The Changing Face Of The BI Industry
Triangle Information Management’s founder, Chris Lewis, investigates the changing face of the BI industry and the impact of growing quantities of data.
As we move forward into 2018 the BI Industry is facing major changes in the way our customers consume the information within the ever-growing sea of data. Companies are now challenged with loading large volumes of their data into cloud databases, which raise concerns over security, data transfer capabilities. Customers are looking for savings by removing their own on-premise capabilities and relying on huge cloud data centres to provide the service that was traditionally hosted onsite.
With these changes, the BI industry faces the challenge of transferring huge volumes of data to the cloud for analysis. The traditional Extract Transform and Load (ETL) tools need to adapt or be replaced by new tools designed for the cloud, that extract, load and transform. The transformation is delayed until the data is loaded in the cloud to make use of the cloud infrastructure. New challenges face us when dealing with cloud to cloud data transfer as customers strive to consolidate data from various cloud applications into a single data store for analytics. Many cloud applications don’t expose their underlying database preferring to provide access via API’s, which again makes traditional ETL work a challenge.
How Is Triangle Adapting to These Changes?
Triangle’s traditional business has been about extracting data from customers’ line of business systems and building data warehouses, data marts and ultimately visualising the data in order that our customers can make more informed decisions. However, as we move forward into 2018 and beyond we need to address new data sources which are now available with the growth of the Internet of Things (IoT). This, in turn, is leading to an exponential growth in data available for analysis. Myriads of sensors are being added to an ever-increasing number of products from which data is collected and from which business decisions can be made. All this data must be processed, aggregated, stored and made available in the visualisation products, or fed to other systems that will go on to make automated decisions based on the data collected. We see IoT being a key part of what Triangle will be involved in over the next few years.
With this increase in data and the growth of cloud applications, Triangle will also be concentrating on strengthening its capabilities around cloud technologies, looking at how we can assist our customers on the path from on-premise to hybrid and then full cloud based solutions. To achieve this, Triangle is researching available technologies and formulating recommended paths for our clients in order to make their transition as seamless and streamlined as possible.
We have, for many years, been seen as the trusted advisor for our customers, and as we jointly move into a new era of cloud and IoT, Triangle will be positioning itself, once again, as that trusted guide to our clients.
Sign up and never miss a blog post from Triangle