Big Data & Digital Marketing

Nowadays, companies in virtually any field have the capability to gather, store and take advantage of massive amounts of information.But not all of them have the capability to manage the data in the proper way.
Here are 5 signs that it could be time to outsource your data management:1. Overpriced in-house management costs.2. Lack of in-house Big Data management experts.3. Constant need to re-deploy employees to do other tasks.4. Inability to comply with regulatory requirements.5. Failure to respond quickly to technological changes.
Avoid creating strong dependency on the third party expert and keep in mind these three things that can massively help you:1. Have a clear plan on how you want to use the data2. Embrace cloud technologies3. Develop in-house skills

Here are 6 possible trends in Big Data in 2015. I mainly the following 3:

1. Big Data will go mainstream -

so much that we might start dropping the term "Big" and just talk about "Data"

2. Everything with go on the cloud -

this will simplify the usage, cloud is simple, cheap and, above all, flexible

3. Analyses will become faster -

thanks to improvements in big data tools and technologies

I cannot think of any other place for Big Data but the cloud!

Amazon and Microsoft are clear leaders at the moment, but there is a lot of movements and Oracle might well catch up.

My Hadoop clusters have always been running on the cloud and will always be (I am currently using HDInsight on Azure).

Not only do cloud-based BI solutions have advantages over on-premises BI for the usual reasons (rapid deployment, low upfront cost; quick and cheap scalability for processing, storage, operations and accessibility), but there are advantages specific to BI applications (for example instant propagation of updates and changes, and better data sharing with business partners and the supply chain).

Wearable tech is the integration of digital tools in lifestyles to improve health, they carry not just data mining capability but also power lifestyles.

Big data analytics, data science, and wearable computing is predicted to help better analyze patient data collected objectively with potential life-changing implications for drug development, diagnosis, and treatment.

Cloud plays an integral role here: storing, computing and eventually beaming the relevant information from the smallest of devices. In fact, cloud can also aid in analysis of this data.

1. Cloud Offers Better Security
2. Cloud Offers More Convenience
3. The Data is Increasingly Already in The Cloud
4. Cloud Platforms Are More Flexible

Last, but not least, you should use BOTH Integrated On-premise AND Cloud solutions.