Big Data & Digital Marketing
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Big Data & Digital Marketing
Data analytics as the key to know your customers and offer them what they really want.
Curated by Luca Naso
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5 Signs It’s Time to Outsource Your Data Management

5 Signs It’s Time to Outsource Your Data Management | Big Data & Digital Marketing | Scoop.it

If your company is struggling with big data because it is taking up too much time and resources, consider hiring the services of a data center outsourcing firm.

Luca Naso's insight:

 

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

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Hendrik Feddersen's curator insight, May 26, 2015 4:50 PM

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.

Biel's curator insight, May 27, 2015 11:54 AM

Com Big Data canviarà la comercialització empresarial

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Six Predictions About Big Data and Marketing in 2015

Six Predictions About Big Data and Marketing in 2015 | Big Data & Digital Marketing | Scoop.it

Harnessing the power of Big Data has moved from an innovation to a critical success factor.


How will it continue to grow in 2015?

Luca Naso's insight:

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

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Cloud computing is going to absorb your big data workloads, too

Cloud computing is going to absorb your big data workloads, too | Big Data & Digital Marketing | Scoop.it
There has been a spate of product announcements and integrations over the past few weeks signaling that many big data workloads — including, and especially, Hadoop — will soon be ready to run reliably in the cloud.
Luca Naso's insight:

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).

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Fastest-Growing Category of Cloud Computing: Business Intelligence and Analytics

Fastest-Growing Category of Cloud Computing: Business Intelligence and Analytics | Big Data & Digital Marketing | Scoop.it

Will the cloud push business intelligence and analytics to a whole new level? There’s reason to believe that even the most technology-averse organizations will have a way to compete on analytics, just as the big players do.

Luca Naso's insight:

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).

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Google Boosts Cloud Services To Tackle Big Data

Google Boosts Cloud Services To Tackle Big Data | Big Data & Digital Marketing | Scoop.it

 

At the Hadoop Summit in Brussels on Thursday (Apr 16th 2015), Google announced significant updates to two of its cloud services.


Via Peter Azzopardi
Luca Naso's insight:

I believe that the future of Data Analysis, Big Data and the like is in the cloud.

 

"Big data the cloud way means being more productive when building applications, with faster and better insights, without having to worry about the underlying infrastructure", said Google Product Manager William Vambenepe.

 

Google Data Flow is now in beta and publicly available to any software developer.

 

Google BigQuery got upgraded, now able to process 100k rows in a second.

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Peter Azzopardi's curator insight, April 18, 2015 6:07 AM

"Today, nothing stands between you and the satisfaction of seeing your processing logic, applied in your choice of streaming or batch mode, executed via a fully managed processing service. Just write a program, submit it, and Cloud Dataflow will do the rest," Vambenepe said.

Joe Boulis's curator insight, April 19, 2015 10:32 PM

Google made major announcements at the Hadoop Summit in Brussels; including significant updates to Google Cloud Dataflow and Google BigQuery. Facilitating the processing of large quantities of data.

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Wearable Tech: a $50bln market

Wearable Tech: a $50bln market | Big Data & Digital Marketing | Scoop.it

Credit Suisse estimates the entire wearable tech market to be worth $50bn by 2018.­­­­­

Luca Naso's insight:

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.

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4 Reasons to do Analytics on the Cloud

4 Reasons to do Analytics on the Cloud | Big Data & Digital Marketing | Scoop.it
What will tip people towards using more cloud analytics? Let’s start with the elephant in the room. Where do you keep your own worldly wealth? Do you keep your money at home under the mattress? No — because you know that banks are more secure, cheaper, and more convenient.
Luca Naso's insight:

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.

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