Managing big data has never been easier, and as a business owner or social media marketer, you’re likely to experience two challenges. The first challenge is how to collect an enormous volume of data, and the second one is how to analyze the collected data­­ so that it can make some sense to you and enable productive use of it. A messaging system is what you need to overcome these challenges.

How big data is changing social media

Social media alone produces continuous streams of data. Mass amounts of it flow in from Twitter, Facebook, Whatsapp, Pinterest and other social sites like never before. According to CMS WiRE, 90 percent of the data in the world today was generated within the previous two years alone, and 80 percent of that data was from unstructured sources like social media. This unstructured data comes in form of shares, chats, retweets, status updates, likes, downloads, and views.

While social media has become a critical component of success for any business, converting this data into useful information that can help them to acquire further leads, conversations, sales, and finally profits, has been a great challenge to many organizations.

 Redefining social media marketing strategies

The fact that social media and “Big Data” are inseparable means that there has to be a new marketing strategy that helps businesses and individuals gain insights from the incessant big data received from social sites. This is where social media data analysis comes in.

 Social media has become an extremely powerful tool in influencing and changing the behavior of people. For example, measuring engagement on Facebook gave a better prediction of who was going to win the US election than the polls did.

With many consumers being interested in all or some parts of social media streams, every bit of information has to be accepted quickly and reliably and has to be distributed and analyzed. Businesses have discovered the power of using a data catalog as well as analyzing and processing data and events from social media in real time when it comes to converting many prospects into real customers. One of the systems that businesses are using for social media messaging is Apache Kafka, which ensures that big data is ingested and made available to consumers in real-time.

With social media analysis, enterprises can filter big data to reports that are relevant to their business or organization goals.

Businesses benefit from the impact of big data on social media

Companies have found success by riding the wave of social media. Here are few ways through which businesses have benefited under the influence of enormous data collection and analysis:

Better employee engagement: Companies that advertise their job posting on social media normally get more engaged employees, meaning you will get devoted employees who are ready to help your consumers. They do so by posting their job adverts on social sites like LinkedIn and attract human resources through engaging Facebook posts. When a company finds the right employees, it translates to a more productive workforce. Big data comes in when HR wants to understand the productivity of the company’s workforce as well as helping employers make better hiring and management decisions.

Enhanced customer service: Most (if not all) corporations out there want to define their customers, know exactly what they want, and how to deliver it. Businesses can make consumers lives better by running adverts on Facebooks and retweets.

Customized algorithms: Competition in a free market helps to keep prices fair and persuades businesses to thrive. However, a stiff competition can lead to enterprises shutting down. With big data, you can get individualized algorithms for your business allowing you to be different from your competitors.

New predictions: If you want to remain competitive in the industry, you must be able to predict the market trends. This way you’ll be able to keep up with the needs of customers and the trending products at a particular time. Social media data helps businesses gauges the possible effectiveness of a strategy by looking at real data.

How competitive you’ll remain in business will depend on your ability to predict the market trends. Know where the wind is blowing toward and jump into it. The success of your company boils down to targeting the right consumers, and algorithms will help you do it.




Author Bio:  Jeremy is a tech and business writer from Simi Valley, CA. He’s worked for Adobe, Google, and himself. He lives for success stories, and hopes to be one someday.