Post on 23-Jan-2018
How To Build and Lead a Winning Data TeamCahyo ListyantoHead of Data Analytics Bizzy IndonesiaJakarta | August 2017
Business OverviewThe PillarWinning Data Team
Infrastructure
Product
People
Business OverviewBuilding Data Team
Ask yourself:• What data will your teams be working with?• What do you want to do with this data?• Who is going to benefit from this data’s generated value? Directly (ie. the user or consumer of the generated value);
Indirectly (ie. the organization’s bottom line)• How much time and money can you invest in this project?• What ROI do you expect?
Hiring Intelligently• Identify your team’s existing skill sets and what you might be missing• Prioritize according to immediate needs• Include analysts in your data science team
Technology ,Tools & Resources to Achieve the Goals• Think about scalability• Think about accessibility & stability• Think about the tools• Buy / Rent / Build
Business OverviewThe Importance of Soft SkillsBuilding Data Team
Get To Know The Problem• Understanding what actually must be solved• Never be analyst to whom problems are “throw over the fence”• The problem you’re asked to solve is often not the problem that needs solving• Solve the correct, yet often misrepresented problem
Learn How to Communicate• Without the ability to communicate, it becomes difficult to understand others challenges, articulate what’s possible, and
explain the work you’re doing• Practice makes perfect.
Key Attribute for Data Personnel:• Independent• Questioning• Innovative• Adaptive• Intuitive• Mentoring
Business OverviewBuilding Data TeamThe Trend
Business OverviewThe UnicornBuilding Data Team
Business OverviewTime Consumption and The Least EnjoyableBuilding Data Team
Business OverviewTeam Components & SpecializationBuilding Data Team
Data Engineer:• Data Collection• Data Warehouse Modelling• Data Transformation
Data Analyst:• Data Exploration• Data Visualization & Presentation• Business Knowledge
Data Scientist• Machine Learning• Statistics!• Insight Seeker
Data Ops• Big Data Infrastructure• Data Architect• Data Security• Data Performance
Data Steward• Master Data Management• Data Cleansing• Data Catalog
Business OverviewSolution ComponentsData Infrastructure
Analysis ServicesTabular
WebScrapper
DataSource
InformationManagement
MasterDataServices(MDS)
DataQualityServices(DQS)
IntegrationServices(SSIS)
Cleanse
Manage
Integrate
DataStorage
DataModelling
DataWarehouse
DataVisualization
NotDevelopedYet.Areaforfuture/plannedimprovementsNote:
IdentityManagement
AzureADConnect/Sync
NotPlannedYet
Analysis ServicesMultidimensional
Excel
Ad-HocReport
InternalDashboard&MobileBI
InternalReportingPortal
ReportingServices(SSRS)
DataScience
AzureMachineLearning
BackOfficeApps
Deprecated.MigratedtoSQLServerMasterDataServices(MDS)
DataStaging
SQLDatabase
External/CustomerDashboard
PowerBIEmbeddedForBizzySELECT
ExternalInteraction
AzureFunction
DataLake
AzureCognitiveServices
Business OverviewSolution Architecture - Data WarehouseData Infrastructure
BackOfficeApps
LOBApps
WebScrapper
ExternalDataScrapper
MasterDataServices(MDS)
DataInput&Management
DataPreparation
IntegrationServices(SSIS)
DataQualityServices(DQS)
DataStaging
SQLDatabase
DataWarehouse
Analysis ServicesTabular
DataWarehouse
OLAP/Cube
Consume
Excel
ReportingServices(SSRS)
ExecutiveDashboard
Business OverviewInfrastructure Cheat SheetData Infrastructure
Size Big Small
DataType UptimeGrowth Slow Fast Fast Slow
StructuredHigh OnPremDB/DWH CloudDB/DWH OnPremDB/DWH
Low CloudDB/DWH CloudDB/DWH
UnstructuredHigh OnPremHDPCluster
Low Ad-HocCloudHDPCluster
ex.Products
OnPremDB/DWH SQLServer,Oracle,Postgre,MySQL
OnPremHDPCluster Cloudera,Hortonworks,MapR
CloudDB/DWH AzureSQLDB,AzureSQLDW,AWSRedShift,GCPBigQuery
Ad-HocCloudHDPCluster AzureHDInsight,AWSEMR
Business OverviewData Jujitsu by Dr. DJ Patil - Turning data into productData Product
When in doubt, use humans
Start Simpleembraces the notion of the minimum viable product and the simplest thing that could possibly work
Ask yourself:
1. What do you want the user to take away from this product?
2. What action do you want the user to take because of the product?
3. How should the user feel during and after using your product?
Business OverviewDrive Action with Data in BizzyData Product TIPS!
Customer SO
Finance Approval
Buyer Create PO
GRWarehouse
Shipment
Cust Received
DO Collection
Finance Invoice
Customer Payment /
AR
Vendor Payment /
AP
B2B e-CommerceDaily Notification of end to end processInternal Notification• Finance Pending Approval• Buyer Pending PO(Back Order)• Vendor Pending GR• Pending Shipment• Pending DO Collection• Finance Pending Invoice• Vendor Pending Payment• Customer Pending Payment• Etc
External Notification• Customer AR Statement• Vendor Payment Information
Business OverviewDrive Action with Data in BizzyData Product TIPS!
Daily Notification of end to end processSample Report Layout
99 AVG $
Summary/Statistics
Category 1
Category 2
Category 3
Category 4
Series 1 Series 2 Series 3 Series 1 Series 2 Series 3
99 MAX $
a b c d e f g h i f2 g3
Trend of work performance
Detail Pending Item need follow up
Business OverviewBizzy is Hiring!!!Join Winning Tech Team
- Software Engineer - Front End- Software Engineer - Back End/Full Stack- QA Engineer- UI/UX Designer- Tech Writer
Some of our stack: PHP, Laravel, Javascript, vue.js, node.js, MySql/MariaDB, MongoDB,AWS (Lambda, EC2, RDS, S3, SNS, etc)Selenium, Postman, JIRA, Bicbucket, Confluence, Pipeline, etc