Showing posts with label Analytics. Show all posts
Showing posts with label Analytics. Show all posts

Saturday, 16 December 2017

Driving the Next-Generation Sales Solution on SAP HANA

Analytics, HANA, IT Infrastructure, SAP

As EMC IT remains focused on its IT Transformation journey, we continue to take calculated risks in emerging technologies and adopt bleeding-edge solutions — but not without bumps along the way. However, we have found that leveraging a strong partnership with a trusted supplier is a crucial strategy to help smooth the road ahead.

Recently, EMC IT went live with the third release of its SAP implementation, replacing our direct and channel ‘selling’ tools with a suite of software products predominantly within the SAP landscape. This grouping of products – while not currently sold by SAP as a “solution” – needed strong partnership between EMC leadership and SAP, as we cooperated to string them together.

Back in 2003, EMC’s ‘selling’ tools, Direct and Channel Xpress, went live as two separate applications as a conscious choice in a very different selling model. At the time, EMC’s direct sales force was focused on high-end deals with little to no partner interaction.  But as the channel grew and the go-to-market model adapted it became clear that this (EMC+Channel) partnership needed a more tightly coupled application – one that we just couldn’t deliver with two disparate applications.

Choosing the New Solution


The core of the new application is SAP’s CRM (customer relationship management). EMC IT quickly made the decision to run it on SAP HANA database platform – our first venture  to deploy an on-line transaction processing (OLTP) platform using SAP HANA. The capabilities within SAP CRM for quoting, pricing and customer management were going to be the core of the entire system.

The next major decision focused around the next-generation product configurator. The unlimited configurability of our products and solutions is a major competitive advantage for our sales force, and EMC needed an agile tool to maintain these tens-of-thousands of rules on a daily basis.  We moved forward with a plan to use SAP’s Solution Sales Configurator (SSC) – a relatively new product with only one other production customer at the time.

It was quickly apparent that SSC’s ability to be modular and configure solutions rather than individual products matches EMC’s vision as our product portfolio continues to grow. But like all new products, there are growing pains as the application evolves. SAP stepped up to the task and directly partnered with EMC  – from senior leadership level and down – prioritizing bug fixes directly affecting EMC and enhancing the tool as we found deficiencies to our process.

The last product selected was Vendavo – a leader in the Pricebook and Deal Management space as well as a close partner of SAP.  Touting out of the box integrations, Vendavo was a natural fit for us.

Analytics, HANA, IT Infrastructure, SAP

The “Wow” Factor


With the main components selected, the focus quickly turned to user experience. Ensuring ease in selling EMC’s products would make the salesforce more efficient as well as help our partners choose to sell EMC instead of one of our competitors.

Our first user-experience step was to enlist the help of SAP’s Custom Development organization to help build a tool to easily create standardized UI’s on top of our complex product configurator. Using SAPUI5 technology and partnering with the SSC product team, SAP delivered a robust tool that allows the business to use drag and drop technology to create easy to use UI’s so sales engineers can quickly configure products.

As the project continued, in pure EMC IT fashion, along came a new curveball. SAP had recently purchased an eCommerce market leader – a software platform known as Hybris. EMC had used Hybris sparingly, most notable in its online eStore, but this was a large-scope change very late in the project timeline. Again, partnering with SAP allowed us to get our hands on early releases of its integration roadmap using SAP’s RFC jCo connections. A stateful connection (one where the client stores and re-uses the backend session) between Hybris and the SAP CRM backend allowed us to use Hybris as simply the front-end window into the quote while still taking advantage of Hybris’ core capabilities – especially its versatile product catalog, which EMC uses extensively for search and enrichment of products. EMC IT then reached out to Pivotal Labs – an EMC federation company who had done numerous user experience projects. Their design services approach, a skill that most IT shops simply don’t have, led to major improvements and efficiencies in laying out the ‘price quoting’ user experience.

Stability and Performance


Tightly coupling these software products and ensuring consistency between each is the main challenge for us as we look to stabilize the solution. Our UI strategy strives to make each disparate system feel seamless so users don’t realize they are switching to a completely different tool each time. This raises the need for data consistency between all applications – real time. Using a mix of direct web services and our Application Integration Cloud (AIC) technology (a custom EAI layer built on Pivotal SpringSource) for real time integration, the data flow is constant each time a price quotation is saved (which is done often to avoid data loss).

SAP has partnered with us again, sending out their brightest minds from Germany to optimize the solution. With a mix of short-, medium- and long-term changes planned in both the configuration and pricing area, the goal is to not only improve the end-to-end experience but optimize business processes and the user experience.  A range of changes are slated for Q1 (improving the run times and handling quote saves more efficiently) with much larger enhancements in mind for the coming quarters and beyond.

