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When existing production and operational environments - data, analytics and applications - are merged, a company gains insight that leads not only to process optimization but also to actual transformation of the business. Insight can be delivered with a data centric approach, which requires new data architectures, data schemas, analytical platforms and storage systems. Real difference however comes with transformation, ability to take action on the insight, delivered by innovation in business operations and customer service.
• Data science needs to be optimized for its industry-specific challenge
• Data driven innovation disrupts traditional data schemas and methodologies
• Data is nested and each organization function has its own analytical needs for the same data
• Data strategy can accelerate and drive significantly business transformation