Directory Image
This website uses cookies to improve user experience. By using our website you consent to all cookies in accordance with our Privacy Policy.

Integrated Data Warehousing and cyber security technology by naincyber

Author: Jack Brant
by Jack Brant
Posted: Jan 04, 2017

CIOs get always had to find ways to handle data. Collecting it, storing it, control it, and eventually archiving it. The arrival in the era of Big Data has almost overnight turned the fact that was already a challenging task into a almost impossible task. Everyone in the company understands the benefit of information technology and they all feel that the IT department can solve most data related problems. Now what is a CIO supposed to do to understand what all of this data is trying to tell the puppy?

The Seven Steps to Getting Value through your Integrated Data warehousing technology

All too often the person in the CIO job thinks there's some magical process to dealing using Big Data. They think that when they carry out the right project, what will fall out of your other side is a set of analytical results that is to be tailored for their business. Bad news - a real project does not exist.

Instead, what CIOs need to realize is that to archive their hands around Big Data, they need to carry out a series of 7 phases to gradually show their IT department how to cope with the flood of data that is coming to the doors of the IT office. Here are the 7 phases:

Amaze!: This is the phase where the IT department starts to comprehend exactly how much data will be coming their way. The implications of how they'll both deal with and process this data are only now getting to be realized.

Data Vault: In this cycle the IT department swings into activity. Processes and systems are set about take the data and find solutions to both store and secure it. Once that may be done, with no further processing the raw data is then distributed around the departments and groups who need it to get your house further processing on it.

Q&A: Within this phase, the Cyber Security Data Analytics for the 1st time is able to process some in the data and start to answer questions about what happened during the past. This process is generally very manual and revolves throughout the creation of custom reports based on requests that come into the IT department.

Intelligence: This phase is most easily identified by the arrival of so-called "executive dashboards". On the other hand, what distinguishes it is that the reporting is being automated and the presentation in the information is now being improved.

Predicting the longer term: In this phase the big data analytics in cyber defense starts to help the rest of the firm to predict and expect changes of their operating conditions. This is accomplished using statistical models and algorithms that are tuned on the data available and the environment that business operates.

Usage: In this cycle, the knowledge coming out of the IT department isn't longer just contained in a survey. Instead, the information is being put to use when it becomes available. The information is starting to be used in the company's day-to-day operations.

Transformation: Inside last phase, the analytical results from processing your data change the company from where it turned out into a more efficient company that relies upon its IT department to show it tips on how to better compete in its market and turn more successful.

For getting more information about analytics in the cloud visit the website

About the Author

Our aim is to provide best information to all of our visitors. We feel very happy to serve you so visit to my article..

Rate this Article
Leave a Comment
Author Thumbnail
I Agree:
Author: Jack Brant
Professional Member

Jack Brant

Member since: May 31, 2013
Published articles: 3045

Related Articles