Let big data surprise you
Big data analytics is a key aspect of data-driven disruption in the modern era and has a strong impact on how businesses make decisions today. By leveraging massive datasets, businesses may discover insights and trends and make informed choices. The big data and analytics “storm” transforms operations, manufacturing, maintenance, user experience, marketing, diagnoses, human interactions, every aspect of life and business.

Therefore, joining the wave becomes an imperative for the business world.
To that end, Neollect helps its clients seize the opportunity to grow and disrupt through a deep dive into the world of big data, artificial intelligence and machine learning.
Neollect works with clients to unlock the power of big data and analytics. We may:

  • assess your potential for digging data and the quality of your internal and external data;
  • examine the potential of emerging technologies, such as machine learning, in your specific industry;
  • chart your strategy to apply data and analytics to your business;
  • select the suitable, AI-powered cloud platforms, analytics tools and technologies, customized to your business needs that will allow you to store, manage and analyse data;
  • suggest pilot projects and quick wins and help you implement them;
  • empower you to make use of AI and machine learning models to forecast future trends;
  • support you in building a data-driven culture, breaking silos and cultivating collaboration;
  • define the features of analytics talent and expertise that are appropriate for your organization and help you find them;
  • develop the transformation roadmap and run the associated PMO activities.
How we may help
Your benefits
Through Neollect’s assistance with charting and implementing an analytics and data strategy, our clients will:

  • acquire a clear understanding in the opportunities created by technology enabled disruption in big data and analytics related to specific industries;
  • gain an ability to use data and create insights in targeted applications;
  • understand the current level of AI awareness and proficiency in the organisation, define the skills that need to be developed/acquired and attract talent;
  • improve the efficiency of operations and productivity;
  • enhance supply chain management through analysis of supplier data, inventory levels, transportation and customer demand patterns.
Supporting decisions using big data