Big Data Analytics in 2015

Big data is massive and messy, and is increasing day by day. It has gained lot of pace during recent years. Organizations are now making use of sophisticated analytical tools and techniques in order to get insights out of Big Data to solve Business Problems. This blog illustrates the trends of Big Data Analytics in 2015.

With the high velocity of Big Data expansion, organizations are now emphasizing in the domain of Big Data Analytics.  

TRENDS TO WATCH IN 2015

Security Intelligence: Analytics become a critical app for integrated security threat monitoring.

Distributed “Edge” Analytics:  Expects increased interest in pushing analytics closer to the edge devices (e.g. mobile devices, sensors, intelligent routers and actuators)

Self-Service Tools: LOB executives and teams demand access to use simple analytic tools that provide visualization rich output. They want analytic tools to be integrated in enterprise apps.

Mobile Analytic Tools: The demand for mobile-enabled analytic tools that are intuitive, will continue to increase in 2015. Analytic tools of mobile will further drive demand for analytics, big data and visualization capabilities.

Predictive Analytics: In 2015, not just data scientists and specialists, but also LOB analysts to increasingly use predictive analytic algorithms and modeling techniques to help them understand potential future trends in the data.

Real-Time: In 2015, we will see huge demand of executives for real-time analytic capabilities, especially in the area of social analytics and Internet of Things.

Data Visualization: The market for visualization products will continue to grow as decision makers demand dashboards with easy to read graphs. For the convenience of end users, vendors should design easy to use self-service solutions.

Social Media Analytics: It is expected that Social media analytics will become an integral part of business.  All LOB execs will want to learn to analyze social conversations and influencer ecosystem networks in real time.

Customer Insights: CMOs and Sales executive demand insights from all the big data coming from social, mobile, search, web traffic and back-end processes, so that they can deliver individualized, personalized digital experiences across all channels.

Analytic Training: A shortage of skills is urging demand for analytics training. It is expected that new offerings targeted at MBA and college level can help to prepare future business leaders.

In 2015, advanced and self-service analytics tools will be in demand. Also, there are various other predictions which are discussed below:

• Unlike analytics offerings designed mainly for data scientists and analysts predominantly focused on visualization, IBM Watson Analytics reduced manual efforts on steps like data preparation, predictive analysis, and visual storytelling for business professionals across data intensive disciplines like marketing, sales, operations, finance and human resources. - IBM

• While basic analytics provide a general big picture of data, enhanced analytics deliver deeper data knowledge and granular data analysis. - Gartner

• Advanced analytics is a top business priority, ignited by the need to make advanced analysis accessible to more users and widen the insight into the business. Advanced analytics is the fastest-growing component of the business intelligence (BI) and analytics software market and transcended $1 billion in 2013. - Gartner

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How can Business Analytics Helps to Increase Sales?

In this blog, I am going to discuss how business analytics is helping organizations and E-commerce in increasing their sales and reducing cost, i.e. how analyzing the data is helping them to take better decision to increase their revenue. 

• With the growing pace of Big Data from different sources such organizations, E-commerce, hospitality, etc., there seems a great need of different analytical tools to make sense out of Big Data.  

• Companies are already turning that Big Data promise into reality. Those who use Big Data and Business Analytics effectively show efficiency rates that are 5 – 6 percent higher than those of their peers.

Business Analytics takes Advantage of Patrons Data to Optimize Company Functioning

• Data accumulated on different online channels provide fundamental information on how to develop a company’s operational productivity in many peculiar areas.

• Business Analytics aids you to exploit your data to amend the processes that you have in place.

Various instances of how Business Analytics Contributes to Developing a company’s Operational Processes:

1. Stock Management for E-commerce Sites

• Stock of products which are not sold, costs to a company, and if a product is stock-less, consumers will go to adversary to consume the product that they want, and as a result your company will lose sales.  
• Hence, Stock management is crucial to help a company which sells products online and Business Analysis can help companies to improve their stock management. 
•  Spectator’s data on product report pages, and inspections made on internal search engines give an idea about the level of demand for a product. This information will then let supply managers foresee the demand for a product as high or low and to decide on whether stock of a particular product should be held or not. 
• Stocks are therefore managed according to the interest shown in the different products by Internet users who visit your site. 
•  Audience data quotations for product fact sheets also allow companies to predict stocks as the levels of demand change over time, reducing the risk of running out of stock or of having too much unsold stock.

Business Analytics can highlight several different methods which can be used to promote Additional sales

•   Analyzing the content of the sales can disclose recurrent product associations.

•  Product presentations can associate products which are available online and in-store; sales advisors can then be informed of these trends which the company must accomplish to increase the mean shopping basket value of their customers.

• Business Analytics also extracts information from online sales, assisting stores make the right decisions so that the articles are in the right position at the right time.

The Behavior Analysis on the various channels used by a company, made possible by Business Analytics, can disclose new consumer trends or use of products.

So, these are various instances where business analytics played an important role in making better decision by analyzing the trends and customer behavior in order to increase the sales of the company. 

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