How MSPs Can Leverage Big Data Analytics

It may come as a surprise to many businesses that already use cloud-based file sharing services, but only about 18 percent of small businesses and about 57 percent of medium businesses are currently using big data analytics solutions.

October 3, 2014

2 Min Read
How MSPs Can Leverage Big Data Analytics

By Michael Brown 1

It may come as a surprise to many businesses that already use cloud-based file sharing services, but only about 18 percent of small businesses and about 57 percent of medium businesses are currently using big data analytics solutions. But as trillions of gigabytes of data continue to be generated over billions of devices and networks, big data business intelligence is expected to see widespread adoption because traditional solutions are not meeting new demands.

Many enterprises are outsourcing their IT data and performance management solutions to MSPs because they have the technical skill leverage these analytics and the knowledge empower their clients to use big data tools to their full advantage.

Decision Making

For critical business decisions that extend beyond daily operations, big data tools allow you to experiment with the data for deep insights into the consequences of your business decisions.

Through real-time statistics, machine learning, data mining and historical facts, predictive analysis has never been so sophisticated.

Former Microsoft COO Bob Herbold says, “The potential that exists today to enhance operations and outcomes is nearly limitless. Those who understand how data works and what it can yield will carry enormous advantage in the new economy.”

Data visualization tools help clients speed up the decision making process while minimizing risk because it takes all structured and unstructured data, analyzes it in real time, and quickly teaches businesses how to respond to changing demands.

MSPs can help maximize the use of such tools by building algorithms and tailoring solutions to provide faster searches personalized for your organization.

Risk analysis

MSPs are often outsourced to offer supplemental security and backup services, and can help clients mitigate risk because they are in cloud environments themselves that support vast amounts of data.

When mapping the entire data landscape through big data tools, MSPs can help customize how you flag any situation.

MSPs use monitoring platforms that add value to their clients through the use of real-time response, alarms, and alerts. It’s like having a second-set of eyes on your sensitive information.

Compliance is also made much easier through the use of continuous regulatory reporting. People currently using big data tools report about once a month, where analysts do real work on data that is prioritized, indexed and simplified for them.  

The standard is expected to increase about once a day, enhancing the ability to ensure that companies are meeting compliance standards, foreseeing threats, capitalizing on opportunities that might have been otherwise unforeseen.

There are many benefits to having such powerful reports on data generated with speed and simplicity. How might big data tools help more with decision-making and risk-analysis? Leave a comment in the section below.

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