Introduction
In the upcoming decade, businesses would be exposed to larger volumes of data. New challenges would emerge with growing volumes of data. The scope of analytics and our data processing capabilities will need to evolve to cater to this data surge. In the present times, our data analytical capabilities are restricted to three stages. In the first stage, data is collected and transformed into a structured format from unstructured format. In the second stage, critical insights are derived from structured data sets and in the third stage, data visualisation is done and recommendations are forwarded. This three stage process needs to be amended and inputs from artificial intelligence and data science need to be taken into consideration. In addition to this, short term courses in data science can be introduced to increase the familiarity of businesses with the process of analytics. Various analytical startups have already started short term data science courses in Bangalore that are mandatory for all probationers and new entrants.
Countering upcoming business challenges with data analytics
There are a large number of challenges which businesses may face in the future. The majority of these challenges are related to data discovery, data insights and data appropriation. The challenges like data privacy and data security will also be in the limelight. To counter these challenges, we propose the following recommendations. The gathering of data needs to be substantiated with effective data discovery tools. For instance, data lakes and data warehouses may be used in this regard.
In the future, we may also expect deep learning techniques to cater to the large fabric of data that is continuously expanding. Different types of brain-computer interfaces will also be harnessed to solve various types of data challenges. For the process of deriving insights from large data sets, the power of artificial intelligence will become extremely crucial. With the help of artificial intelligence driven simulations, we can conceive a large number of data models that can account for the data surge we may face in the future.
In the upcoming decade, the emerging business challenges can be effectively countered with the help of collective augmented intelligence. Given a very large lake of data, we may use the spontaneous capabilities of the human brain as well as computing machinery for structuring large data sets. Once the data sets have been structured, the process of deriving insights becomes relatively easier. Finally, project specific recommendations can be given to various types of businesses to make the process of analytics personalized in nature.
Concluding remarks
In the near future, visual data stories can be created to give life to dormant datasets and derive deep insights in an intriguing way.