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After graduating from the University of Cambridge in 2014 with a BA in Mathematics, Calum joined Boxfusion as a Business Application Consultant specialising in the implementation of Oracle Sales Cloud.
The team and I have been exploring how it can be applied to Sales – in particular how Machine Learning techniques can be applied to historic sales performance data in order to provide sales teams with insights and predictions.
Having integrated the Machine Learning logic running on PaaS with Oracle Sales Cloud, we then built a number of new views in the Sales Cloud user interface to provide users with the insights.
From within Sales Cloud, users can control the prediction model – they have the ability to select which attributes are used in the model as well as choosing how often the model regenerates with the latest historical data. The Predictor Overview allows Sales Managers to compare user in-putted Win Probability and predicted Win Probability of Opportunities, and identify which need to prioritised. The Opportunity Review page provides insights into how the value of attributes are influencing the predicted Win Probability – for example the Industry of High Technology is positively impacting on the prediction. Boxfusion Consulting are a leading technology consultancy head-quartered in the UK, servicing clients globally, specialising in the Oracle CX Cloud suite of applications. As most of you probably know,  an AMI (Amazon Machine Image) is a pre-built package of software which can be used to create or instantiate a virtual machine within the Amazon Elastic Compute Cloud (EC2). Amazon EC2 allows anyone with few bucks on the credit card to rent computers on which to run their own applications. Oracle released, about 7 months ago, AMI’s in the US Amazon regions (US based data centers), that come with pre-installed Oracle Linux and Oracle Database 11g. So, it seems these last days, quietly, Oracle released Oracle AMI’s for Europe region (London based data center) . Extra Large Instance – The extra large instance offers the equivalent of a system with 15 GB of memory, 8 EC2 Compute Units (4 virtual cores with 2 EC2 Compute Units each), 1690 GB of instance storage, 64-bit platform.


You have also High CPU instances that have proportionally more CPU resources than memory (RAM) and address compute-intensive applications. An Amazon Machine Image (AMI) is a pre-built package of software which can be used to create or instantiate a virtual machine within the Amazon Elastic Compute Cloud. An AMI forms the basic unit of deployment for services delivered using EC2 and typically includes the operating system (for example Linux, UNIX, or Windows) and additional software necessary to deliver a service. Oracle Solaris 11 enhances its existing, integrated software defined networking technologies to provide much greater application agility without the added overhead of expensive network hardware.
Hyperion Financial Data Quality Management Oracle Hyperion Financial Data Quality Management (Financial Data Quality Management) is a packaged solution for finance users that helps develop standardized financial data management processes with its Web-based guided workflow user interface and powerful integration engine.
Machine Learning involves the construction of algorithms that can learn from and make predictions on data. We have been able to build algorithms which help indicate the likelihood of a sales opportunity being successful based on historical data.
By placing data intelligence at the heart of your sales process, you can increase the success of your sales opportunities. Historical data is derived from Sales Cloud and the prediction model then runs alongside Sales Cloud in real-time, delivering up-to-date predictions to open Opportunities.
Over time users can also observe how accurate the model has been in its predictions giving them accountability for the model. The bubble size in the chart reflects the magnitude of the deal, meaning it provides users with a powerful visual representation of their pipeline.
This provides the user with justification as to why the model believes that an Opportunity may be at risk. Analysis Page gives users the ability to observe how changing attribute values impacts on the Win Probability prediction – for example changing the Sales Rep working on the Opportunity boosts the predicted Win Probability.
EC2 provides scalable deployment of applications by using a web services interface through which we can create virtual machines on which we can load any software of our choice.


It enables organizations to eliminate the data integrity risks associated with collecting, mapping, verifying and moving critical financial data across the entire organization.
For more information on how we can help in developing a program that will help your organization realize its goals, contact us today!
A historical dataset is used to train a model which can then make predictions on future data. The tool will gather historic data, analyse trends and predict the likelihood of winning open Opportunities.
Furthermore, the table provides deep-links which allows direct navigation to those Opportunities at risk. By instantaneously recalculating the Opportunity’s predicted Win Probability, users can discover how making small tweaks to the Opportunity can increase the likelihood of winning the deal.
Machine Learning is becoming widespread in many industries and in society – think of self-driving cars, facial recognition and spam filtering. It will also help draw attention to problematic areas, risky deals and help you identify where areas of growth may be.
It is also making its way into the enterprise space, taking advantage of the vast data companies hold.
And to further reduce data integration costs and data mapping complexities, Hyperion Financial Data Quality Management includes prepackaged Enterprise Performance Management (EPM) adapters for Hyperion Financial Management, Hyperion Planning, Hyperion Enterprise, Hyperion Strategic Finance and Oracle Essbase.



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Comments

  1. 16.06.2016 at 19:36:20


    There aren't any cloud resources stored in the services and gateways for initial or ongoing data.

    Author: OCEAN
  2. 16.06.2016 at 16:52:36


    Data storage plan to best fit their enterprise the maximum I could buy was.

    Author: Anechka