Sierra Infosys INC
info@sierratec-us.com
+1 713-747-9693

Big Data

BIG DATA ANALYTICS AND TRENDS

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Unstructured Data

  • Data has no pre-defined data structure ( ex: table or cube )
  • Data has no data model
  • Data which is not organized and stored either in a table and/or in a cube
  • No data type to determine the data storage
  • Most common unstructured data’s are narrative, textual and free form data
  • For example, images, videos, email, documents and text are all considered to be unstructured data within a data-set
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Enabling Technologies (SAP Centric)

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Our Differentiators

  • We have readily deployable hosted solutions
  • Using combination of SAP’s best practices and our proven methodology to accelerate implementation, low risk and cost
  • Business can realize their future state from day one
  • Reference architecture
  • Predefined data model, views, and functions
  • Easy to customize and adopt business changes
  • Support for future software upgrades/patches
  • Flexible deployment plan and rollout strategy
  • Wide range of engagements within SAP and the SAP ecosystem to keep abreast of latest tools and technologies
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Our Services

Innovation

  • Research & Development
  • Proof & Concepts (POC)
  • Engineering

Advisory

  • Assessment & Health Check
  • Strategy & Roadmap
  • Business Alignment
  • Requirement Capturing
  • Optimal Design
  • Training
  • Deployment Plan

Implementation

  • Technical Build
  • Solution Architecture
  • Technical Architecture
  • Data Model Architecture
  • Security Architecture
  • Testing & Training

Our Big Data Client Use Case

Industry
Health Care
Our Predictive Analytics Use Cases
  • Claims fraud detection
  • Demand driven forecasting Employee attrition & profitability
  • Employee recruitment & talent management
  • Inventory level forecasting & management
  • Quality improvement (six sigma efforts)
  • Workforce planning & management
  • Sales forecasting
  • Supplier performance management
  • Logistics management
  • Healthcare expenditure control

Topics – Data & Analytics

Client Challenges
  • Experienced planning and forecasting processes that were inconsistently distributed, manually intensive, and costly across the company’s geographies, segments, and divisions; limited additional insights into numbers (ex. no scenario capabilities)
  • Faced significant challenges in the current planning and forecasting environment globally due to the lack of centralized automation
  • Lacked scalable country-specific non-integrated systems and required significant effort to ensure better data quality; disjointed data structures and hierarchies were time and effort intensive
  • Looked to deploy more globally-consistent IT tools to enable increased automation, improve data quality, reduce cycle times, and standardize processes thus allowing more time for value added activities
  • Looked to Sierra initially to help support the vendor selection/technical due diligence process, which resulted in BPC being the most appropriate solution
Sierra Approach
  • Used BPC to establish global standards (IT and process) with the ability to adjust the following based on local needs:
    • Global Alignment: The global finance operating model requires more globally consistent IT tools to enable increased automation, improve data quality, reduce cycle times, and standardize processes thus allowing more time for value added activities.
    • Local Implementation: Require local implementations that fit into the global standards, but allow for unique localization needs. North America Commercial (NAC) was selected as the first local implementation due to its high-level engagement, knowledge, and well-defined business requirements.
  • Assisted in the development of the SAP BPC proof of concept to ensure a technical fit and the key to stakeholder buy-in
  • Conducted a fit/gap analysis of the client’s global functional requirements with SAP BPC to validate a good fit
  • Worked with project leadership in developing the project business case and Currently assisting the project leadership through the global and local project approval phases
  • Conducted global work sessions to develop a representative set of planning and forecasting requirements for the enterprise
  • Gathered detailed business requirements and Implemented global process design of the planning and forecasting processes
  • Oversaw SAP BPC functional design; validation and quality oversight through SAP BPC technical design, configuration/development phases and Provided testing assistance and support
  • Provided overall program management through BPC implementation
Business Benefits
  • Implemented global standard processes and procedures that will utilize a single technology platform with a centralized governance model
  • Implemented a global technology footprint that will support the global integration of the planning and forecasting landscape across the client organization to:
    • Standardize data definitions, hierarchies, and dimensions to minimize reconciliation and consolidation efforts
    • Enable rollup of local planning models to the group level planning and vice versa (target setting)
    • Automate algorithms to support corporate, group, and local allocation needs and Implement system-based controls and approval workflows
  • Decreased the complexity and operational cost of their current tool set
  • Improved automation and thus increase efficiency in PPM staff workload and Standardized processes and reporting to enhance financial decision making
  • Enabled scenario planning and rolling forecast capability and Improved and increased time for analytics and insight development at multiple levels

Our Big Data Client Use Case

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