I’m working on a writing case study and need a sample draft to help me study.
Read “Application Case 3.5: AARP Transforms Its BI Infrastructure and Achieves a 347% ROI in Three Years,” located in Chapter 3 of the textbook.
In 50-100 words each, address the questions presented at the end of the case study.
While APA style is not required for the body of this assignment, solid academic writing is expected, and documentation of sources should be presented using APA formatting guidelines, which can be found in the APA Style Guide, located in the Student Success Center.
Application Case 3.5 AARP Transforms Its BI Infrastructure and Achieves a 347% ROI in Three Years
AARP, Inc., formerly the American Association of Retired Persons, is a U.S.-based membership and interest group, founded in 1958 by Ethel Percy Andrus, PhD, a retired educator from California, and Leonard Davis, founder of Colonial Penn Group of insurance companies. As described in their Web site (aarp.org), AARP is a nonprofit, nonpartisan, social welfare organization with a membership of nearly 38 million that helps people turn their goals and dreams into real possibilities, strengthens communities, and fights for the issues that matter most to familiessuch as healthcare, employment and income secu-rity, and protection from financial abuse.
A Growing Demand for BIIn 2002, the organization first launched a BI initiative that would centralize information (AARP has offices in all 50 states as well as the District of Columbia) and empower its staff with current, relevant, accu-rate, and flexible analytics to:??Match services and product offerings to mem-bership base and expectations.??Improve member pro?tability, retention, and acquisition.??Protect AARP brand image by managing rela-tionships with third-party service providers.This insight helped fuel AARPs success and, with this success, came larger data volumes and an increased demand for new analytics.By 2009, the BI team faced a new challenge. Its data warehousebased on an SQL relational database from Oraclecould no longer keep up with the demand. The team experienced more than 30 systems failures that year. This was both unac-ceptable and costly.System performance was a key concern as well. As the data volumes grew, daily loads into the ware-house couldnt be completed until 3:00 P.M.which affected how long staff had to wait for reports. Our analysts would run a report, then go for coffee or for lunch, and, maybe if they were lucky, by 5:00 P.M.they would get the response, says Bruni, Practice Director, Business Intelligence, AARP. It was unac-ceptable. The system was so busy writing the new daily data that it didnt give any importance to the read operations performed by users.Analysts also couldnt create ad hoc queries without IT intervention. When IT received a request for a new type of report, the BI team would have to optimize the queries and send a report sample back to the requestors for review. The process, from start to finish, could take weeks to months. Finally, with more than 36 terabytes of data in the data warehouse, staff found it impossible to back up the system each night. Backups were limited to a few critical tables, making it difficult for staff to create an effective disaster recovery plan.According to Bruni, if left unsolved, these chal-lenges could have affected AARPs work. Analytics provide key metrics that are critical to evaluate how well our membership and social goals are being attained, says Bruni. It is essential to enabling con-tinuous improvement and decision making to sup-port member needs.
Application Case 3.5 (Continued) Creating an Agile BI Environment
As Brunis team looked to modernize the BI envi-ronment, they evaluated two optionsupgrading the existing environment or moving to a single data warehouse appliance. We found the cost of each option comparable, but only the appliance provided us a paradigm shift in terms of the performance we needed, says Bruni. Among the different partners we looked at, the IBM Netezza data warehouse appliance provided the safest bet because it didnt require the data model fine-tuning that other data warehouses do. We were also able to try the solution before we bought it to see whether it really could do everything we needed. Most vendors do not provide this type of try-before-you-buy option. In building the new environment, the organi-zation adopted a Scrum development model, usually used by software developers, to provide a framework that shortens development cycles and speeds time to market for BI requests. Using Scrum in data warehousing is kind of unheard of, says Bruni. But the basic premise it provides is an agile, iterative process that enables us to rapidly transform our users analytic needs into operating reports that show meaningful data.Within 9 months from the acquisition of its new platform, the team had converted all the scripts and procedures from Oracle Database into the IBM®Netezza® data warehouse appliance. Core accounts and membership data (which resides on an IBM DB2® for z/OS® database running on an IBM System z® server), financial and human resource data from other smaller databases, and campaign analysis and segmentation data from third-party data sources are now loaded in the IBM Netezza data warehouse appliance nightly and accessible via the organiza-tions BI tools without interruption.Running Complex Queries at Lightning SpeedIn terms of performance (which was the BI teams most pressing concern), daily data loads are now completed before 8:00 A.M.a 1,400% improve-mentand reports that previously took minutes to run are completed in secondsa 1,700% improve-ment. The solution also helped compress the data size from 36 terabytes to just 1.5 terabytes, enabling staff to easily back up the data warehouse in only 30 minutes.Equally important, the nearly 220 human resources, finance, marketing, and campaign staff members that use the system can now conduct what Bruni refers to as train-of-thought analysis creat-ing ad hoc reports to test theories regarding mem-bership needs. The IBM Netezza data warehouse appliance is like driving a Ferrari, says Bruni. We have opened a whole new realm of possibilities to our internal customers, who are actually able to cre-ate reports on-the-fly and get the results back in a matter of seconds. In the first few months of opera-tion, we saw a huge spike in the number of reports being creatednearly three times the number that we had previously supported. With the deep dive they can conduct now, weve seen a steady growth in member renewals, acquisitions and engagement.Achieving Rapid ROIThe new platform has also enabled the organization to redeploy IT support staff from the BI group to other areas. Previously, the team needed one full-time database administrator (DBA) along with part-time support from the organizations storage area network (SAN) and midrange service teams. Its amazing, says Bruni. We no longer need IT sup-port. The IBM Netezza data warehouse appliance is shipped already optimized. Give it power, give it network, and youre done. It doesnt need anything else.These improvements have enabled the organi-zation to realize a 9% return on investment in the first year, with an anticipated 274% ROI by the second year, and a 347% investment by the third year. Our initial analysis projected a positive ROI already in the first yearwhich is very unusual for infrastructure upgrades given all costs are incurrent in the first year, says Bruni. Our actual ROI post-implementation was even higher as we completed the swap three months ahead of schedule.Expanding the Influence of BIBy modernizing its infrastructure, Brunis team has elevated the value and perception of BI in the organization. After we moved to IBM Netezza, the word spread that we were doing things right and that leveraging us as an internal service was really smart, says Bruni. Weve gained new mission-critical areas, such as the social-impact area which supports our Drive to End Hunger and Create the Good cam-paigns, based on the fact that we have such a robust infrastructure and that we changed our approach to business. We can develop in a more agile way from a development standpoint. From a program manage-ment standpoint, it shrinks our release cycles from months, which is typical with traditional data ware-house infrastructures, to just weeks.
QUESTIONS FOR DISCUSSION
1. What were the challenges AARP was facing?
2. What was the approach for a potential solution?
3. What were the results obtained in the short term, and what were the future plans?
Source: IBM customer success story. (2011). AARP transforms its business intelligence infrastructureAchieving a 347% ROI in three years from BI modernization effort. http://www-03.ibm.com/soft-ware/businesscasestudies/us/en/corp?synkey=A735189Y23828M82 (accessed June 2016).