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  • Teams Development Sharing 微钉科技 (Medalsoft/Weinteck) Office 365 Dev Days 2019 Beijing Danny Huang danny@medalsoft.com 186 1687 4806

  • 微钉科技 / Company Profile

  • Offices

    Capabilities

    Talents 100+ Talents

    Tech Staff: 90+

    8+ Years

    Multi-Lang Support

    200+ Customers

    20+Solutions

    30% Fortune 500

    8+ Products

    Shanghai

    Beijing/Tianjin

    Guangzhou/Shenzhen

    Weinteck Hong Kong

    ISO27001 SCRUM

    Partnership: • Microsoft Solution Partner • Microsoft FastTrack Partner • AgilePoint Strategy Partner • UiPath Solution Partner • Nintex Premier Partner

    www.weinteck.com APAC

    www.medalsoft.com China Mainland

    www.skyaudit.net SKYAUDIT

  • Microsoft Partner Awards

    Office 365 Best Solution Award

    Microsoft Tech Summit 2018, Shanghai

    •Microsoft Solution Partner •Microsoft FastTrack Certified Partner

    Teams Solution on Corenote

    Microsoft Inspire 2019, Las Vegas

  • • Azure Web / Logic Applications

    • Azure AI Applications

    • Azure IoT Applications

    • Dynamics 365 CRM Technical Services

    Business Process Solution

    Cloud Application Solution

    Our Solutions

    Business Application

    Solution

    • Enterprise Information Portal

    • Document Security Management

    • Mobile Information Portal

    Leaders in China Markets Challengers in China Market

    Modern Workplace Solution

    • Business Process Improvement

    • Business Process Management

    • Robotic Process Automation

    • Insider Threat Detection & Analytics

    • Information & Data Asset Audit

    • Information Security Assessment

    Information Security Solution

  • Our Products

    Insider Threat Management Knowledge Bot for Teams/Office 365

    Based on Microsoft Cloud Platform

    SKYAUDIT IP Co-selling Ready

    SERVICEME IP Co-selling Undergoing

    SKYAUDIT 是内部威胁管理解决方案,通过安装

    Windows 10 Agent 监控用户操作日志,以及获

    取Office 365用户操作日志,来分析用户行为,发

    现和告警潜在的危险用户。产品包括SKYAUDIT

    (On-premise & Azure VM) 和 SKYAUDIT Cloud

    (Cloud Native & Azure Single Tenant)

    SERVICEME Knowledge Bot 是基于Teams知识

    库机器人解决方案,帮助企业用户快速查找和解决

    他们的问题,寻找答案,比如术语库、人事财务行

    政等部门的自助知识库服务,快速检索Office

    365/OneDrive文档。

  • Digital Transformation

  • Examples of Digital Transformation in MTR

    Passengers (Chatbot)

    Operations (IoT and Data Analytics)

    Supporting Functions (Robotic Process Automation)

    MTR Mall Shoppers (IoT)

    • Train-Borne Noise Monitoring System

    Shopping Mall Carpark Availability Check

    MTR Mobile Chatbot Function

  • 1 0

    计划 资源 生产 交付 启用

    E2E Supply Chain

    销售预测 需求计划 供应计划

    S&OP reconciliation/Publish

    Le ve

    l 0 Le

    ve l 1

    Le ve

    l 2 P

    o te

    n ti

    al t

    as ks

    收集数据,客户计划, 外部 输入

    分析趋势

    报告预测

    需求变化分析

    更新客户服务等级

    分析需求

    收集数据&运行预测错误报 告

    审查能力

    下载数据, 运行报告

    在excel中应用转换格式进 行分析

    数据整合

    运行财务建模

    报告 & 沟通

    调整并确定计划

    数据准备, 合作伙伴数据, 外部输入

    数据集合

    重新格式化信息到运营部、 外部、合作伙伴

    工作台分析

    分析与智能 分类管理

    采购 应付账款

    收集资料

    数据清理、填充

    分析

    报告和沟通

    采购绩效评估

    设置供应商目标

    基线表现

    定义类别

    供应商关系

    审核时间表

    目录和价格管理.

