Business Performance Insights

Competitive businesses require agility in managing business performance. Managing growth and maintaining market share momentum against competition requires businesses to manage day to day effective decisions on:

  • New products, pricing and placements
  • Channel mindshare
  • Managing Customer Lifecycle Value
  • Managing business Infrastructure

Efficiency (to be optimal in spend) and Effectiveness (whatever is being spent is providing business results) are always sought after by Businesses.  The market changes are dynamic and can create dark spots that takes quite a long time to recover.

Real Time Data Science can play a pivotal role in providing insights on the efficiency and effectiveness of business processes. By analysing large amounts of data in real time, data science can identify actionable insights that can help businesses make better decisions and manage growth drivers better.

Application of Data Science can make the Business Process more Data driven:
1. Identify Data dark spots in the process

  • Provide hooks to Identify and eliminate Data dark spots by augmenting data from various internal/external sources

2. Accelerate Performance Management

  • Monitor the performance of the process and identify areas of improvement
  • Identify and reduce bottlenecks by providing actionable real-time insights that can start by faster reaction, and then move to proactive and predictive methods

3. Decision making with quantifiable, data-driven evidence

  • Enriching and contextualizing the data from multiple internal and third party sources
  • Providing insights by analysing and co-relating data
  • Providing accurate forecasts based on which Informed Business decisions can be made

Operating a SaaS model for Real Time Data Science provides a true partnership between Nextqore and its customers. Customers provide the true business context and Nextqore implements scenarios and insights in a way that’s the agility in a combination of growth areas to enable growth manage and effective market facing spends.

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Case Study

1. How digitalization transformed Product Lifecycle for a book retailer

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2. How an MNC took Control of Its Cloud Infra Costs with Data Science

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