Insights

Quality and efficiency of data analysis process largely depends on “data quality”. Today’s trend of enlightenment on the importance of data and high expectations from data analysts to add value to an organization remains unsupported without accurate, complete, consistent, valid, unique and timely data structure.

Without a proper understanding of business, the results of a data analysis remain useless. That’s the main challenge of future data scientists. Coordination with business, understanding of main trends and constant improvement is key success factors initiating the creation of value through data science business.

Expanding internationally in today's globally interconnected world is far easier than it used to be. Planned correctly, your enterprise can achieve in the international market. Focusing only on the domestic market may increase your risk exposure as a consequence of downturns, political factors...

Business world seeks a new purpose for the corporation because the answer to the question “How well does the capitalism serve society?” seems to be pretty embarrassing.

“Big Data” is a term that means different things to different people and this deep and wide topic touches many other issues such as data analytics. The general view is that big data will have a widespread impact on everything because having the most accurate and complete data collected from ...

The die is cast!  We are already in the digital age and almost all of the business processes in companies will be affected by its consequences. Rather than the extent of the impact, we should focus more on opportunities and challenges offered by this change.

In identifying, segmenting, mitigating and monitoring bribery risks associated with third parties and using relevant data to design proportionate due diligence is critical to the third party anti-bribery framework.