    在Excel中应用格式转换进 行分析

    采购申请

    供应商选择

    发票收据

    数据准备,合作伙伴数据, 外部输入

    报价请求处理

    文件收据/处理

    采购订单发布

    供应商查询/ 帮助

    数据管理

    处理 ASN 通知

    供应商谈判 货物跟踪/确认收据

    发票处理

    B2B协作/异常处理

    准备 计划

    生产

    RPA potential

    HIGH MEDIUM

    LOW NONE

    主要数据

    公司投入: S&OP输入 更新主要数据

    物料清单处理/数据更新

    公司生产订单

    工作中心,路线,材料, 地点

    创建、更新配置

    车间发布在制品/仪表盘 更新库存

    发布到仓库

    问题选择

    请求发货

    获取原材料 - 供应,仓库, 合同制造商

    应用跟踪和追踪,条形码

    容量和产品计划

    时间表

    Slotting 升级逾期交付

    计划物流

    数据丰富数据清理,跨系统复制监控数据质量

    客户, 供应商, 项目 创建, 更 新

    产品, 标准成本核算更新

    MAP review, 价格匹 配

    质量一致性

    平衡需求和供应

    仓库 运输

    订单管理 客户服务

    应收账款

    货物收据

    Match GRs with Planned arrivals

    逾期到货沟通

    生成选择列表

    执行选择

    更新systems / excel中的定 位器

    更新批次号,序列号 发送准备发运给客户/合作 伙伴

    时间表 升级逾期提货

    运输合作伙伴选择

    费率更新,复制数据

    货物文件收集

    报价请求流程支持

    货物跟踪

    提升延迟交货和更新交货

    支持运输预测

    B2B 登录 & 输入, 报告

    计划退货批复行情,价格表

    B2b 门户网站出价, 报价

    订单输入/创建

    订单更新/预警

    更新货物信息&沟通

    处理 POD & 生成发票

    付费提醒

    文档处理

    EDI 异常处理

    处理投诉

    退货处理

    交付状态

    质量检测一致性

    确定库存优化

    选择运输供应商

    预定运输

    跟踪货物 提单,收据,销售终 端,舱单,更新海运 船舶合同,上传文件, 到货货物跟踪检查, 定制填料自动出口系

    统。,安全备案

    上传 GPA 国家备案

    B2B 合作

    BPM/RPA重点行业 –供应链

  • ✓ Deploy RPA Platform ?

    ✓ Let RPA Robots handle the

    repetitive tasks

    ✓ Upsell RPA Apps to automate

    long and complex processes

    ✓ Humans jump in to resolve

    exceptions or escalations

    ✓ Not a basic BPM or solution.

    Compliments BPM plattorms to

    gain better results

    Have RPA and No BPM?

    ✓ Add RPA Apps

    ✓ Bring humans and robots

    together to work collaboratively

    and solve end—to—end

    processes

    ✓ Not a basic BPM solution.

    Compliments BPM platforms to

    gain better results

    ✓ Jointly work with BPM Tech

    partner if there‘s a need for a

    BPM solution

    ✓ Easier to work with BPM

    through Task APIs to get the

    best of both RPA and BPM

    platforms

    ✓ Let RPA handle simple robotic

    tasks and robot exceptions

    ✓ Encourage BPM integration with

    RPA long running workflow

    capabilites for complex task A

    scenarios

    ✓ Let RPA Robots handle the

    repetitive tasks

    Have both BPM and RPA

    Confidential

    RPA + BPM = More Value On Your Investment

    Have BPM and No RPA?

  • Teams & Power Platform / Power Visual Agent PowerBI

  • PowerApps

  • Teams & Power Platform / Power Visual Agent Power Automate

  • Teams & Power Platform / Power Visual Agent Power Visual Agent

  • Teams/Office 365 Dev Practices

  • Legacy Applications vs Modern Cloud Applications

    Teams with Legacy

    • SSO Integration • Teams Tabs • Bot Messaging

    Legacy Apps 传统应用

    Intelligent Apps 智能应用

    Teams with MS Cloud

    • AI Applications • IoT Applications • Data Applications

  • Legacy Applications vs Modern Cloud Applications

    Traditional on-premises Modern cloud

    • Monolithic, centralized • Design for predictable scalability • Relational database • Strong consistency • Serial and synchronized processing • Design to avoid failures (MTBF) • Occasional big updates • Manual management • Snowflake servers

    • Decomposed, de-centralized • Design for elastic scale • Polyglot persistence (mix of storage

    technologies) • Eventual consistency • Parallel and asynchronous processing • Design for failure (MTTR) • Frequent small updates • Automated self-management • Immutable infrastructure

  • Teams/Office 36

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