart-Insider trading i.e tax abuse. Heatmap analysis would further ensure the UK continues its efforts on taxation to serve the country i.e. perhaps as an extension to google tax, or to include the mansion tax as their home is their CISSP-Work place.
The applications into which Heatmapping is applicable is a good way to identify areas of abuse and concern that allows a plan to be created to identify perpetrators - in fact fraud platforms often work by profiling credit card usage and creates automatic alerts to halt a transaction that is not expected.
With the data and content now itself as the driver, human value potential in combination with understanding how data servers the statistical understanding of critical-mass execution theories could further fuels innovative technology data processing.
As long as the innovation helps understand how to drive profits then the innovations will likely continue though its applications may itself need to be review, in contrast to other fields like Cancer research are also benefiting from this types of new analysis techniques . Either way, the simple method of heat mapping data is an interesting area for technology innovation.
Whilst in the 90's data aggregation and visualisation techniques were mainstream, they all had one thing in common - help identify the outlier and when that is done, you can focus on classifying the rest of the data. Data can be segmented and visualised to provide statistical view of a certain topic, and technologies like SAS platforms that are now common in the technology space enable you to do so.
Since the 90's the technology innovations are many that can take a cluster and itself have Intelligent Processing applied onto it - in half the processing time - this allows swifter strategic decisions to be made to build a stronger company but it also helps build an agile company that has its boundaries more flexible to respond to market trends.
With the new auto-processing technologies that can also take onboard social sentiments, its a step closer to performing strategic tasks, like, GAP Analysis, SWOT analysis and even do away with lengthy process and keep the research costs relevant. For example, if the UK Government, say HMRC, wanted to know how many UK Nationals are systematically promoted to significant positions whose parent company is foreign _and_ that hold non UK qualifications like CISSP, then a Heatmap might show an increasing trend in a cluster of C-level salaried individuals are not promoting the UKs interests but their own, could begin an investigation to find out what motivates them to change the parent-perception for others whilst holding it true only for their CISSP or others in-kind. Data processing techniques can further investigate social-profiles and trends as to why this behaviour might be promoted and what effects it leads to Taxation in the UK itself, espcially if you might be employed to be registered to the local office for tax purposes i.e the employee is forced to have no office other than the client site and the manager would sit in his home office as a home-worker thus conducting business from home whose parent company has no office and creating sentiments to advocate their own interests - thus the outcome of the heatmap investigation would be to tax that manager-scheme much higher as non of their activities promote the UK's interests - other than their own hiding behind their CISSP qualifications. In this case, the power of heatmap comes when the investigation would introduce IR35 contractors into the same data ( when topic map technology analysis is applied ) and find that non CISSP managers would have close proximity to IR35 in the same company - thus making the IR35 pointless and reminds us of Martha Stewart-Insider trading i.e tax abuse. Heatmap analysis would further ensure the UK continues its efforts on taxation to serve the country i.e. perhaps as an extension to google tax, or to include the mansion tax as their home is their CISSP-Work place.
The applications into which Heatmapping is applicable is a good way to identify areas of abuse and concern that allows a plan to be created to identify perpetrators - in fact fraud platforms often work by profiling credit card usage and creates automatic alerts to halt a transaction that is not expected.
With the data and content now itself as the driver, human value potential in combination with understanding how data servers the statistical understanding of critical-mass execution theories could further fuels innovative technology data processing.
As long as the innovation helps understand how to drive profits then the innovations will likely continue though its applications may itself need to be review, in contrast to other fields like Cancer research are also benefiting from this types of new analysis techniques . Either way, the simple method of heat mapping data is an interesting area for technology innovation.