Cloud Infrastructure for Data Analytics

By Saurabh Shakyawar, 3rd Eye Advisory Ltd
Cloud Infrastructure for Data Analytics

Businesses have long used data analytics to help direct their strategy to maximize profits. Ideally data analytics helps eliminate much of the guesswork involved in trying to understand clients, instead systemically tracking data patterns to best construct business tactics and operations to minimize uncertainty. Not only does analytics determine what might attract new customers, often analytics recognizes existing patterns in data to help better serve existing customers, which is typically more cost effective than establishing new business. In an ever-changing business world subject to countless variants, analytics gives companies the edge in recognizing changing climates so they can take initiate appropriate action to stay competitive. Alongside analytics, cloud computing is also helping make business more effective and the consolidation of both clouds and analytics could help businesses store, interpret, and process their big data to better meet their clients' needs.

The cornerstone of data analytics in cloud computing is cloud computing itself. Cloud computing is built around a series of hardware and software that can be remotely accessed through any web browser. Usually files and software is shared and worked on by multiple users and all data is remotely centralized instead of being stored on users' hard drives. Analytics in cloud computing, such as tracking social media engagement and statistics, is simply applying the principles of analytics to information housed on cloud drives rather than on individual servers or drives.

Aside from its increased accessibility and utility, big data analysis on cloud drives also exports many IT demands, such as hosting and maintaining servers, to cloud service providers. Companies can spend less money on servers and instead focus on bolstering their staff and product. Thus, cloud drives help smaller companies get into the big data game, allowing start-ups to better compete with larger organizations in their industry.

Determining the size of big data and the requirements of the data is essential in properly implementing large scale analytics.Likewise, determining the computer power of a cloud drive is of importance, as underestimating the demands placed on it could slow service and make the cloud less effective. If data being processed and accessed on cloud drives seems random and from vastly different fields, it could strain the magnetic disks in the cloud servers and cause them to not operate at their full potential when working with large data sets.

Our Information Technology experts at 3rd Eye Advisory® help our clients in understanding the needs and size of big data and how it will be processed is essential in reaping the benefits of data analytics on cloud drives in the following ways:

  1. Social Media:
    A popular use for cloud data analytics is compounding and interpreting social media activity. Before cloud drives became practical, it was difficult processing activity across various social media sites, especially if the data was stored on different servers. Cloud drives allow for the simultaneous examination of social media site data so results can be quickly quantified and time and attention allocated accordingly.
  2. Tracking Products:
    Long thought of as one of the kings of efficiency and forethought, it is no surprise Amazon.com uses data analytics on cloud drives to track products across their series warehouses and ship items anywhere as needed, regardless of items proximity to customers. Alongside Amazon's use of cloud drives and remote analysis, they are also a leader in big data analysis services thanks to their Redshift initiative. Redshift gives smaller organizations many of the same analysis tools and storage capabilities as Amazon and acts as an information warehouse, preventing smaller businesses from having to spend money on extensive hardware.
  3. Tracking Preference:
    Over the last decade or so, Netflix has received a lot of attention for its DVD deliver service and the collection of movies hosted on their website. One of the highlights of their website is its movie recommendations, which tracks the movies users watch and recommends others they might enjoy, providing a service to clients while supporting the use of their product. All user information is remotely stored on cloud drives so users' preferences do not change from computer to computer. Because Netflix retained all their users' preferences and tastes in movies and television, they were able to create a television show that statistically appealed to a large portion of their audience based on their demonstrated taste. Thus in 2013, Netflix's House of Cards became the most successful internet-television series ever, all thanks to their data analysis and information stored on clouds.
  4. Keeping Records:
    Cloud analytics allows for the simultaneous recording and processing of data regardless of proximity to local servers. Companies can track the sales of an item from all their branches or franchises across the United States and adjust their production and shipments as necessary. If a product does not sell well, they do not need to wait for inventory reports from area stores and can instead remotely manage inventories from data automatically uploaded to cloud drives. The data stored to clouds helps make business run more efficiently and gives companies a better understanding of their customers' behavior.

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Article by: Saurabh Shakyawar, 3rd Eye Advisory Ltd
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