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Thursday, March 21, 2019 
08:30 AM - 09:30 AM
| Level: | Business / Non-Technical
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Cloud Data Lake is at the core of any Modern Data Architecture Strategy. While the data supply chain tasks associated with the Data Lake such as data acquisition, ingestion and storage are significant, it should be noted that the data in a Data Lake is primarily stored in its raw form. This poses a lot of challenges in making the data useful to the consumer community.
Typically Business Intelligence Platforms allow internal and external consumers to navigate through the available data in a contextualized manner. In order to make the user experience more effective a series of processes needs to be in place. Depending on the industry and the unique needs of an enterprise the processes and their sequences might need to be customized. In this session, the audience will learn about Business Intelligence Strategy that describes what the different processes, and their interplay with the data and technical tools are.
Use cases from the presenters' recent implementation at E Research Technologies will demonstrate the value of these strategies.
An accomplished Data Professional Padmaja excels in architecting end-to-end data solutions enabling companies to derive value out of their data assets. In her current role as BI Architect at ERT, she conceptualized and designed the first-ever cloud-enabled enterprise-wide Business Intelligence platform, Seamlessly integrating with the cloud-based data pipeline, the BI platform standardized and streamlined previously fragmented reports authoring and delivery processes.
Passionate about all things data, she regularly shares her knowledge and expertise generously in blogs and workshops. She frequently speaks at local professional groups such as Women Who Code, General Assembly and other data-related career development forums driven by her desire to see more women in technology. She dedicates her spare time on her social enterprise SanghWE to build solutions aimed at empowering female professionals who are also survivors of sexual abuse and trauma.
Steve Akillian is the head of BI Center of Excellence at ERT, a leading life sciences software company. He has over 30 years experience building data-centric and data analytics focused commercial software applications and services in the life sciences, healthcare and financial sectors. One of his products, a leading EDC solution, won “Best of Show” award at Bio-IT World for its reporting analytics solution. At ERT, he is currently building a cloud-based, data analytics solution that aggregates data assets across multiple ERT business lines for both an embedded product solution for customers and for internal operational metrics and analysis. Under his leadership the BI COE team has defined and constructed a BI framework, and the first product reporting deliverable that leverages the framework. Steve holds a BS from the Boston College, School of Management and an MBA from Bentley University.
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