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In this article, we are going to mention few big data trends for which we believe are important.

We've noticed the rise of easy access to cheap analytic tools lately, just like probably you did as well. This gives us a questions we should think about: Will this require from you to rethink your business model? The progress of technology will enable you to redesign how, where and how often you capture customer data. That's reality. We all have a choice in this and we are not the victim of what data others tell us is available.

The customers in today’s world are on the move and they’re using mobile application platforms to get there. Whether they use mobile phones, tablets, or other mobile devices they have all the information they need. That's why mobile apps are so much important in today’s market.

You need to understand that mobile apps allow customers to have all your information at their fingertips. Also, it is important that your app works on multiple mobile application platforms. But for beginning, start with one platform.

Marketing to women is a massive and growing industry. However, it doesn’t appear to have hit the world of mobile marketing in any really big way yet. But this will be changed soon.

It's a really big question why are app developers not marketing to women more.
As soon as marketers see the latest research from Apsalar, that’s certainly about to change.

The rate of change in the digital world is in constant acceleration. New social apps and networks are coming up overnight and it’s becoming increasingly difficult to tell recognize the next killer app.

When our social customers like us on Facebook, 60% of them expect to find peer-to-peer experiences and 46% expect incentives or rewards. Also, 40% of consumers say they want more from brands in social media. It's really important to be aware of this. Consumers just expect brands to be there engaging them in specific ways.

Source: http://blog.kissmetrics.com

With the mass adoption of smartphones and tablets, the world is slowly coming to a new stage, for a new move. World is going away from fixed-point, card-based transactions and going toward those completed on mobile. The old dream of the "digital wallet" is coming true.

We all know that social networks like Facebook, Twitter and LinkedIn are daily destinations for millions of people.

Great thing about marketing on those networks is that their ad products offer targeting according to specific demographics, social connections, interests, and habits.

As brands look across a fractured media landscape, where few digital properties offer any scale, social networks offer them an interesting proposition.

Source: Kissmetrics

The term big data is becoming more and more popular and spread everywhere around us. The usage of these two words in any context draws attention from executives to data scientists and business users in organizations of any size.

While there are many definitions for big data, we offer you a simple definition: Big data can be defined as data that cannot be processed using traditional data processing techniques due to its characteristics and complexity.

The explosive growth of mobile commerce has left many brands and retailers wondering how they can take advantage of this market.

This is really important question to think about.

In 2010, mobile commerce took part with only 3% of e-commerce. But, by the end of last year's holiday shopping season, that number had risen to 11%.

Wikipedia defines big data as “a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications. The challenges include capture, storage, search, sharing, analysis and visualization.”

Infographic source: Kissmetrics.com

Infographic source: Kissmetrics.com

Companies have spent many years building enterprise data warehouses and using business intelligence (BI) tools to report on the business. But predictive analytics is different. Advanced statistical, data mining, and machine learning algorithms dig deeper to find patterns that traditional BI tools may not reveal.

It's a fact that mobile users today carry mobile devices everywhere they go. They are already using their phones to redeem coupons, research products, or pay for things online and offline. This became something completely normal.

With mobile, it's now feasible to track an individual from the very first intention to shop for an item, to the actual purchase at point-of-sale. This is something very important.

Cloud computing provided to companies a new way to improve the effectiveness of business processes and the outcomes of their efforts.

In the last five years more and more companies have embraced the practice of renting access to the applications and technology they need when they need them. No matter is it about marketing, customer service, human resources, sales or finance.

Mobile business intelligence (BI) represents the ability to access business-critical information on any mobile device, such as a smartphone or tablet. Due to massive improvements to mobile technology in the past few years, the idea of mobile BI just recently became interesting.

Smart companies are trying to pursue every available opportunity to maximize
their performance and minimize costs. That's why, business intelligence tools are used to analyze data, identify trends, and support business decisions, etc.

When you need to select a business intelligence product, it’s important to consider lots of factors.
At first place, specific product features like ease of use, ease of implementation and administration,
scalability, user-interface options, and how well it integrates into your company’s
existing and future platform environment.

Among the most important of these considerations are:

Business intelligence allows organizations to better understand, analyze, and even predict what’s occurring in the overall environment and in their company. BI helps your organization turn data into useful and meaningful information which you can distribute to those who need it, when they need it, wherever they need it, so that they can make timely and better informed decisions.

It allows organizations to combine data from a wide variety of sources and see an integrated, up-to-date, 360-degree view.