1 / 20

Informer 5: A Tour of Extensible Workflow, Collaboration, and Data Governance

Join us for a 50-minute tour of Informer 5, the powerful data analytics platform. Discover its extensible workflow, collaboration features, and data governance capabilities. Learn how to connect to different databases, create personalized workspaces, and generate insightful visuals and reports. Explore the endless possibilities of Informer 5.

lkenneth
Download Presentation

Informer 5: A Tour of Extensible Workflow, Collaboration, and Data Governance

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. February 11-13, 2018 Raleigh, NC

  2. Tour of Informer 5 Madhavi W. Chandra Director of Product Management

  3. Agenda – A 50 minute tour • Aerial tour • Ground tour – Quick Demo • Supporting Sessions – Features, Migration, Roundtables, Spotlights, Expert Lounge

  4. What’s Informer 5 about? • Extensible • Workflow • Schedule • Collaborate • Organize • Export • Secure External Links • Embed • API • Data Hub • Streaming • Indexing • Filtering • Discover • Ownership • Sharing • Data Governance

  5. Personalized Home Page

  6. Datasources • MySQL • Microsoft SQL • PostgresSQL • IBM DB2 • Oracle • Universe • Unidata • Progress OpenEdge • Generic JDBC • Connect to different types of Databases • Define mappings for underlying schema (even automatic via plugin) • Drag on a spreadsheet. Or many. Create your own Workspace • Connect disparate sources of data, e.g., from CSV and Database • Create links within and between Datasources

  7. Datasources • Define security around your Datasource • Restrict sensitive fields • Define Mapping Sets • Determine who can access Datasource and level of access • Datasource is owned and shared • Bring in other Connectors via plug-ins. Endless possibilities.

  8. Ad-hoc Query • Report type - temporary query results • Query production Database when Ad-hoc Query is run • Ad-hoc Queries same as Reports in Informer 4 • Where I4 Reports are placed when they are imported • Continue to use your I4 Reports as Ad-hoc Queries • Every user runs the Ad-hoc query to interact with the data • Or convert to Datasets - Up to you.

  9. Datasets • Reservoir of your data • Bring back as much data as you wish • Data persists • No need to hit production database every time to interact with data. Big win. • Refresh data anytime you wish – on demand or on schedule • Refreshing a Dataset is analogous to Running an Ad-hoc query

  10. Datasets • Prepare data with Data Flows – augment and cleanse • Merge duplicates • Bring in fields from another Dataset or Datasource • Percent of Total • Time in Between • Zip to Geo • Calculated columns, Powerscripts, and much more! • Bring in custom Data Flows via plug-ins. Endless Possibilities.

  11. Datasets • Pare down view of your data using Filtering • Can really go to town with Advanced Filtering • All without hitting your production database! • Datasets ‘back’ Visuals – which are thus dynamic in nature • Comment and collaborate • Dataset is owned and shared • Single Source of Truth

  12. Discover Visuals… • Picture worth a thousand rows.  • Discover feature automatically creates Visuals for you • Select a field, or a group of fields, and let Informer do the work • Pie charts, Bar charts, Column charts, Area charts, Leaderboards, Spline charts, Trend charts, Gauge, Maps, Pivot Tables, Summary Tables… • Interact with the Visual • Filter it, Configure it, Drill down, Pivot by, Change chart type,… • If you like a suggested Visual, save it to the Dataset • See business insights at the click of a button…literally.

  13. …or Create Visuals Yourself • Visuals mean a lot of different types • Charts, Pivot Tables, Summary Tables, Maps, KPIs, Data Grid, Multiple series trend chart, HTML static visual • Interact with the Visual • Filter it, Configure it, Drill down, Pivot by, Change chart type,… • Set Global Colors, e.g., NC is Blue, Texas is Yellow • Bring in custom Visuals via plug-ins. Endless possibilities.

  14. Reports • Considered output view of your data in formatted manner • Created through assembling Visuals sourced from Dataset(s) • Data View - data grid view of a Dataset. Filter • Ad hoc query – temporary query results • Dashboards – layout your canvas • Comparison boards – side by side analysis at fingertips

  15. Reports • Interact with your Reports • Comment and collaborate • Report is owned and shared • Bring in custom Reports via plug-ins. Endless possibilities.

  16. Jobs • Create your own custom Workflow based on Actions • Define and execute Actions on your data • Email, Email bursts, Save to filesystem, Send to FTP • Customize emails with HTML rich-text editor • Bring custom Actions via plug-ins. Endless possibilities. • System cleanup is a Job type. Set up by default in the system. • When a Job is executed is up to you • On demand • On a Schedule • Bring in New Job type via plug-ins. Endless Possibilities.

  17. Security - Teams and Users • Teams model your organizational structure • Users are Members of Teams with assigned Roles • Roles determine the level of access and privilege in the system • Teams own Informer content and share to other Teams • Vetted by the Team – credibility • Collaboration between Team members • Active Directory and SSO • Data Governance • Single source of truth • Transparency • Traceability • Secure access to content

  18. Using I5: Imagine this… • Sidney from Admissions Office creates Dataset of student data • Collaborates with coworkers within department on Dataset • Changes ownership to the Admissions Team and sets on schedule to refresh daily • Credible Dataset since vetted and owned by Admissions Team– definition of Active Student, acceptance criteria, etc. • Admissions Team shares out Dataset to College of Engineering, College of Arts and Sciences, Bursar’s Office, and others • Each College interacts with Dataset confidently to build Reports using Visuals they create and Visuals they Discover • Governed and accurate data!

  19. Ground Tour Can I see it?

  20. Presentations - zoom into functionality

More Related