Five big data mistakes every company should avoid
A study conducted by Infochimps in 2013 suggested that more than half of all projects related to big data were not completed, while others did not accomplish their objectives. As per the same study, four out of every five businesses in that particular survey had had big data as one of their key priorities. The margin of failure is extremely vital for those who wish to become either big data-enabled or full-fledged big data companies in the near future.
Here are a few of the most common errors that companies make when they try to integrate big data into their business processes. Preventing them can increase the likelihood of success for sure.
Key Mistakes that Big Data Companies and Big-Data-Enabled Businesses Should Avoid
No matter if a company is equipped with the appropriate set of tools, the task of managing colossal data could indeed prove to be exceptionally unnerving for many corporations. With its sheer complexity, mistakes are pretty much common when handling those massive quantities of data sets.
Here’s a curated list of some of the most typical big data pitfalls that every corporation should avoid at any cost.
Businesses Aren’t Completely Relocating Their Resources to the cloud
It’s imperative for businesses to either invest in private cloud infrastructure or relocate their data into a public one. With continuous strides in technology, cloud storage has now become surprisingly affordable. It’s now offering improved infrastructure and better security along with a dedicated team of experts experienced in cloud management.
Furthermore, clouds are known for their astounding versatility, allowing big data companies to easily scale-up to dozens, hundreds, or even thousands of servers as per requirement in no time and scale-down for routine jobs.
Relying on Data Warehousing for Resolving All their Issues
Data warehousing can prove to be useful for a myriad of technical challenges but is not potent for solving all kinds of big data issues. Warehouses aren’t ideal for video, text, and images, and their application should always be restricted to customer-centric structured information from a handful of data sources. However, a vast majority of big data companies happen to purchase classic data warehousing solutions and spend as much as in whopping seven figures on an annual basis.
Using Spark or Hadoop for Addressing Every Single Problem
An increasing number of big data consultants are relying on Spark or Hadoop these days. However, those technologies are not beneficial in data integration. The key is to opt for best-of-breed solutions in place of the lowest common denominators, such as Spark or Hadoop, and it’s especially true for advanced functions of any given business.
Treating Data Lakes as Cure-All
Contrary to what several big data consultants believe, dumping all the data into a centralized repository, such as a data lake, does not lead to data set correlation, and they’re often left with data swamps. Sets of data that are independently constructed can never be readily leveraged. Spellings might differ from one data set to another, and duplicate instances should be eliminated.
Also, things like time granularity, units, and semantics might not correlate. For instance, one data set might say salary, whilst the other choose to call wages, or one might use USD, the other one Euro. Businesses are expected to employ a data curation solution for addressing this particular problem.
NOT Investing in a Workflow Management Solution
Corporations invest a huge sum of money on big data and analytics for making business decisions. Though they completely ignore the significance of workflow management in the first place. However, a workflow management solution is indispensable for working with huge volumes of data, and big data companies should prioritize big data analytics as much as solutions that can leverage the results.
At Visvero, we’re driven by extreme innovation and our deep commitment to providing access to state-of-the-art technologies for all businesses. Call our team of experts now to know more about how to become a big-data-enabled business today and schedule a consultation to discuss your requirements.