(US & Canada) VIDEO | Your Data Architecture Should Take Structured and Unstructured Data — IBM Partner, Data, Analytics, Technology, Transformation, and AWS Alliance Leader

Dr. Sue Tripathi, Partner, Data, Analytics, Technology, Transformation, and AWS Alliance Leader at IBM, speaks with Derek Strauss, Chairman at Gavroshe, in a video interview about transforming data assets into data products, scaling architecture, combining data warehouse and data lake, managing and governing data quality, and leveraging personalization and elevating customer experience.

At the onset, Tripathi explains that the transformation of a data asset into a data product is driven by customer requirements. The organization must think about enabling access to real-time data, and build an architecture that feeds real-time customer data for personalization.

Next, Tripathi suggests scaling modern-day architecture to scale and unify the data in a single place, making it easier for customers to access the data and use it based on their needs. She explains how her organization is breaking down the traditional data silos and creating a centralized data lake. Tripathi notes that data lakes can include both structured and unstructured data.

She further mentions the concept of the data lake house, a combination of a data warehouse and a data lake. Tripathi adds that this is born out of the need to have an appropriate data architecture that is not only smooth but can also take a combination of structured and unstructured data.

Citing an example, she states that merely having access to the medical records of someone does not provide extended information on their personal lives. Therefore, to know the patient better, data is collected from social networks and other data sources, which aids in providing preventive care instead of intervention.

Tripathi believes this can be used to benefit a patient's mental and physical health by providing an understanding of history and current situation. Ultimately, the goal is to demonstrate how modern-day architecture can positively impact an individual's health and well-being.

Moving forward, Tripathi emphasizes that when considering modern-day architecture, the importance of managing and governing data quality is paramount. She recommends having a test to evaluate data quality and have metrics driven by cost, efficiency, and productivity.

She further states that choosing the right kind of architecture is critical when it comes to modern-day architecture as it leads the organization to personalization.

Accordingly, Tripathi suggests that customers now have more choices at their disposal than ever before. She uses Netflix as an example, as it creates a personalized experience, by learning a customer's patterns, predicting what a particular person would like to watch, and then creating a real-time feed for that individual.

CDO Magazine appreciates Dr. Sue Tripathi for sharing her insights with our global community.