0% physical presence required. 100% growth opportunities enabled.
Digitalization and complex purchase patterns require from companies to become data-driven to respond adequately. To gather the information is a step in the right direction, but to be able to analyze it and build strategies based on the uncovered insights is the rest of the way.
Our Data Analytics Whitepaper is curated to answer the questions of Technology professionals at the forefront of data-related decisions on organizational level. Whether that is people in leading roles in small-to-medium-sized businesses, or heads of IT functions at large companies, the paper contains insights to the common challenges of managing data more efficiently.
There is no one way to develop a data analytics system as it should be designed and implemented to address your organization’s needs. And while no paradigm will fit all systems, we have uncovered the key points of every aspect of building a data analytics solution. You can read in detail about them and our best practices in applying them in the Data Analytics Whitepaper.
First, analyze the existing technology ecosystem to define where and how the new data analytics solution will fit in.
Next, evaluate the capability of your business to support processes like data integration, data migration, and data consistency.
Based on gathered knowledge, proceed with developing and integrating your analytics solution within your existing software ecosystem.
Last, but not least, performance maintenance of the new system will make sure any emerging slowdowns and warnings are addressed on time.
Founded in 2012 in Sofia, Bulgaria, Accedia has become one of the fastest-growing technology companies in EMEA, according to Deloitte and Financial Times. The company has a track record of successful projects with clients in Finance, Manufacturing, Technology, and Energy, located across 5 continents.
Today, application modernization is a high priority for many organizations that were not “born” digital. Discover 5 ways to move away from legacy systems.