Thursday, 14 December 2017

The Analytics Journey Leading to the Business Data Lake

More than ever, businesses see their futures tied to their ability to harness the explosive growth in data. You may even be familiar with the Business Data Lake concept—a central repository of vast information which can be used across an enterprise to drive all business intelligence, advanced analytics and even, eventually, intelligent applications.

We, at EMC IT, are in the process of creating a Business Data Lake, and I will be sharing insights about our efforts in this blog. To start, let’s trace the vision that’s leading EMC IT and other businesses to the shores of this new data landmark.

Dell EMC Analytics, DELL EMC Guides, DELL EMC Tutorials and Materials

Path to Analytics Maturity

Let’s consider business use of analytics. In today’s competitive and ever-changing marketplace, key questions businesses need analytics to answer to effectively manage operations and strategize for future growth and competitiveness include:

◉ What happened? How is my business doing and what’s its performance level?
◉ Why did it happen? Why did we experience high cost?
◉ What will happen? Where is more potential for market share? Will my customers stay with me?
◉ How can we make it happen? What can we offer by predicting a customer problem and solving it proactively – so we can ensure higher satisfaction and loyalty.

Based on these questions, Gartner, Inc. provides a maturity path for analytics. Essentially, the first two questions above are answered by traditional business intelligence–where business looks back on more operational data to describe and diagnose problems. This is mapped to descriptive and diagnostic analytics. For example, a sales analytics solution provides a view of current and historical opportunities and bookings, end of quarter reports, etc.

As data matures into information and provides optimization opportunities through advanced analytics, the business begins to look forward to predict and act on opportunities and change.

Thus, the “what will happen” and “how can we make this happen” questions are answered with advanced analytics to predict and explore and avail new opportunities for growth. For example, there is a solution available that helps sales organizations predict sales conversion and close risks of a potential customer deal. The solution collects a broad range of opportunity data and runs it through an analytical model to identify key win drivers. This is a great tool for the sales force to focus on the right deals and ensure closure to increase revenue. Thus analytics serves to predict and manage market opportunities.

This is the transition from traditional business intelligence to advanced analytics.

Along the same line, today’s applications are also moving towards more data-driven capabilities and utilizing analytics at their core. This is a major architectural shift from traditional applications using embedded analytics. For example, customer profile analytics can drive various customer-centric applications to provide more customized, profile-based interactions and outcomes.

Our Journey with Business Data Lake

At EMC, we have grown tremendously, progressing from business intelligence capabilities via our global data warehouse to the world of advanced analytics using Business Analytics as a Service (BAaaS) and EMC Connected Proactive Services (ECPS) – two large scale data stores. Along with high-performing, end-of-quarter reporting, and real-time sales analytics, we are exploring data-science-driven, advanced analytics solutions to identify new product opportunities, standardizing our product configuration in the most effective way or developing models for optimizing sales deals. Yet, we believe we are just scratching the surface on Big-Data-driven advanced analytics.

Key challenges we face in moving toward more innovation in advanced analytics areas include:

◉ Siloed data assets serving pockets of analytics.
◉ Current data assets on aging platforms with limited support technology and not expandable.
◉ Limited consolidation of all structured and unstructured data together.
◉ Limited data and knowledge sharing across analytics users.
◉ Data gathering slowing innovation.
◉ Insufficient governance and data quality management.

We continue to strive towards building a consolidated, more scalable data lake platform where we can empower innovation through agility and more collaboration, providing access to all enterprise, machine data, vendor data or social media data in one logical space. This will help realize our vision of a business data lake driving all business intelligence, advanced analytics and, eventually, intelligent applications via one logical data lake.

Dell EMC Analytics, DELL EMC Guides, DELL EMC Tutorials and Materials

Our data lake is one logical data platform with multiple tiers of performance and storage levels to optimally serve various data needs based on Service Level Agreements (SLA). It will provide a vast amount of structured and unstructured data at the Hadoop and Greenplum layers to data scientists for advanced analytics innovation. The higher performance levels powered by Greenplum and in-memory caching databases will serve mission-critical and real-time analytics and application solutions.

With more robust data governance and data quality management, we can ensure authoritative, high-quality data driving all of EMC business insights and analytics driven applications using data services from the lake. Thus we will move towards the next level of analytics maturity with:

◉ A more scalable Big Data platform with various performance levels serving deep data science innovation to real-time analytics.
◉ Tools to share data and analytics quickly among groups.
◉ Faster innovation through easy and self-service data availability.
◉ Workflow-driven robust data governance.

Our Business Data Lake implementation is a multi-phase journey. Our first round implementation in July consolidated major large-scale structured and unstructured data for heavy-duty self-service analytics and enables the business with quick turnaround for innovative solutions. With this foundational Data Lake setup, we have played with various new technology and architecture concepts. We have made great strides with creative solutions. Along the way, we have also been faced with challenges and limitations of evolving Big Data technologies.