Analytics Workload and Sizing

Analytics Workload and Sizing
Product Code: SIZ-ANLT-WORK-01

There are basic deliverables that are always present in the output from this service. This foundation can be seen below:

  • Workload definition and sizing write-up
  • Methodology outline 
  • Overview of significant risk points and growth patterns
  • Compliance analysis
  • Threshold analysis 
  • Risk analysis
  • Topology changes, as needed
  • Impact forecast report
  • Definition of outstanding issues
  • Performance Model Verification (PMV) for selected optimizations, if requested by client
    • Validates the success of the project Predictive Performance Model (PPM)
    • Examines the closeness of implementation decisions to the PPM assumptions and volumetrics
    • Articulates overall success of the implementation

Additional deliverables may be added to the output, based on the findings of the specific analysis.

SIL's extensive experience with analytics in many forms, i.e., big data, standard, data mining, extended, integrated, etc., over decades of operation gives SIL an unmatched capability to help organizations understand the challenges of deploying analytics as part of their normal operational matrix. This extends to accurately sizing the computing and storage capacity needed for the structured and unstructured forms of analytic processes. The sizing of the population and static form of analytics is only one of the challenges.

A far more challenging issue is understanding the changing face of analytics form and usage. In this area, SIL's 35+ years of real-world information allows SIL to model the current use within an organization and articulate how it will change over time. The knowledge of changes allows an organization to make informed decisions on analytics strategy, governance and other aspects. Depending on the strategies, the SIL Analytics Workload Sizing service will provide a time-phased growth projection that includes storage, computing, operational decision points and organizational incorporation factors. The areas covered by SIL's Analytics Workload Sizing service include:

  • Analysis of the current situation
  • Projected system requirements
  • Impact on existing capacity plans
  • Option recommendations covering performance and problem areas
  • Critical strategic decision points that affect effectiveness, sizing and agility

The building of this plan requires minimal client resources and time (days rather than weeks) to provide needed data for each scenario. SIL has unmatched speed of response, with the results produced in less than the time required by any other approach. SIL draws on information supplied by the client organization, coupled with a 200+ PB database of real-life project metrics, to prepare tailored reports. The reports contain recommendations, cost justifications, and may include:

  • Capital expenditures (CPU's, disks, routers, machines, pipeline, etc.)
  • Application modifications
  • Organizational topology and management modifications

SIL focuses on the production of rapid analysis without building an army of consultants, and instead, leverages a growing set of artificial intelligence tools to provide detailed workload and plan analysis for thousands of world-wide customers.

When SIL's Analytics Workload Sizing Assessment service forecasts your analysis needs, you will be prepared for your implementation of analytics strategies.

Engagement Model
Data CollectionFTP and email
Update FrequencySingle
Project Form
ExecutionSingle execution
Output Form
Size Range15-45 pages
MediaElectronic, limited hardcopy
Level of DetailCompany and situation specific
Timing and Schedule
Client Time Contribution<10 total hours for data collection
Project Length2-4 weeks
Delivery MechanismRemote meeting with screen display
Contract FormFixed bid
Payment ScheduleDeposit and completion