Deploying Data Technologies Certificate

Deploying Data Technologies Certificate

The courses in this certificate will address the technical considerations for implementing and integrating the information technologies that are required to have a successful/valuable big data/business analytics/knowledge management strategy across the enterprise, including robotics process automation, Cognitive Computing, AI (Artificial Intelligence), Blockchain, IoT (internet of things), Bring-Your-Own-Infrastructure, SMAC (Social, Mobile, Business Analytics, and Cloud), and security.

Business Analytics/Intelligence has remained the top application/technology (a clear standout) since 2003. Companies value the ability to analyze data/information to gain insights as they compete to rapidly and accurately advise internal and external decision-makers.

Some call data the new oil. Others call it the new gold. Philosophers and economists may argue about the quality of the metaphor, but there’s no doubt that organizing and analyzing data is a vital endeavor for any enterprise looking to deliver on the promise of data-driven decision-making.  With the future of IT being driven by these technologies (in marketing, R&D, HR, legal...), every organization should be obtaining demonstrable value from implementing an effective data driven innovation strategy where big data means bigger and better decisions. Every organization needs to have a team of effective data scientists.

However, focusing just on data, or on technical considerations will not lead to demonstrable business value. 

Google’s chief executive, Eric Schmidt, observed that “There were 5 Exabyte’s of information created by the entire world between the dawn of civilization and 2003. Now that same amount of information is being created every 2 days.” An Exabyte is equivalent to 1 billion gigabytes. While perhaps slightly exaggerated, an undisputable fact is that humanity is awash in data. The premise of big data is that all of this information can yield (is yielding) powerful insights. The difficulty is in how to harness the value of data. 

A recent IBM MIT Sloan Management report found that companies that harness the power of big data and analytics outperform those that do not by 220%. To be successful in deploying BI, candidates require enriched expertise in data management, statistics, modeling techniques and tools, and the industry they are working in; they need to understand how to move from Big Data to Smart Data.

Addressing the 4-V’s of Big Data have become fundamental for data scientists:

• Volume: The integration of existing enterprise data with Social, Mobile, Cloud, and Internet of Things is driving the data explosion
• Variety: Capturing all of the structured and unstructured data that pertains to the enterprise decision making processes
• Velocity: The rate at which data arrives and the time required to process and understand it
• Veracity: The quality and trustworthiness of the data