How many of you would be lost without your smartphone, both in your personal life and at work? As per a recent study from Pew Research Center 24% of teens go online “almost constantly,” facilitated by the widespread availability of smartphones. No wonder organizations today are keener on analyzing these facts and making mobile strategy as one of their strategic objectives. (more…)
Predictive analytics can easily mine and turn a large volume of data into valuable business insights. This requires organizations to build statistical predictive modeling systems that demands significant time and resources with niche skill sets. It’s just a matter of time that organizations start realizing and moving their predictive and statistical analytic systems onto the cloud.
Drivers for cloud are not just dealing with big data, niche skills, and time it takes to build the system, but also the volume of consumer’s behavioral information that is available online, which can help in building a full proof predictive modeling system.
When you plan to build and deploy a predictive model, one of the major bottle necks would be to convert your data into a format that facilitates building and deploying predictive models, The transformation of data however is often a series of database operations (group by, join, where clauses), Numerical transformations (binning, ratios, log transforms, etc.), and text processing (stemming, grouping/binning). Except for some database operations, these operations are inherently parallelizable, lending themselves nicely to cloud solutions.
Lastly, a major driver for moving predictive analytics stack to cloud would be mobility and accessibility of the solution if the solution is on cloud; Decision makers are often traveling and having access to their business data on cloud can be a major driver for organizations to move their predictive analytics to cloud.
Enterprises implement SalesForces so that teams can focus on customers and revenue, leaving the rest to automation. But when companies try to extend that automation by integrating SalesForce with an ERP, the result too often is more headache than focus. MIDAS an ETLE Tool (Extraction, Transformation, Loading and Enrichment) resolves the challenge by seamlessly integrating capabilities from Saleforce to and from SAP, EBS and other ERPs. Midas seamlessly integrates Saleforce.com with SAP, Oracle E-Business Suite and other ERPs.
I have been involved in developing and consequently providing mission critical solutions to various clients across domains. Our organization was designing a web-based CRM solution for a renowned play music school for children. When I dwelled a little to know about the nature of the business this organization runs, I was quite fascinated. It is a play music school for children that also conducts child parent interactive programs. The subtle yet innocent and priceless nature of relationship between a child and a parent, and designing a solution for an organization that thinks 24X7 to come up with ideas to facilitate, reinforce and rejuvenate that relation had a humongous positive impact on my desire to work on this project.
I wanted to share an experience of working on this particular project from my perspective. Leveraging the cloud via Salesforce.com to architect business solutions in itself was a challenge. Client had an immediate business need where forecasting sales data with a limited visibility of sales, marketing, vendor management and financial processes was a challenge. In addition to this there was a lack of transparency in product attendance, franchise performance, vendor management and incentive management processes. We architected a solution that addressed clients current business needs and helped them to adopt Cloud based Salesforce.com CRM.
As a part of implementation we have had 50 plus business entities designed and had relationships maintained across all of them. While designing various reusable queries to extract, transform, load the data and vice versa, we had a subconscious intuition of ensuring a seamless system performance and also maintain the SF Code Coverage. Key business processes were customized using VF pages. Scheme management is a great example that perfectly depicts the complexity of the process for which the solution has been engineered. The dynamic nature of Terms and Conditions getting modified per the scheme that the customer chooses presented me a great challenge while working and huge satisfaction after achieving it.
A day came when the final version of the engineered software was pushed in to production ensuring that the Client’s business processes are aligned, systematized and configured seamlessly in Salesforce.com CRM with a central repository of child and parent database. Many more features were architected pretty smartly abiding by the industry standards, which made the customer happy. Cloud based CRM helped them achieve greater ROI, by saving 40% of the cost over traditional on-premise software.
This is a classic example of how Salesforce.com CRM provides a magnificent, resilient, reliable and a near error free solution to the client.
There was a huge sense of achievement after accomplishing this project and the fact that we had to call it a day for this particular client with the nature of business that has unprecedentedly made me emotional.
Balaji Reddy is heading SFDC Practice at Bodhtree with a skill set on Project Management, Client Engagement and Business Consulting. His key area of expertise in software development is Salesforce.com & Siebel with focus on Sales, Marketing, and Service areas