Persistent Systems

Shaping the future of software driven business

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Annual Report 2018-19

Data strategy assessment and roadmap

development to ensure complete alignment

with business and governance goals.

Evaluating, designing, and implementing

data lakes and other storage and compute

platforms to help build a strong foundation

for data in an organization.

Application of data science and machine

learning algorithms to achieve process

transformation and industry-specific outcomes.

Creation and migration of the data analytics

stack on the cloud for scalability, enabling of

newer businessmodels, anddeliveryof advanced

intelligence capabilities and applications.

Data Strategy

and Governance

Architecting Data

Platforms

Artificial Intelligence

and Machine Learning

Cloud Analytics

Sameer Dixit

General Manager

AI, ML, and Data

Persistent Systems

We are seeing an increasing number of organizations looking at refining data, the

new “oil”, to gain insights on new opportunities and obtain competitive advantage

via data monetization. Data monetization is the “art of the possible” and we are

enabling customers to harness the value of data where the data could be within or

outside the organization. As organizations treat data as the new product, we see

their monetization falling into four categories: Enrichment, Aggregation, Spinning,

and Promotion. Each of these further expands into use cases that provide benefits

such as increasing revenue streams, increasing decision speeds, gaining competitive

advantage, reducing/optimizing costs, increasing insights, finding new business

models, and more.

Expertise