Tuesday, September 28Welcome

THE FUTURE OF DATA & BUSINESS ANALYTICS – 5 THINGS TO EXPECT

Before giving you 5 major things to expect in Data and Business Analytics let me give you a brief intro on What is Data Analytics? Data Analytics is the process of performing the analysis (computational) on datasets to explore, discover, interpret, and communicate patterns or insights in a dataset. It supports companies in making some key decision-making. Data Analytics and Business Analytics are just slightly different, as one focuses on giving the support for making organizational changes and the other focuses on getting the business on track and focuses on making growth. Companies need to invest in both of them right now. As data decides who will remain a leader and who will fall back in today’s market scenario. Let’s take a look at 5 things to expect in Data and Business Analytics.

Lack of qualified Data Experts will pose a challenge.

We are already facing a massive shortage or lack of supply in the job sector when it comes to the Data Science and Business Analytics domain. It is because of the lack of qualified professionals in the industry. And the preset to that is lack of good training.

There must be a dedicated effort to solve this crisis before it’s too late. It is a real crisis and not just an analytics firm’s predictions. You can start by offering higher perks for existing professionals, create a program that identifies professionals from the internal team who like Data and Business Analytics, put them through paid training and take care of their requirements, or attract new talents from outside the organization.

With easy-to-use Business Analytics tools, new Business Users will get the job done.

There is a new trend coming in the IT industry that is code-free software and environment. The UI of these will be very easy to understand and use so that the business professionals who are predominantly from Non-Tech backgrounds will be able to operate it without needing any help from technical professionals.

These Business professionals need not understand the underlying algorithms to work with data. These tools focus on increasing the usability and use of natural language for data extraction, report building, and many other purposes. If you wish to get into Data Analytics, check out this Data Analytics Course to master the skills and get industry exposure.

More data means more business. But it also poses a challenge.

Data is the new oil! The more data you have, the more business you can conduct. Many customers will interact with a business to buy or use a product or service. Each user will have their data stored upon their data stores. Today companies increasingly need massive data stores, which are also known as Advanced Data Networks. Companies treasure these networks, as they provide the valuable data of a customer and their behaviors.

The availability of these Advanced-Data Networks helps companies to fill their data gaps and help them offer personalized services which are tuned to their likeness and dislikes. This additional data from each customer will help companies set up new services that can help you address unknown demands or needs.

There are a whole lot of other challenges too regarding data that companies and higher authorities must chip in before losing the competitive edge that many companies hold in the market. And these problems are maintaining the accuracy of the data, managing source data effectively, ensuring data consistency, new data sources from various channels including video streams, photos, online behaviors, ever-growing security concerns of storing data, cautious about the privacy of their customers, and many companies having a similar set of tools and technologies will create a highly competitive environment.

The future of business depends on AI and ML.

It’s clear and safe to say that every sector will depend on Artificial Intelligence and other associated domains like Machine Learning, Deep Learning, Advanced Neural Networks, Natural Language Processing, etc. And not just the business sector. These new-age technologies are still in their nascent stage, and there is a lot to go from here. No one has mastered AI or ML, everyone is trying to extract maximum from these technologies. It surely has turned into a race of the supreme to harness the maximum power by leveraging the technologies in hand. AI and ML will help set up services catered to different industries and different customer demographics. And industry insiders and experts already believe that many of the customer services roles will be handled by Machine Learning in the future.

The future is all about interconnectivity.

Governments around the world are eyeing sustainable goals for the future of the earth. For sustainability to become a reality, we have to connect a wide variety of resources to better understand the demand accurately and thus produce goods and services in an eco-friendly manner to ensure that we do not overproduce that has to be discarded after. There is a growing need for interconnectivity and thus a need for stronger networks like 5G, which will be a boon for all the connected devices like IoT devices, Autonomous Vehicles, etc.

The companies looking for connecting their products and teams for faster data collection, analysis, predicting, and resolving issues, must invest big in Data and Business Analytics. And merely collecting data will not yield results. Having the proper infrastructure to handle data and extract insights from it will help propel the company amid tight competition.