Risk Management Part – 2
Not just any approach The important thing to note while implementing an analytics-based risk management system is that one size does not fit all. Risk management is subjective and must be comprehensive enough to cover all business functions. Moreover, it is not ideal to have an ad hoc approach to risk management; what works best […]
Read MoreRisk Management Part – 1
By big data and analytics Big risks require big data thinking. Financial, operational, compliance, and enterprise are all high risk domains where big data application offers solutions not just in mitigation but also striking the perfect balance between risk taking and commercial gain. Analytics and computations add dimensions to risk management by providing the tools […]
Read MoreWearable Tech: The Next Big in Big Data Part – 2
THE BIG (GER) THREAT? Knowledge is power, and with the deeply personal nature of wearables cybercriminals could wreak havoc. The concern is important since with a smaller data-recording device, the relevance of data increases. A small screen will invariably display important subject lines and senders’ names. Calendars will tell hackers who you met when and […]
Read MoreWearable Tech: The Next Big in Big Data Part – 1
Frontier Tech Wearable tech is the integration of digital tools in lifestyles to improve health. Collecting personal data is the next frontier of data science. This data has tremendous impact on not just individuals but workplace, communities and culture at large. How much sleep are we getting? How often do we exercise? What habits do […]
Read MoreWhy Do You Need API?
What is an API? An API (Application Programming Interface) fundamentally is that which allows your service or product to communicate with other services or products. It is the highway of data exchange—internal and external. In other terms: API is a door into a software program, allowing other programs to interact with it without the need […]
Read MoreBig Data Use Cases
We already know that big data analytics is simple and easy to gain insights. Strategically, enterprises use big data to “work” for them in myriad ways. Business use cases highlight how big data can drive organizations towards tangible results. These use cases are practical points of reference that emphasize why (and how) investing in big […]
Read MoreA Guide to Evaluate your Big Data Needs
Big data will help solve your problems and analytics will open a world of possibilities. But use it unwisely, and it’ll leave you dazed with its sheer volume. Your precious data tools will be rendered useless even as you face a data deluge and don’t know what to do with it. It’s not all that […]
Read MoreBig Data in Science
Rapidly making in-roads into the scientific research domain, the potential of big data in advancing research is undeniable. Traditionally, though, big data has always been used by scientists. Large data sets were used by high-energy particle and nuclear physics. When the Human Genome Project finished mapping in 2003, they were sitting on a data set […]
Read MoreScraping Data: Site-specific Extractors vs. Generic Extractors
Scraping is becoming a rather mundane job with every other organization getting its feet wet with it for their own data gathering needs. There have been enough number of crawlers built – some open-sourced and others internal to organizations for in-house utilities. Although crawling might seem like a simple technique at the onset, doing this […]
Read MoreGrowth Hacking Techniques – Part-2
Growth hacking techniques rely on analytics and data to get better insight. The advantage over competition is more if organic search, SEO, and SEM is right. It is essential for a growth hacker – a specialist in his own right – to be able to answer the following questions: What the customer wants Where he […]
Read More
