Moving onto performance improvements; with on premise systems latency issues may arise due to geographical distances between different data centers. However this problem does not occur with cloud computing since all data is hosted centrally by one provider over powerful networks giving customers direct access wherever they are located regardless of time constraints or other factors that could potentially slow down response times (Skrzypek et al., 2018). In addition PaaS allows developers easy access to tools like monitoring dashboard so they can track application performance while making changes during development while having full visibility into system health allowing them take action quickly if any issues arise(Hao et al., 2019).

When it comes to security many customers worry about entrusting sensitive information in a third party but cloud providers strive hard towards providing advanced encryption algorithms along with physical safeguards against illegal activity meaning users will experience more secure environment compared traditional hosting solutions where businesses were left responsible for managing their own security protocols at an ever increasing expense due lack of cost effective solutions available at lower latencies(Fuks et al., 2017).Moreover many service providers offer various layers authentication options based on end user requirements including biometrics authentication which add extra layer protection beyond levels offered by password based protection measures especially when dealing with highly confidential information(Tungare & Dutta 2015 ). Additionally most major service providers offer multiple levels of redundancy across various regions so even if there is malfunction experienced within particular region backups are still accessible from other locations ensuring minimal disruption possible . Lastly Cloud Provider Agreements (CPA) provide companies a detailed description regarding liabilities each party holds should any breach occur , thus leaving the company legally liable if they neglect following standard procedures set forth within agreement (Jabeen & Sultana 2017).

Similarly moving away from heavy manual processes associated setting up server infrastructure results in considerable cost savings compared setting up own dedicated servers which usually require sizable investments right off bat as well expenditure maintaining said servers regularly overtime . Additionally requisitioning software licenses also requires high upfront costs plus ongoing payments each month however through public clouds platforms users no longer dependent on purchasing licenses outright instead now they simply subscribe same licenses temporarily until needed without paying hefty fees associated owning them permanently .Finally pool shared infrastructures help reduce energy consumption drastically resulting higher efficiency rates along lowered carbon emissions helping both businesses bottom line as well alleviating environmental concerns simultaneously(Khalid et al., 2018 ).

Moving forward The process integration db analytical solutions made much simpler through combining benefits both On Cloud Infrastructure use Big Data analytics techniques such Hadoop Apache Spark MS Azure machine learning offerings bypassing complex setup processes related integrating new datastores via APIs etc resulting significant increase productivity output amongst employees responsible performing analysis tasks due decreased time taken completing said tasks while taking advantage inherently low latency nature systems provided services providers delivering instant insights into customer behaviour trends forecasting future events etc leading further rise operational excellence overall .

To conclude migration process OnCloud provides multiple advantages including improved scalability , better performance , enhanced security and compliance features , cost reductions resulting energy efficiencies plus simplified integrative capabilities all leading higher level operational excellence achieved throughout organization whole .