Posts

The Role of Robotic Process Automation in Big Data Analytics

Without a doubt, we are living in an age when information is always available at our fingertips. Sometimes it seems as though we are practically drowning in the data that’s available to us. In fact, according to IBM, there are some 2.5 quintillion bytes of data created every single day, and an estimated 90% of all the data in the world today was created in the last two years alone. And while much of this “Big Data” may seem irrelevant to you, organizations around the world are taking it very seriously. So much so that many are now employing the use of robotic process automation to help harness, analyze and leverage it.

The Role of Robotic Process Automation in Big Data AnalyticsWhat’s the connection? Well, for starters, using robots to automate business processes can simultaneously result in the retrieval of all kinds of information about how those particular processes are carried out. In this sense, robotic process automation is much more informative than even the best human analyst could ever be. In addition to extracting data, robots can also record everything and pull it together to become much more useful to key decision makers, helping to discover bottlenecks and other problems and identify opportunities where processes could be better optimized.

Data analytics can transform an astronomical amount of information into patterns that are logical and easy to understand. In fact, it’s pretty commonplace for advanced analytics to be built right into many of the software products that are on the market today (Google Analytics, anyone?). Robotic process automation solutions are similar in that they are capable of gathering data and reporting analytics for any given time duration.

You can use RPA to gain insight into any of the following (just as a few examples):

  • Total number of completed transactions
  • Average time each transaction (or workflow) takes
  • Number of business and/or application exceptions generated
  • Estimated time until task/process/workflow completion

Ultimately for Big Data to be useful, it must be properly vetted, thoroughly analyzed and appropriately organized into something that makes sense to someone who doesn’t necessarily have a background in advanced analytics. Delivering this valuable end result is another key benefit that robotic process automation has to offer. So now, not only can robotic process automation help create a more efficient, productive work environment, but it can also help identify problems and opportunities for improvement.

Could your business benefit from using robotic process automation, for Big Data or any of the countless other advantages it affords? Why not find out today for free? Download your own copy of Ayehu automation platform and start experiencing for yourself how powerful the right RPA solution can truly be.





eBook: 10 time consuming tasks you should automate




IT Process Automation and Big Data – The Perfect Combination

IT Process Automation and Big Data - The Perfect CombinationOver the past couple of years there has been a lot of hype around ‘Big Data’, yet many IT professionals are not familiar with exactly what this term means, and particularly what it means for them. Let’s take a moment to examine just what Big Data is, and furthermore, how automation can drive Big Data to achieve successful results. In other words, how can you combine the value of IT process automation (actions/responses) with Big Data (insights/results) to really benefit your organization?

What is Big Data?

Wikipedia defines Big Data as “a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools.” In simplest of terms, Big Data is an all-encompassing term that is used to describe the growth, availability and use of information. The challenge lies in how businesses can capture, store, share, visualize and analyze this information in a way that is both efficient and effective.

In 2012, the IT research and advisory firm Gartner updated its definition of Big Data as “high-volume, high-velocity, and/or high-variety information assets that require new forms of processing to enable enhanced decision making, insight discovery and process optimization.” Since then, the concept has been further explored and much more widely embraced to the advantage of organizations across the globe.

What Does Big Data Mean for Infrastructure Professionals?

To date, Big Data has had an increasingly important role, particularly for infrastructure professionals. First and foremost, there has been a steady increase in the amount of data being accessed, analyzed and worked with. Additionally infrastructure professionals now need to:

  • Acquire more skills in things like programming, data science, math and statistics
  • Develop new real-time techniques for accessing, securing, moving, analyzing, processing, enhancing and visualizing data
  • Change thinking from the concept of “data to function” to moving “function to data”
  • Use or develop specialized capabilities for different types of processing
  • Develop orders of cost-effective infrastructure which places an emphasis on data movement, bandwidth and metadata management, which will become increasingly important.

