SOLUTION

SAP Analytics

SAP BI (Business Intelligence)

In order to provide data and system integration and user convenience, we will establish a HANA-based BW analysis system and provide a single view of key enterprise indicators to maximize the use of information based on integrated data.

Establishment of HANA-based BW System to Maximize Information Utilization Based on Integrated Data

  • 1

    data integration

  • 2

    Maximize Information Utilization

  • 3

    Simplify reporting

  • 4

    system integration

  • data aspect

    • SAP and Non-SAP Data Integration

    • Real-Time Data Analysis Need

    • Securing new content for analysis

  • user aspect

    • Provide ease of user analysis

    • Convenience of Web-based external information delivery

    • Improved to a Web standard method

  • Data aspect

    • ERP Changes Due to Introduction of S/4 HANA

    • Introduction of HANA-based BW

    • Establishing the Foundation for Big Data Analysis

  • S/4 HANA Advanced in progress

  • Change Information System Requirements

  • Improve BW performance and respond to big data in the future

Aging SAP ECC Version and Changing Biz Environment

Product composition

In order to integrate data to provide a variety of intuitive views to support user convenience and decision-making, we would like to offer solutions with three key perspectives and ranges:

  • Data modeling (HANA based)

    Major Out-Put
    Information
    Major ranges

    • Integration of external and internal data (sales, inventory, production, accounting, personnel, etc.)

    • HANA-based multidimensional modeling for multi-dimensional business information analysis

  • Structured Report (Dashboard)

    Major Out-Put
    DashBoard
    Major ranges

    • Provide intuitive management information through summary information

    • Provide ease of monitoring management information

  • Analysis Report (Analysis Reporting)

    Major Out-Put
    Statistics Analysis
    Major ranges

    • Self BI report based on report sheet is possible

    • Ad-Hoc queries provide ease of analysis

Product Features

  • Based on B/4HANA's Analytics capabilities, analysis reports are implemented and data analysis is analyzed through BO Platform.
  • Features with environment configurable to support decision making of integrated definition

SAP PA (Predictive Analytics)

SAP Predictive Analytics can reduce productivity and cost by 10 times compared to traditional modeling tasks.
You can respond quickly to changes in your business that are changing very rapidly.

Automation/Simplification of Predictive Analytics

  • Data combination

    GUI Facilitation

  • Data
    pre-treatment

    Automation Simplification

  • Sampling

    Automation

  • Creation of prediction model

    Automatic selection of optimal model No Test Required

  • Test

    Automatic selection of optimal model No Test Required

  • interpretation

    simplification

Work application

Product composition

Product Features

By leveraging big data to apply SAP Predictive Analytics to your business, you can:

  • 01
    Predict customer behavior patterns and purchase probabilities
    Classification
    • · Analyzes customer's past purchase status and characteristics to predict which characteristics affect the purchase.
    • · Campaign through Purchase Probability Forecasting Model
    • · anti-departure
  • 02
    product sales association analysis
    Association Rules
    • · Analysis of the possibility of simultaneous sales between products/possibility of follow-up/relationship of sales based on the analysis
    • · Product development
    • · Cross/Up Selling
  • 03
    Analyzing the network
    (Social or Purchase)
    Network Analysis
    • · Extract Customer Community
  • 04
    Clustering according to customer characteristics
    Clustering
    • · Link the information of the customers you have, calculate the similarity of these characteristics and group them into similar groups
    • · Identify customer characteristics by channel
  • 05
    sales forecast
    Time Series Forecasting
    • · Predict future sales volumes by utilizing various external variables (promotion, weather, economic indicators, etc.) that affect customer sales information and sales.
    • · Sales Forecast by Clock
  • 06
    Personalization recommendations that best suit your situation
    Recommendation
    • · Personalized recommendation
    • · Location based Marketing

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