Move to SaaS offers proven benefits around agility, scalability, faster product releases, and opportunities for greater profitability through standardised architecture. Your data and your customer’s data is paramount to your success. It gives you the insights into how to maintain and accelerate your business, understand what your customers are doing, how your business is doing and provides the backbone of the value of your services.
Register to watch this workshop as we deep dive into understanding the different ways to optimise, scale and take control of the data.
Agenda
Duration
Topic
5 minutes
Welcome
Speaker: Christopher Logan, Sr Manager ISV Solutions Architect, AWS
30 minutes
How to use data for SaaS success
Level: 200 Data is guiding the focus of SaaS companies in identifying impactful outcomes, ranging in user-experience, customer growth, innovation and operational efficiencies. This session explores the role of the technology organisation, technology infrastructure and data applications that enable product-led growth and product innovation.
Speaker: Sri Nadendla, ISV Solutions Architect, AWS
30 minutes
Build and evolve data products with AWS Modern Data Architecture
Level: 300 Businesses look to innovate and provide their customers more value from data by building data products. Data product team has different focuses at different stages of a product's lifecycle. In this session, we explore a number of data products use cases, including analytics dashboards, Data APIs, user behaviour analytics and a recommendation engine. We leverage AWS services and architecture patterns in AWS Modern Data Architecture to enable fast delivery of an MVP, and allow data products to grow and scale when the need arises.
Speaker: Frank Tan, ISV Solutions Architect, AWS
30 minutes
Design a multi-tenant SaaS data lake
Level: 200-300 In this session you will learn about Data Lake SaaSification , different models that you can use for creating Data Lakes for your tenants, best practices of implementing multi-tenant Data Lakes, a quick overview of how interactions in a multi tenanted data lake architecture would look like and a demo to show you how you can create one for yourself.
Speakers:
Srishti Gandhi, ISV Solutions Architect, AWS
Maheswaran S, ISV Solutions Architect, AWS
30 minutes
Hydrate your data lake with SaaS application data using Amazon AppFlow
Level: 300 While a datalake strategy has worked out very well for the traditional applications, it has been a challenge to ingest information from SaaS applications. As more and more organizations look towards SaaS offerings from ISVs, there's a need to bring this data together along with the data from the conventional applications. This session explores Amazon AppFlow to hydrate datalake with SaaS data to draw rich insights and drive meaningful outcomes to both Customers and the Business.
Level: 300 While the value of capturing metrics is easy to understand, instrumenting and surfacing this data does require teams to invest in creating the infrastructure and mechanisms that can enable the capture and analysis of this metrics data. In this session, we'll take a look at how you can approach capturing metrics from your SaaS application, to give you a clear picture of how tenants are exercising your system, to model functional and operational profiles of tenants.
