Two Most Important Trends in Analytics and Big Data in 2015

In 2015, two most important trends in Analytics and Big Data are in developing countries and big data security.

By Imelda Llanos de Luna, @OfCloudPeople.

Here are two most important trends in Analytics and Big Data in 2015, in my opinion.

1. The Collection of Big Data and the Use of the Fundamentals of Analytics in Developing Countries
big data In my world and from my perspective, one of the most important trends in 2015 in Analytics and Big Data will be the advancement in the collection of big data in developing countries with the practice of the fundamentals of analytics – meaning basic data gathering by learners of data science and using analytic fundamentals to help their societies. This might not seem like a trend, with emerging technologies, features, applications and practices in the spotlight of industry news and with big data collection and analytic fundamentals seeming like yesterday’s news in Europe and US. However, as popular as those trends will be, they will mostly trend in Europe and the US and parts of Asia, whereas data collection and analytic fundamentals will trend much further, contributing to the development of heavily populated underdeveloped societies where social challenges are greater than Europe’s and the US’s. The impact of advancements into developing regions will determine big data collection and analytic fundamentals (in combination) to be an important trend in 2015.

In the US, we live in a country where people are already thinking of how artificial intelligence will be a part of our daily lives, which is demanding of evolved engineering, machine and deep learning, and big data. Companies such as Facebook and Google are working towards that, and it is tempting to write in this article about what the future has in store on this front including in 2015, but the rest of the world is not there yet. The rest of the world is dealing with societal challenges yet to be studied and managed better (e.g. disease, crime, politics, economy), with the collection of big data and the use of the fundamentals of analytics as seen in the US.

My family comes from country where there is a high crime rate, high poverty, curable diseases and illnesses still unchecked, dated infrastructure and an overall economy that should be strong from oil production but is not. It also has micro-societies (i.e. indigenous) and archaeological sites that have existed for thousands of years to consider when trying to solve societal challenges. Many issues are plaguing the country and specific areas of the country. If it sounds like it could be any of several countries around the world, it is because there are several regions globally that are facing similar challenges. They are enduring similar addressable societal plagues, which citizens can better manage and control with the help of data collection and analytic fundamentals – to improve overall society and to preserve ancient ones. Think of Latin America as one region.

big data trends There are reasons why there can still be a trend in 2015 when challenges seem so great, as described above. It is actually the right scenario. First, there is a need in developing countries with large populations to make changes for the well-being of their societies. Second, there are learners such as myself and people connected to me who want developing countries to overcome such challenges; there is nothing to lose in trying. Third, big data and analytics in practice in the US and Europe, with lessons learned to help developing countries. Fourth, experts are regularly teaching data collection and analytic fundamentals to learners around the globe through free material, lectures, and courses. News of such teachings are being communicated, e.g. via Twitter. Now, learners around the world, who are taking advantage of free education, are taking what they learn about big data and analytics back to their real environments to practice or to apply.

Not to oversimplify the learning of big data collection and analytic fundamentals for developing countries, there are subjects required to acquire necessary knowledge to work with data, e.g. statistics, behavioral science, social science, criminal justice, physical and life sciences, and computer science. Universities globally have been providing instruction on those subjects for quite some time, prior to Big Data and Analytics taking shape. Developing countries have university graduates who have completed such coursework. More recently, there are free opportunities to learn specific subjects of Big Data and Analytics to build on those learned subjects, including about Hadoop for distributed storage and processing. For instance,,,, and offer free Big Data and Analytic education material, webcasts, and/or programs. Learners with a computer, an internet connection, free analytical tools and software, who understand, read and write English can participate. Those businesses have data to share of their big data education reach, i.e. learners of big data collection and analytic fundamentals (by region), which can be analyzed for a trend.

To give a better idea of impact of how developing countries will benefit from big data and analytics, to “improve” their processes and operations for the welfare of the public, here are just a few examples:

  • Predicting better where the economy will head with more specific data, what will happen if any of the factors were to change
  • Trending crime to control and prevent the spread or increase, and eventually reduce
  • Tracking migration of micro-societies for their health and well-being e.g. indigenous

In 2015, two societal challenges for developing countries to undertake are likely to be: crime and disease (health). Mexico is a good example of where this is likely to happen in 2015, considering current events there, the size of its population, the constant concern over their soaring crime rate, and the quality of medical services in impoverished communities. Additionally, Mexico has micro-societies like the US (i.e. the indigenous groups) which need to be considered and monitored even more closely, which data methods can help achieve.

In 2015, the practice of data collection and analytic fundamentals will reach developing countries (with data to measure this) and its impact will be significant enough to make it an important trend. One can begin by looking at the distribution of free education and material to learners and their participation (by region) and at Hadoop’s market (and those of competitors), again, as a start.

2. Big Data Security
Security Another important trend in 2015 for Analytics and Big Data will be new big data security advances, to protect customers and the greater public in general. Big Data breaches have been so common lately in the US that it seems like not a week goes why without an announcement of another one in news media and social media, directly from businesses to those impacted and/or from the US government; one has to think about big data breaches across all industries. Data breaches of high profile companies alone are charted here. With big data breaches, there are regulatory, legal and financial repercussions, as well as the reputation of businesses and governments at stake. It is in the best interest of businesses (and investors in such businesses) and governments to invest in more advanced methods of encryption for the now, in continuous training for their staff and in new security technologies for the future. Customers, investors, the greater public and the US government are expecting that in 2015. However, even without that expectation, businesses and the US government will make the effort in 2015. Businesses are getting a better understanding of what the gaps are in their operations in big data security from previous data breaches across industries (e.g. chain stores with credit card information, hospitals with health records) and the impact on the public, as citizens publicly voice their concern through news media and social media and in lawsuits, with emotions well expressed. In 2015, businesses will make strides in the advancement of big data security significant enough for it to be an important trend in Analytics and Big Data.

Imelda Llanos de Luna is Business and Data Analyst in San Francisco Bay area.