Big Data

SAS Replacement

SAS has been historically used  by a number of organizations for Data and Statistical Analysis. However, many of those organizations experience the following pain points using SAS

  • High Cost: It is extremely expensive, to the extent of becoming cost-prohibitive for many organizations. Besides one time cost, the recurring cost is quite high.

  • Limited Integration: SAS has been a very conservative one in its approach. Limited capability to take advantage of significant number of well-tested open source API libraries

  • Lack of Quality resource pool: The talent availability to do SAS is rapidly becoming a challenge. Undergraduate/ graduate programs include open source ones like R/ Python as part of the curriculum.

We provide a Data Sciences solution based on R, Python and other mature Open Source technologies that can completely replace SAS and provide the following benefits

  • Extremely low cost: Depending on what the organization chooses to do, either make use of complete open source one or the paid version (e.g. MS Revolution R/ R studio), the cost is a fraction of SAS cost

  • Integration versatility: Even though R is very powerful with its growing set of modules, it is designed to be very flexible and versatile in integrating with other technologies. A great example is the visualization capability. R’s visualization capability is considered to be industry leading when it comes to data science. Still it offers the ability to integrate open source javascript based libraries like d3.

  • High quality resource pool: R is the language of choice for hard core data scientists and light analytics professionals alike. With its rich source of modules it can literally do anything and everything. Undergraduate/ graduate programs include open source ones like R/ Python as part of the curriculum.

  • Smooth transition: Our team of Data Sciences experts are well-versed with SAS and R alike and have completed multiple SAS replacements for various customers seamlessly.