The speed and scope of online transactions and business decision-making is rapidly growing because of several emerging technology trends – Cloud, Social, Mobile, the Internet of Things (IoT), Analytics and Artificial Intelligence/Machine Learning (AI/ML). As the volume and variety of data continue to explode, many organizations are investing in Microsoft SQL Server to support faster and more secure online transactions and to extract deeper actionable insights.
However, rising operations costs, cumbersome manual processes and disparate data sources have become the Achilles heel in deploying and operating Microsoft SQL Server at many organizations. Downtime, security/compliance/governance and lack of skilled resources are also major issues. To meet these challenges, organizations must deploy a cost-effective, easy-to-use, high-performance, reliable and integrated IT solution to consistently deliver the best business outcomes.
The Lenovo Engineered Solution for Microsoft SQL Server is designed to address these challenges. It delivers the right mix of hardware infrastructure, software, and services to optimize a wide range of data warehouse and transactional database use cases. Pre-tested and tuned hardware configurations help reduce the total cost of ownership (TCO) and time to value through better price and performance, rapid deployment, and consolidated storage. With better regulatory compliance and governance, this solution also streamlines complex online transactions and accelerates data-driven decision making by empowering innovation and lowering security and downtime risks.
Compared to competitive alternatives, the Lenovo Engineered Solution for Microsoft SQL Server enables quicker deployments, faster time to value, lower risks of failure and higher revenues/profits. It also enhances the productivity of database administrators, architects, data scientists, data engineers, application developers and analysts; allowing clients to optimize their Total Value of Ownership (TVO), which is Total Benefits – Total Costs.