Skip to content

LATEST GARTNER REPORT: Avoiding the 10 Most Common Mistakes in Financial Services Automation

Services
Product Engineering
Define your product strategy and develop your capabilities to deliver at scale.
Data & Analytics
Deliver business value and actionable insights from your data.
Intelligent Automation
Transform and reimagine your business processes.
Microsites
Technology Radar
Trends and techniques to help you make better product development decisions.
Custom engineering and global R&D solutions
Collaborative path to your product build.
About
Redefining industries
We work with our clients to solve their most complex business challenges, engineering technology that redefines industries and shapes the way people live.
CSR
Environmental, Social and Governance
At Ciklum, social responsibility always comes first. That is why we have strengthened our commitment to creating, nurturing and sustaining a world from which every customer, employee, citizen and nation we operate in can benefit.
Industries
BFSI
We develop technology that drives your IP and provides true market differentiation.
Consumer
We can support a custom omnichannel approach for personalised experiences.
iGaming
We can help you build scalable, compliant platforms for responsible gaming.
Insights
Resources
Actionable insights on topics across all the industries we serve.
Case studies
Find out how Ciklum has helped its clients solve some of their toughest challenges.

Data Science Threats And Opportunities

August 9th 2016
Organisations started to see the value of data science, as the volume of data they had to analyse increased dramatically. Today an estimated 2.5 quintillion bytes of data are created daily
Communications Manager

Within this enormous quantity of data lie insights that could enable the business to gain a competitive edge and provide a better consumer experience, that is why many companies have now made data science a top priority.

big-data-dilbert-image-1-1024x500

 

The issue is no longer about owning the most data, but rather how to turn data into insights. This is where data scientists come in.

Data Science and Big Data – is it the same?

No. The two terms are interconnected and often mixed today. As well as overused. However, Data Science is  an umbrella term, which covers Big Data, Data Analysis, as well as Methods + Algorithms. Data analytics, data analysis, and data science are broader terms and they may deal with all kinds of data, including aggregated one. Big data starts with raw unaggregated data, and is used to produce aggregated summary.

The role of a data scientist is to mine massive volumes of data and pull out main insights.

What about the data science experts tackling these issues?

The enterprise-generated data is expected to exceed 240 exabytes daily by 2020. For this reason, the specialists trained in extracting insights from data are highly demanded than ever.

For the moment, many questions are twisting around what a data scientist is. Let us hear the opinion of Mike Gualtieri, Forrester`s Principal Analyst.

 

 

 

For instance, the Big Data & Analytics Experts in Ciklum are already successfully uncovering new excellent business opportunities by identifying hidden patterns in data. The team rapidly sets up data analytics tools aligned with the business goals to assist clients in micro-segmenting their markets, customising products and transform raw technical data into clear information for making key decisions.

The demand for data scientists continues to grow rapidly, far outpacing the anaemic growth in supply. A McKinsey study predicts that by 2018 the number of data science jobs in the United States alone will exceed 490,000, but there will be fewer than 200,000 available data scientists to fill these positions. Globally, demand for data scientists is projected to exceed supply by more than 50 percent by 2018.

 

How do we shorten the gap to meet the demand of customers for data science?

This summer Ciklum is about to start The DataminDS program and share its expertise. The program includes new talents development by collaborating with online (Prometheus) and stationary (Universities, IT Schools) educational platforms, new courses, as well as internships inside the company.

In June 2016, Ciklum has supported a great initiative: the company provides two scholarships for talented students of the Masters Course with Specialization in Data Science at the Ukrainian Catholic University (UCU).

We have opened the doors for the 1,3-year internship in the Big Data & Analytics team for the students. Ciklum is the first company sponsoring the Master Course and this way we’ve started a long-term partnership with the Computer Science department at UCU.

 

Taking over the best practices…..

In Ukraine, there are other programs training analysts from non-IT industries to become data scientists. Zynga, for example, has recently started its Data Science Transition Program, which enables high-performing analysts to be apprenticed to a data scientist for 12 months. During this time they practically acquire the data science skills while taking online courses on the topic. At the end of the program, the participant becomes an Associate Data Scientist at the company.

In spring 2016, Kyivstar, the biggest telecom operator in Ukraine, has launched the Big Data School. Data science, machine learning as well as applied econometrics were covered in the course for future business analysts.

Closing the global data science talent gap won’t be easy, but it’s critical to ensure companies have the ability to make data-driven strategic decisions. If you need to clean your unstructured data or wish to take your business decisions based on robust analytics, do not hesitate to contact Ciklum.

 

Subscribe to receive our exclusive newsletter with the latest news and trends