Big Data strategy implementation from IT Svit
Modern technology provides multiple ways to increase business competitiveness. IaaS provided by all cloud service providers enables a level playing field for all competitors. Big Data solutions, on the other hand, can help any business to earn more and spend less. Some companies let their machine-generated data go down the drain out of fear to invest inefficiently into data analytics.
Other UK businesses seek ways to obtain the required Big Data expertise and build a Big Data strategy that enables real-time data warehousing and processing. Building a Big Data platform uniquely suited for your business allows analyzing both structured and unstructured data from a wide variety of sources and augment different product features in order to deliver more value to your customers.
IT Svit has ample experience with developing unique Big Data solutions for businesses in any industry. Here is what a common Big Data strategy looks like, in general:
- Your company decides if Big Data should be used to add new features to customer-facing applications, increase the efficiency of mission-critical cloud infrastructure or in both scenarios.
- Depending on the complexity and the timeframes of the project, your business must also decide if you want to go for recruiting an internal team, subscribing to cloud support or outsourcing the task to a Managed Services Provider like IT Svit.
- If you decided to work with an MSP, you should select a trustworthy partner based on ratings, reviews and feedback from previous customers, as well as the skills and technology stack available.
- Big Data implementation sometimes demands a complete redesign of the existing cloud infrastructure to enable it to work better and interact with Big Data tools seamlessly.
- When your cloud infrastructure is ready to support Big Data workloads, the MSP must work with your business stakeholders to design the architecture of the future Big Data solution and select the relevant Artificial Intelligence algorithm for the job.
- The Big Data scientists must train the Machine Learning model using the historical data sets from your systems.
- Once trained, the Big Data analytics solution must be deployed and managed in production to process your machine-generated data in real-time and ensure data-driven insights for your business decision-making.
As an example of a Big Data strategy that IT Svit team has successfully implemented, we have trained an Optical Character Recognition algorithm for one of our customers, enabling him to automate customer authentification and increasing the numbers of new subscriptions by 300% for their platform.
We have also successfully deployed multiple predictive analytics systems that enabled our UK customers to highlight normal operational parameters for their infrastructures and pinpoint any discrepancies in their operations. This helped many of them to reduce overspending on excessive instances, and some were able to defend from a DDoS attack without taking any damage.
If these results seem appealing to you — IT Svit is ready to help you design and implement a Big Data strategy uniquely customized for the needs of your business. Contact us right away!
