Big data returns to huge volumes of structured and unstructured data; however, processing such massive volumes of data via traditional data management tools is inefficient and impossible. To understand big data you have to realize the devices that are collecting it today eg bar code scanners, mobile cameras, CCTV cameras, motion sensors, smoke alarms, web analytic tools, CRMs, etc. From the examples, you can see that these devices collect a vast array of data types since the structured and unstructured part in the definition. The sheer velocity at which the data is being produced can not be controlled and processed using traditional methods and tools.
However, the use of big data and incorporation of big data analytical technology gives businesses the competitive edge over their competitors.
Big Data and Small Businesses
It is only a thing of the past when terms like big data and business intelligence were associated with large enterprises only. Today, small businesses have to leverage the data they are collecting in order to remain a part of the competition. For years, cost has remained the main reason why small businesses did not adopt large data analytical technologies, but this has changed now. There are budget-friendly tools available for small businesses to take advantage of the data they are collecting today. According to some experts, small businesses can take better advantage of big data since they are able to make the necessary changes far more quickly than large enterprises ie real-time response to insights from available data.
According to an IDG study in 2016, 78% of the large enterprises agree that the big data strategy has the power to change how businesses have always operated. This shows the acceptance of big data technology and strategies for large enterprises and strengthens the fact that small businesses could become irrelevant if they did not adopt the same strategies.
Benefits of Large Data Analytics
Large Data and Big Companies, a report by IAA Director of Research, Tom Davenport, reveals that businesses are greatly benefitting from large data analytics especially in improving their products, making business decisions faster and reducing costs. Here are some ways small businesses can benefit from big data.
• Cost savings
The upfront cost of implementing large data tools and strategies is high undoably, but the long term benefits of doing so are matchless. The healthcare industry is a great example of how the use of large data can help businesses reduce their costs regardless of their size. Using predictive analytics, Medicare and Medicaid Services forestalled more than $ 210 million fraud in healthcare with just 2 years of utilizing the aforementioned technology.
In addition to preventing frauds, small businesses can also reduce their costs by steering clear of creating more inventory than needed, including better partners in the supply chain, etc.
• Improved Decision Making
This is the largest benefit of large data. It allows businesses to expedite decision making by processing the data fast and giving insights in a timely manner. In the past, business decisions were reserved for future strategies in the light of available data and the trends that were observed in it. The amount of data that businesses are sitting on today is huge and so more powerful insights are to be gained from it.
This vast amount of data requires the use of modern big data hardware technologies. Once both the things are in place for a business, they can understand customers better, create products that are a closer reflection of what customers want and develop a brand based on most reverted values.
• Impenetrable Security
Businesses are more focused today on using large data to improve their core capabilities, but less attended to a more serious concerns ie cyber threats and security breaches. Almost every small, medium and large business is connected to the internet today. Moreover, the Internet of Things has broadened the attackable security surface for businesses making it easier for cyber criminals to attack networks and penetrate company databases.
The biggest concern for modern businesses is that they have to "respond" to cyber attacks that have already occurred rather than being able to prevent them from occurring. The use of big data and large data analytic tools can be a game changer in this area allowing businesses to prevent any security attacks way before they are executed.
Key Technologies Helping Businesses Make the Best of Big Data
As a small business, you will have to familiarize with various technologies that help you store, analyze and take action on big data. Here are some important ones:
• Hadoop
It's a framework supporting the rising of large amounts of data using an open-source approach. Once data is stored, Hadoop enables the use of a variety of applications using "clustered hardware" at its base. Due to the cluster of commodity hardware, it becomes possible and easy for businesses to process big data since its increasing volume.
• Data Mining
This is the technology that enables business owners to capture insights, patterns and trends from big data that other can not be obtained with a traditional approach. Data mining is what allows you to jump in a large sea of structured and unstructured data, make sense of it all and produce analytical insights that help businesses with real-time and future decisions.
• Predictive Analytics
Predictive analytics walk side by side with data mining. Artificial is at the heart of predictive analytics, enabling business owners to adjust their present strategies by giving predictions about what will transpire for the business based on existing data.
• Text Analysis and Mining
One huge concern for modern business is to analyze the noise on various web platforms such as forums, blogs, social networks, etc. to understand what customers expect from a particular brand. Finding out about brand mentions and understanding customer's impression of your brand can help you readjust your marketing approach to gain customer loyalty. Text mining helps small to large sized businesses go through text data from emails, blog posts, social networks, etc. and hear customers "voice".
With the rise of smartphones, artificial intelligence and IoT (internet of things) it has become clearly visible that businesses will now have to handle mountains and mountains of data, and make use of big data analytical and processing technologies to have the competitive edge.