Analytics trends in the business world
Data is power for small-scale businesses. Ensuring the compatibility of adopted strategies with the business goals and objectives is supremely important for any business to grow. With ample insights into the usage of their products and services, smaller businesses can learn about customer interests, predict trends and align their marketing and product management approach. And this is when analytics comes into the picture.
What is analytics?
Analytics is the systematic analysis of data using statistical, computer programming and operations research techniques to derive patterns and meaningful insights from it and utilise them to make decisions effectively. It helps obtain a comprehensive analysis to understand what is working and what needs to be improved. It is time that small & medium businesses start owning data analytics and use it to their advantage.
For small scale businesses with limited resources and assets, social media pages and company websites can be tracked efficiently to gather customer data (Read: Image Analytics and AI in social media marketing). But merely gathering this data doesn’t complete the job. The data obtained requires sorting and visualisation. Tools like Google Analytics and Tableau provide analytics reports free of cost, hence are considered as the most feasible options for data analysis for smaller companies. R and Apache Spark are a few of the other popular business analytics tools.
In 2019, the following data analytics trends were prominent in the business world-
1. Deep learning- Deep learning, a part of machine learning has advanced techniques that are helping companies and firms to improve their decision-making abilities and facilitate operational work. It is based on artificial neural networks with representation learning. These are capable of sorting and structuring a large amount of data. An example of application of deep learning for many businesses is content recommendation. Businesses should start using deep learning to analyse the user’s taste and recommend content accordingly thus improving customer experience and easing marketing efforts.
2. Machine learning- The adoption of machine learning is increasing by leaps and bounds, and that’s not surprising given its benefits, from eliminating manual tasks to deducing useful insights from data. A subset of artificial intelligence, machine learning is the study of algorithms that improve on their own. Customer Segmentation & Lifetime Value Prediction are some of the most popular applications of machine learning in business.
3. Dark data- Dark data is the data that is acquired through computational operations but is not used to predict trends and draw conclusions from. Unused email correspondences and raw survey data are examples of dark data. This data obtained is analysed to obtain information like the customer’s preferred mode of communication. The traditional unstructured data that inundates the data centres in firms can be interpreted easily using dark data analytics and can be used to promote the growth of the company.
Small-scale businesses can use data analytics and machine learning algorithms to track customers throughout the sales and transaction cycle and can use analytics reports to find answers to questions like at what stage products and services are brought most frequently, thus improving customer service.
Analytics techniques provide detailed insights into customer behaviour and this knowledge is remarkably valuable to developing businesses. Analysing customer reviews, frequently asked questions and conversations between sales assistants and customers can contribute in setting standards to improve customer service hence boost growth. Analytics can also be used to manage budget and expenditure efficiently. Businesses with abundant resources can invest in multiple marketing strategies and opt for business intelligence solutions but smaller businesses can neither afford nor apply these on them. In such cases, analytics plays a crucial role. By focusing on a limited number of established and tested sales strategies the smaller companies can manage to increase the RoI.
Data Analytics and Business during the pandemic
While the global health professionals and scientists are joining hands to accelerate the research and development process and devise standards to curb the spread of the coronavirus, a major section of the business world comprising of the small-scale businesses is struggling to survive the economic and global supply chain disruptions. But on one hand, as this crisis complicated the lives of businessmen, on the other it opened newer dimensions and perspectives for them specifically in merging with the field of data science and data analytics. A recent survey conducted by Sisence, a Business Intelligence software company, suggests that businesses are shifting massively to data analytics to help them sustain the pandemic and expand their business.
Analytics is booming since and before the rise of the Covid-19 pandemic. Encountering the sudden downfall in revenues, businesses are using analytics reports to cater to the changing demands and needs of their customers and search for ways for better performance in their respective ventures (Read: Stories of small business: resilience amid COVID-19)
Some insights into the survey:
The survey demonstrates that 55% businesses, during the pandemic are using analytics techniques to improve efficiency and 47% and 45% of the total that were surveyed are using the same to support customers and predict future outcomes respectively.
The usage of analytics has catapulted significantly in the smaller firms and companies. 68% small businesses are using analytics for operational purposes, 56% in finance, 50% in sales and 45% in products.
Most importantly, this survey reveals that the data professionals remain optimistic about the business opportunities and the importance of analytics in businesses despite the growing economic challenges. 79% of those surveyed believe we’ll survive this global crisis and there are no chances of data analytics trends getting diminished in the near future.
Why did the small-scale businesses suddenly observe an ardent spike in the usage of data analytics during Covid-19 pandemic?
Small businesses are focusing on improving their efficiency and building a strong customer base. They are certainly not established enough to opt for a single streamlined business intelligence solution, like other larger companies. Therefore, to draw insights and convert them into actions, data analytics is the most suitable tool for them. And this is why the businesses that have employed less than 200-300 people have shown the maximum increase in the usage of data analytics during pandemic.
By 2021, 265% growth is expected in e-commerce sales which implies huge amount of production of data. And with two out of every three companies opting for data analytics in the present to manage their data, the increasing demand for analytics skills seems justified.
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