|By Srinivasan Sundara Rajan||
|December 6, 2014 08:56 AM EST||
Invisible Analytics: All the hype around IoT and associated processing will not be of much use if the massive data not resulted in some tangible results end users. It is even more relevant in consumer scenarios . What is the use of an high end car with telematics engine if it is not going to take a call on checking the break oil leakage, much before the vehicle ran into some trouble. This could be just one simple example, but many more relevant can easily be foreseen.
Unrelated to Telematics, recently we have seen the term ‘Invisible Analytics' being used as part of technology trends of future. As per recent Gartner trends for 2015, Analytics will become deeply, but invisibly embedded everywhere." Big data remains an important enabler for this trend but the focus needs to shift to thinking about big questions and big answers first and big data second - the value is in the answers, not the data. It further states that, Organizations need to manage how best to filter the huge amounts of data coming from the IoT, social media and wearable devices, and then deliver exactly the right information to the right person, at the right time.
The above point leads to the fact while a centralized Analytics solution is a key for a holistic decision making and predictions, there needs to be a Micro Analytics engine as part of each device that needs to do a similar job may be in a scaled down fashion.
Power BI Windows 10 & Pervasive, Invisible Analytics : Power BI for Office 365 brings self-service BI solutions to everyday business users through the familiar tool they already use - Excel. There are several sub components of Power BI that makes a fit case for positioning ‘Invisible Analytics' for every app.
Power BI Q&A : Use natural language queries to find answers in your own data. Start with a question, and have fun traveling through your data refining or expanding your question, uncovering trust-worthy new information, zeroing in on details and zooming out for a broader view. You'll be delighted by the insights and discoveries you make.
Power BI Q&A presents your answers in the form of visualizations. As you type a question, Power BI Q&A picks the best visual to display your answer; and the visual changes dynamically as you modify the question.
Predictive Analytics : In Power View which is part of Power BI, you can now apply predictive forecasting, and hindcasting, when visualizing and exploring your data. Forecasting in Power View utilizes built-in predictive forecasting models using exponential smoothing to automatically detect seasonality in the data to provide forecast results from a series of data. Explore forecast results by adjusting the desired confidence interval or by adjusting outlier data to see how they affect results. You can also hindcast to see how Power View would have predicted the present and recent past based on older data.
The above two features are typically deal with the Invisible Analytics mentioned above, there are other features like rich visualization, charting capabilities do exist as part of Power BI.
One current issue seems to be, this solution is tightly integrated with Office 365 and hence a connectivity with cloud is a must , but in true scenarios for consumer the invisible analytics may have to work locally to the device. At present I could not see APIs for Power BI that can be invoked from a Universal App for Windows 10 devices.
However considering the quite a few progress made on this front each day, this possibility is quite certain. This will make it real the possibility of end user analytics, natively and fully localized and adjust itself to the situations.
The Role Of Cloud Based Analytics: While this invisible analytics at the device level is useful in many cases, there has to enough integration with the cloud services to augment the analytics to beyond what can be done at a device level.
For example :
- Q&A guidance at the device level can connect to Cloud Services like IBM Bluemix Watson to handle the situations which cannot be locally handled
- Predictive Analytics support can be extended to advanced algorithms from services like Windows Azure machine learning services.
In the coming days a tighter integration between embedded analytics platforms like Power BI along Universal Device operating systems like Windows 10 will make the Invisible Analytics a real thing and available for enterprises and consumers.
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