Unraveling the knots in a project can be a complex task due to different reasons - unknown depth of problem, over-engineering a solution, unknown risks, dependencies, unavailable talent, etc. and most commonly, an undefined problem. Information elicitation and process mapping become key tools for a business analyst when simplifying complex projects.

Over time, technology grows at an exponential rate. But businesses aren’t able to keep up fast enough. Businesses will need to make systemic changes to be responsive to technology advancements, but the transformation will not happen overnight. This calls for a role to facilitate this change, and we believe that business analysts (BAs) are uniquely positioned to play this role. This session will give a starting point to the BAs to make a shift by understanding some of the key tenets for new age business analysis. This enables them to be change leaders as more businesses are modeled around technology.

Seasoned Sales and Alliances professional with 15+ years of extensive experience and consistent track record in leading multiple strategic initiatives and engagements, sales and BD, GTM via GSI alliances. An avid learner and technology enthusiast, Vinay has always been a keen contributor towards creating new age services. In past, he has worked with Dell, Oracle and Adobe.

Since the advent and adoption of Agile as a new way of working, Business Analysts across several industries haven been posed with a challenge of understanding how they fit into the whole Agile way of working.

More importantly that there is no Business Analyst role in a scrum framework.

This talk will provide indepth understand of the Business Analysis function and the part they play in an Agile environment, the techniques and tools they use and how it differs from the traditional way of working.

At the end of the presentations, attendees would understand the strategic alignment between the Business Analysis function and Agile Methodology.,

As we know success rate of AI project are very low, many usecases reach till successful PoC phase by creating ML model and desirable outcome based on sample data BUT moving them to production with real data starts coming from various sources ex, S3, ERP , Social media etc, And then challenges starts with change in model during training, accuracy in Inference goes down, versioning of dataset, model explain ability becomes important. This session discuss systematic approach to be taking for scaling AI use cases.

Rahul Lodhe is the Senior Director for SAP Machine Learning / Analytics. In his current role, he is responsible for building Machine learning data intelligence platform for realizing / scaling AI and ML usecases. In the past he was responsible for conceptualizing and technical delivery of Leonardo accelerators working across IoT, Machine Learning, Analytics cloud and S4 applications.

He has 17 years of experience in SAP and has worked across various departments in SLI and in multiple roles. His area of expertise. is the SAP Analytics portfolio, Global Tests center, SAP ERP  and SRM (procurement)  areas.  Before joining SAP he has worked extensively in the Database Administration area. He has over 18 years of software industry experience in various companies like TCS, Indiamarkets and now SAP.

Rahul is passionate about driving innovation in products and quality. Having couple of patents on improvement product applications.

Some of the Points to be covered are highlighted below ;
• Roles of BA in eliminating redundancies and reducing manual processes by increasing Automation capabilities and optimising business processes and improve User Experience.
• How B.A can Identify new features and recommend effective solutions to make the system more user-friendly and efficient with a view to retaining customers.
• How B.A can engage Stakeholders effectively to generate business Solutions that will meet business needs and deliver business Value
• Requirement Elicitation, Documentation and Management – Crucial to System User Experience and Project Success.
• Role of B.A within Agile Landscape and how this can revolutionise customer experience.
• How B.A can support Testing activities to ensure defect resolution and deliver system with minimal defects.

I am a Motivated Business Analyst with significant years of experience within the financial services domain, delivering Process improvement and Regulatory projects, Business change, Digital Transformation programme covering Payments, Wealth management, Credit policies, and Risk Remediation Initiatives In order to Transform Customer Experience and Deliver Business value.

Outline of the talk -
1. Making data driven assumptions and recommendations for product and customer experience optimization.
2. Combining persona, web surveys and customer service insights to understand customer's journey and pain points.
3. Defining customer driven product roadmap vs business driven product roadmap.
4. Always start your requirement user story with "As a Customer I'd like to"
5. How AB testing in combination with web analytics and customer session recording are delivering enhanced customer experience.

Unraveling the knots in a project can be a complex task due to different reasons - unknown depth of problem, over-engineering a solution, unknown risks, dependencies, unavailable talent, etc. and most commonly, an undefined problem. Information elicitation and process mapping become key tools for a business analyst when simplifying complex projects.

Business analysis is one of the most versatile professions, allowing us to understand more sides of the business than most, and enabling a work life balance many struggle to achieve. You can specialize in process, or agile methodologies and software development, or system integration, or operational excellence, or RPA. There are noticeable trends at play; BAs functioning as project managers, bots are changing our solution options, and who knows what AI will bring to the table? That said, many of today's top companies are still working on process and data efficiency. Most aren't ready for full automation and the big ideas many of us get when asked to solve a problem. They're often focused on converting to a more fluid and integrated system. Based on that I think we're still a ways off from being replaced by machine. We still have time to explore our interests, leverage the versatility of this role, and assess the future as it unfolds.