Despite the fact that modern big data solutions have only been around for a few years, they have already progressed to a level of maturity at which all companies, regardless of size, industry or IT background, can begin to invest and reap rewards from the assets. This is not to say that a strong knowledge of data science is no longer necessary to handle business intelligence solutions, but rather that outsourced options are available alongside more intuitive internal solutions.
To that end, it is worth noting that some of the earlier stages of analytics processes, including data preparation and cleansing, still need to be handled by professionals, and will help to ensure the highest possible returns on investment. One theme that has been consistent across all aspects of big data, though, is that firms are increasingly interested in service delivery models that can be used and understood by all parties, which is yet another addition to the growing consumerization of IT.
Self-service is king
Cloud computing has had a profound impact on businesses, even outside of the direct investments being made in these solutions, as it essentially paved the way for more ubiquitous as-a-Service options. This at once relieves companies of the strains that would otherwise occur when the entirety of backend systems and technology management needed to be handled in-house. It did not take very long for this concept to reach analytics.
TechTarget recently reported that self-service analytics tools are becoming a common demand of organizations, and especially for the various employees outside of the IT department who need these solutions to improve performances. According to the news provider, there are several challenges involved in making this a reality, including the comprehension of user demands, managing activity and ensuring that investments are actually yielding financial progress.
This begins with the preparation of data.
Fueling the pipeline
To ensure that analytics programs are functioning properly, firms must first work to streamline the early processes related to data preparation. Whereas these types of procedures would have demanded a high level of internal expertise in the past, solutions are now available that make self-service data preparation a reality, allowing companies to continuously feed the pipeline of analytics without as much strain or complexity.
By using these types of services, businesses can continue to progress with their big data investments.