Big data refers 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 e.g. bar code scanners, mobile cameras, CCTV cameras, motion sensors, smoke alarms, web analytical tools, CRMs, etc. From the examples, you can see that these devices collect a vast array of data types hence the structured and unstructured part in the definition. The sheer velocity at which the data is being produced cannot 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 big 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 i.e. real-time response to insights from available data.
According to an IDG study in 2016, 78% of the large enterprises agree that 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 IIA Director of Research, Tom Davenport, reveals that businesses are benefitting greatly from big 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 undoubtedly, 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 biggest benefit of large data. It allows businesses to expedite decision making by processing the data fast and giving insights in 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 thus 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 reverenced 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 i.e. 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 big data analytical tools can be a game changer in this area allowing businesses to prevent any security attacks way before they are executed.