With Big Data, the cloud is fast becoming the primary platform for computation and storage, and data will be driven by social networks and mobile devices. Infrastructure professionals also have the opportunity to create new data products and to separate data from applications. The bottom line is, Big Data is effecting big changes to our business, social and personal lives.

How does IT process automation fit into the picture?

It’s becoming increasingly evident that traditional data management methods will simply not be adequate to handle all of the changes that Big Data has in store. So, what’s the solution? IT process automation will provide the answer by allowing for cost-effective data management and protection. For instance, structured and unstructured data protection activities, such as the collection of sensitive metadata, determining who owns that data and who should and shouldn’t have access to it will provide the opportunity for automating authority and permissions management. This will allow IT managers to control data ownership, access, classification, authorization processes and entitlements, making Big Data much more manageable.

There’s no doubt about it – the shift to Big Data is occurring in full force, and IT professionals must continue to take heed and prepare. By embracing IT process automation, you can be proactive and ready to manage whatever volume of data comes your way. Most importantly, you’ll be able to do so in a way that is cost-effective and an efficient use of resources.

Are you ready for Big Data? Download our free whitepaper: IT Process Automation Survival Guide and get in the know about IT process automation and how you can leverage it to position your organization for future success.

Big Data and IT Automation – A Match Made in Heaven

Big Data and IT Automation – A Match Made in HeavenOver the past several months there has been a lot of hype around ‘Big Data’, yet many IT professionals are not familiar with exactly what this term means, and particularly what it means for them. Let’s take a moment to examine just what Big Data is, and furthermore, how automation can drive Big Data to achieve successful results. In other words, how can you combine the value of IT Automation (actions/responses) with Big Data (insights/results) to really benefit your organization?

What is Big Data?

Wikipedia defines Big Data as “a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools.” In simplest of terms, Big Data is an all-encompassing term that is used to describe the growth, availability and use of information. The challenge lies in how businesses can capture, store, share, visualize and analyze this information in a way that is both efficient and effective.

In 2012, the IT research and advisory firm Gartner updated its definition of Big Data as “high-volume, high-velocity, and/or high-variety information assets that require new forms of processing to enable enhanced decision making, insight discovery and process optimization.”

What Does Big Data Mean for Infrastructure Professionals?

By all predictions, Big Data will play an increasingly important role for infrastructure professionals. First and foremost, there will be a steady increase in the amount of data you’ll be working with, and it will be kept longer and be more valuable than that which is currently being archived. Additionally infrastructure professionals will need to:

  • Acquire more skills in things like programming, data science, math and statistics
  • Develop new real-time techniques for accessing, securing, moving, analyzing, processing, enhancing and visualizing data
  • Change thinking from the concept of “data to function” to moving “function to data”
  • Use or develop specialized capabilities for different types of processing
  • Develop orders of cost-effective infrastructure which places an emphasis on data movement, bandwidth and metadata management, which will become increasingly important.

With Big Data, the cloud will become the primary platform for computation and storage, and data will be driven by social networks and mobile devices. Infrastructure professionals will also have the opportunity to create new data products and to separate data from applications. The bottom line is, Big Data is going to bring big changes to business, social and personal life.

How does IT automation fit into the picture?

It’s becoming increasingly evident that traditional data management methods will simply not be adequate to handle all of the changes that Big Data has in store. So, what’s the solution? IT Automation will provide the answer by allowing for cost-effective data management and protection. For instance, structured and unstructured data protection activities, such as the collection of sensitive metadata, determining who owns that data and who should and shouldn’t have access to it will provide the opportunity for automating authority and taking actions (response to security events, audit failures and more). This will allow IT managers to control over the entire data management, access, classification, authorization processes and entitlements, making Big Data much more manageable.

There’s no doubt about it – the shift to Big Data is happening, and IT professionals must take heed and prepare. By embracing automation, you can be proactive and ready to manage whatever volume of data comes your way. Most importantly, you’ll be able to do so in a way that is cost-effective and an efficient use of resources.

Are you ready for Big Data?

IT Process Automation Survival Guide