Posted: February 13th, 2023

Discuss the approach to big data analytics with business intelligence, what they are doing right, what they are doing wrong, and how they can improve to be more successful in the implementation and maintenance of big data analytics with business intelligence. 

Big data analytics with business intelligence (BI) is a powerful combination of technologies used to analyze large datasets. Businesses can use BI and big data to gain insights into customer behavior, product performance, operations efficiency, and market trends. The combination of these two disciplines provides organizations with an invaluable tool for making informed decisions that have a direct impact on their bottom line.

One company that has made great strides in the implementation and maintenance of big data analytics with business intelligence is Microsoft Corporation. Microsoft’s approach to BI has been characterized by its strong commitment to developing advanced tools and services that enable companies to extract more value from their data assets. This includes services such as Power BI, which combines cloud-based self-service analytics capabilities with interactive dashboards; Azure Machine Learning Studio, which enables developers to quickly deploy predictive models; and Cortana Intelligence Suite, which provides customers with a platform for building sophisticated machine learning applications using existing Azure resources.

One of the things Microsoft does right is its commitment to continued development in the space of big data analytics and BI. It invests heavily in research and development (R&D) in order to stay ahead of the curve when it comes to offering customers state-of-the-art solutions for leveraging their data assets. Additionally, its offerings are designed not just for technical users but also for nontechnical stakeholders who may need easy access or understanding of the available insights generated by these complex systems so they can act upon them accordingly.

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Discuss the approach to big data analytics with business intelligence, what they are doing right, what they are doing wrong, and how they can improve to be more successful in the implementation and maintenance of big data analytics with business intelligence.

Microsoft could improve upon what it’s doing wrong by focusing more on client support after products have been deployed or implemented within an organization’s environment – including helping clients understand how best utilize their newfound power over big data sources or providing further guidance on choosing appropriate strategies related to business decision making based on those same sources – rather than simply offering one time “consulting” type engagements before deployment is complete. Additionally, it could focus more effort on increasing education around relevant topics like GDPR compliance requirements or other regulations associated with usage/storage/handling/etcetera so potential customers are better prepared when evaluating whether or not they should invest in particular technology solutions offered by Microsoft as part of this portfolio set up process itself so they can anticipate potential issues beforehand instead only dealing with them once something unexpected happens down the line due lack properly vetting products before buying into them blindly without knowing all factors involved upfront first hand beforehand.

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Overall Microsoft’s approach towards implementing Big Data Analytics & Business Intelligence Solutions looks promising & given their continuous investments within this space we probably won’t see any major derailments anytime soon if at all since there’s already plenty experience being utilized here both internally or externally through various 3rd party partnerships already established throughout years gone past leading up till now today still even going forward will likely to continue being strong even in the future days.

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