Making predictions are one of the most challenging, yet an unavoidable task, businesses across industries face all the time. “Big data” and analytics are the solutions to this daunting task, helping businesses to become more effective, profitable, and better at making predictions. Enabling your organization use data analytics capability starts with forming a smart plan.
Why data analytics?
Understand data to make predictions
Effective tackling of product or service issues
Understand trends and reinvent processes
Innovate based on customer behavior
Challenges
Understand data to make predictions
Choosing data within and outside the organization
Craft a plan to monitor and utilize resources such as data, analytics, frontline tools and people
Establish plan in common language to focus on goals
Derive accurate insights
Use the insights to transform organizations
Complexities of data analytics
Big data can be unpredictable and are in varying sizes and formats
Data centers keep growing with incoming mass of unstructured and semi-structured data
Inundation and complexity of incoming data, its handling, analysis, lack of understanding and right skills
Industry statistics
In 2012, only 51 percent of worldwide servers in companies were virtualized
Cost hinders another 44 percent of companies from storage virtualization
Steps to get started with us
Develop a strategy and roadmap with our key insights gained from many analytics projects
Understand the required technology, tools and data sets and right skills required with our data analysis expertise
Manage existing complexities of ensuring commitment, process innovation and organizational behavioral changes with our large collection of content.
Though data analytics is complicated, organizations can never underestimate the importance of insights gained from data on their business growth. To get started with your data analytics process, contact us. Read more about our other supporting services such as Business Process Automation and Architecture as a service.
