The Analytics Advantage

The Analytics Advantage

1. is

   • Basically the superiority that provides to the companies the practice of using data to manage information and performance.
     • Into making good business decisions.
   • Only at the beginning of its impact as a competitive resource for organizations
     • Having a projection of growth in importance on the the next three years.
   • Still not being used for decision making, and many organizations have only rudimentary analytical technology
     • For that reason there are several steps that business can take to position theresels for analytical competition:
       • Acquire the necessary talent now
       • Tie your analytics work to decision-making
       • Create more central coordination for analytics
       • Plan your strategy for analytics over time
       • Apply analytics to marketing and customers

2. through

   • Survey statistics, indicate that the acceptances and implementations of analytics would likely increase if the function
     • were more centrally structured
   • Survey responses identified a number of key hurdles to overcome
     • in order for analytics to play a more significant role in the enterprise lies with the
       • quality of the data itself
       • The inability of some companies within the number of individuals or the skill levels required for data analytics
       • IT of the company
       • Lack of executive advocacy

3. has

   • Made large and small companies take advantage of data to understand and improve their
     • Operations
     • financial models
     • customer relationships
     • supply chain
     • workforce
     • business opportunities
     • competitive standing

4. indicate

   • In consistency with previous experience from Deloitte Analytics, that corporations and organizations are moving to use big data and analytics to
     • track consumer sentiment
       • build customer loyalty
         • gain competitive advantages
           • make more effective business decisions
   • That the analytics must be able to do three things:
     • solve a problem
     • be predictive
     • be implementable

5. According

   • To Davenport, organizations that want to do big data “right” need to consider three talent-centric pursuits:
     • Evolve hiring practices within analytics to focus more on data scientist hybrids
       • Hire really talented people with either computer science or analytics backgrounds
         • Work with administrators and faculty at universities to create a master’s program in data science

6. Show

   • Us Two areas where analytics drives ROI
     • Cost reduction
     • Income production