24 November 2015 blogs 3 min read
Historically, the structure of a company’s data records closely matched the structure of the company itself; departments recorded information that they were specifically interested in, and cross-checked information to obtain conclusions that concerned the company in its entirety was being done at a higher level. This was done largely because analysis had to be done by people – computers simply weren’t powerful enough yet – so data had to be broken down. Furthermore, data had to be carefully filtered since there was only so much information that humans could handle; gathering data was as much a quest for relevance as it was a quest for volume.
As computers became powerful enough to handle large volumes of data, the trend was reversed, especially in IT operations, which were on the front-line of change. But it soon turned out that simply removing the cap on volume is not productive, either. The sheer amount of data and the lack of efficiency in presenting effectively locked down the data in the information vaults. If allowed to endlessly deepen its effects, this trend can turn an IT department in a veritable jail for information – a “data silo” – and make IT operations a pool of liability.
The effort of sifting through data quickly drowns its relevance; however, if – instead of being hoarded and periodically dumped – operational information is transparently gathered, carefully analyzed and properly presented, it can become a remarkable asset.
Companies are beginning to recognize this at an increasing pace. A Gartner report predicts that, by 2017, 15 percent of enterprises will integrate IT operations analytics technologies in their intelligence operations, both for business execution and IT operations. But intelligent analytics is only possible if data is consolidated.
This requires that existing silos of data be broken and combined into a single data warehouse, so that the complex web of interactions between business services is exposed to analysis units. This is generally done through a combination of two approaches.
The first approach focuses on centralized collection, correlation and analysis of data from a variety of data sources. Instead of leaving data to rot in individual silos, modern ITOA focuses on collecting it and making it immediately available for analysis.
The second approach focuses on shifting the focus of presentation from raw data to patterns, and the focus of analysis from the current status to trends, changes, and predictions. This leaves the tedious task of analyzing numbers to the machines, allowing managers to focus on improving and implementing policy, based on the result of this analysis.
Modern intelligent analytics lays at the convergence of these two approaches; it significantly streamlines the decision processes and can dramatically shift their character from entrenched reactiveness to a more proactive approach.
At Savision, we understand that the key to becoming customer-centric and moving away from data stuck in silos is to find the common ground between your company’s information technology and business needs. This is only possible if your company’s IT department has complete visibility of the impact of disruptions and changes on business services, which has become even harder to achieve in today’s more complex and fluid IT environments. We can help you to break down data silos and foster a better relationship between IT and business, as with Live Maps – our Business Service Management solution – we enable you to spot issues instantly and discover the root-cause behind service disruptions. This allows your IT department to diagnose and proactively fix problems before they impact the end-user experience.