With operating divisions and management demanding more and broader analytics to truly understand the state of the business, IT teams must provide the infrastructure that can support these much larger workloads. But IT must do so quickly\u2014in weeks, not months or more. That means there\u2019s no time for legacy self-integration\u2014IT\u2019s age-old bias for DIY\u2014to support infrastructure deployment; it just doesn\u2019t match the speed that the business demands in today\u2019s highly competitive environment.\nPreviously, there were good reasons for IT teams to manage the acquisition, installation, integration, testing, and rollout of an analytics platform consisting of software, compute, storage, and other components. But that time has passed. Depending on skills, staff availability, and other issues, this process can take one to three months or more, and only then can the work on the analytics activities start. That\u2019s a timeframe today\u2019s businesses just can\u2019t support.\nBeyond Self-Integration\nRapid deployment isn\u2019t the only challenge for IT departments charged with improving a business\u2019s analytics capabilities. If new software (or even just different versions of older software) is introduced on this new analytics infrastructure, complexity increases. Complexity can result in problems later when updates or security patches are installed. Further, IT could lose the ability to utilize other hardware for workload migration when peak loads occur.\nA far better approach is to move beyond self-integration and work with a vendor partner that can bring a broad array of capabilities and help IT deliver higher-quality infrastructure for analytics more quickly. This reduces the strain on IT teams and lets the operating teams get their answers faster.\nIn choosing the optimal vendor, look for:\n\nA wide range of services.\u00a0To save substantial time and procure the rock-solid platform the organization desires, the vendor must have a complete set of services, from initial consultation through operational support. The vendor should be able to showcase customers that are successfully using its services.\nDeep and meaningful integration with key vendor partners. Delivering best-in-class infrastructure for analytics is a team effort. Your vendor team should have deep technical relationships that deliver a better customer experience. This should include reference designs, configuration support, and other documented processes and capabilities that enhance the offering.\nHyperconverged infrastructure. HCI that includes pre-configured compute\/storage\/software delivers many benefits. Most analytics-focused HCI solutions have known performance parameters to allow better \u201csizing\u201d of the system so you don\u2019t have to buy more than you need. The pre-integration of the entire infrastructure substantially reduces the time needed to make the system operational.\n\nLenovo Delivers Optimized Infrastructure for Analytics that Eliminates the Need for Self-Integration\nLenovo, an industry leader for analytics infrastructure, is an outstanding choice for new platforms to support this critical activity. Lenovo has a deep relationship with the leading analytics and data management platform, SAP HANA. Not only does it offer a substantial level of technical interaction, but Lenovo has also built a competency center focused on HANA. In fact, SAP runs its own HANA implementation on Lenovo products. In addition, Lenovo works with HCI leader Nutanix to deliver pre-configured and tested HCI infrastructure that is well suited to analytics.\nFor more information, visit Lenovo HX Solutions.