Building a Winning Organization Through Data-Driven Decision Making

Companies Using Data at the Center of Their Decision Making DNA are Gaining a Competitive Advantage.

This white paper spotlights many of the areas in which BI can deliver value to your business, in some cases providing a 1300% return on the investment. It also offers a step-by-step guide on what you'll need to know and the talent you'll need to have to establish a successful Data and Analytics program inside your organization.

After reading this resource you'll understand:
  • 4 Requirements Any Organization Must Start With For Success
  • A Teardown of the Analytic Process: Data to Decision In 5 Steps 
  • What Skills You'll Need When Building A Data & Analytics Team 

Download this resource today and get started on the right path of building your own winning data-driven decision making organization. 

ITaaS Core Benefits
Traditional resource models generally require you to predict how much resources and skill sets you need over a period of several years. If you underestimate you may not have the horsepower to handle unexpected workloads. If you overestimate you are wasting money with superfluous resources. The on-demand and elastic nature of the ITaaS model enables support services to be closely aligned as it expands and contracts with the actual demand thereby increasing overall utilization and decreasing cost.
Elasticity is the power to scale resources up and down instantly. The elastic nature of ASI's ITaaS model allows companies to scale up and down easily while only paying for actual resources use. The ITaaS model allows businesses to quickly gain access to IT skill sets. Instantly scale up as the workload grows. Instantly stop resources that are no longer required. When you scale down, you no longer pay for the resource. Whether you need one IT professional or five, ASI provides the resources to meet your needs.
Enterprises are using ASI's Cloud Services for the following use cases:  Developing customer facing web applications that power ecommerce. Creating customer business applications to support the needs of internal functions such as HR, Finance and Sales. Running Enterprise applications such as Infor, Microsoft, Oracle and SAP applications, windows server, sharepoint server and database servers. Processing big data and high performance computing workloads for business intelligence fields. Disaster recovery, backup and archive of business critical data.