#ibmvision
CBS-­‐1148	
  	
  
Cloud-­‐based	
  Self-­‐Service	
  Data	
  Discovery	
  
for	
  IBM	
  Cognos	
  TM1	
  and	
  IBM	
  Mainframes	
  
	
  Patrick Spedding
Managing Director, BI R&D
Rocket Software
Ronnie Rich
Product Manager IBM Cognos TM1
IBM
IBM Vision 2015 Conference	
  
©2015 IBM Corporation#ibmvision
RESTful	
  API	
  
§  REpresenta(onal	
  State	
  Transfer	
  is	
  a	
  style	
  of	
  so/ware	
  
architecture	
  for	
  distributed	
  systems	
  
–  REST	
  is	
  rapidly	
  becoming	
  the	
  predominant	
  Web	
  service	
  design	
  
model	
  
–  O/en	
  associated	
  to	
  HTTP	
  but	
  the	
  RESTful	
  principles	
  are	
  protocol	
  
independent	
  
§  Basic	
  CRUD	
  opera(ons,	
  if	
  applicable,	
  are	
  preFy	
  well	
  defined	
  and	
  
associated	
  with	
  their	
  respec(ve	
  HTTP	
  method	
  (GET,	
  POST,	
  PUT	
  and	
  
DELETE)	
  
§  As	
  of	
  10.2	
  RP2	
  added	
  a	
  OData	
  compliant	
  version	
  of	
  the	
  
RESTful	
  API	
  
2
©2015 IBM Corporation#ibmvision
TM1	
  Server	
  APIs	
  –	
  Overview	
  
3
RESTful API stack
Core TM1 Server
Classic API
Classic API
C, Java & .NET APIs
HTTP based client
consuming RESTful API
Proprietary
protocol
HTTP(S)
©2015 IBM Corporation#ibmvision4
OData	
  
§  Designed	
  through	
  an	
  Open	
  Process	
  
–  OData.org,	
  mailing	
  lists	
  
–  Released	
  under	
  the	
  Open	
  Specifica(on	
  Promise	
  
§  Growing	
  Industry	
  Support	
  
–  Government,	
  Enterprise,	
  Consumer,	
  internal	
  systems	
  
§  Recently	
  announced	
  OData	
  Technical	
  CommiFee	
  in	
  OASIS	
  for	
  
Standardiza(on	
  
–  Support	
  from	
  IBM,	
  Microso/,	
  SAP,	
  Progress,	
  WSO2,	
  Citrix,	
  CA,	
  
Red	
  Hat	
  
§  Work	
  with	
  schema.org	
  on	
  vocabularies	
  for	
  common	
  seman(cs	
  
©2015 IBM Corporation#ibmvision5
OData	
  Provides	
  
§  	
  Uniform	
  way	
  to	
  model	
  data	
  
–  Intui(ve,	
  familiar	
  model	
  of	
  en((es	
  and	
  rela(onships	
  
§  A	
  uniform	
  way	
  of	
  represen(ng	
  structured	
  data	
  
–  Atom/XML,	
  JSON	
  formats	
  
§  Uniform	
  URL	
  conven(ons	
  
–  Naviga(on,	
  filtering,	
  sor(ng,	
  paging,	
  custom	
  func(ons,	
  etc.	
  
§  Uniform	
  opera(ons	
  
–  Addressability	
  
–  GET,	
  POST,	
  PATCH,	
  DELETE,	
  custom	
  ac(ons	
  
§  Uniform	
  data	
  and	
  metadata	
  annota(ons	
  for	
  shared	
  vocabularies	
  
–  Define	
  common	
  seman(cs	
  across	
  schemas,	
  opera(ons	
  
§  while	
  keeping	
  the	
  barrier	
  of	
  entry	
  as	
  low	
  as	
  possible	
  
©2015 IBM Corporation#ibmvision
Rocket	
  SoGware:	
  	
  
Driving	
  IBM	
  Customer	
  Successes	
  for	
  20	
  Years	
  
©2015 IBM Corporation#ibmvision
Digital	
  DisrupMon:	
  The	
  Future	
  of	
  BI	
  
“By	
  2017,	
  most	
  business	
  users	
  and	
  analysts	
  in	
  
organisa(ons	
  will	
  have	
  access	
  to	
  self-­‐service	
  tools	
  to	
  
prepare	
  data	
  for	
  analysis.”	
  
	
  
Gartner
“Managed BI self-service will continue to close
the business and technology gap.”
Forrester
“Visual data-discovery, an important enabler of
end user self-service, will grow 2.5x faster than
the rest of the market, becoming a requirement
for all enterprises by 2018”.

Forbes
©2015 IBM Corporation#ibmvision 88
“Given the remarkably fast
pace of innovation and
change, if you’re not focused
on speed, you’re dead in the
water. Creativity without
speed is useless. Old rules and
standard operating procedures
don’t lead to innovation”
Speed
“Today’s markets demand
speed. Speed trumps all else.”
(Nolan Bushnell “Finding the Next Steve Jobs”)
©2015 IBM Corporation#ibmvision
Buyer/User	
  Profile	
  
•  Excel	
  Savvy,	
  mastering	
  all	
  
func(onality	
  from	
  pivot	
  
tables	
  to	
  complex	
  func(on	
  
support	
  
•  Well-­‐versed	
  in	
  data	
  and	
  
knows	
  what	
  enterprise	
  
systems	
  they	
  need	
  to	
  
access	
  for	
  each	
  business	
  
need	
  
Pain	
  Points	
  
•  Needs	
  an	
  easy	
  to	
  use	
  data	
  
prep	
  tool	
  so	
  she	
  can	
  easily	
  
connect	
  to	
  and	
  enhance	
  
data	
  
•  Looking	
  to	
  replicate	
  excel	
  
func(onality	
  within	
  
dashboards	
  
Persona	
  Profiles	
  &	
  Pain	
  Points	
  
Buyer/User	
  Profile	
  
•  Believes	
  in	
  analyzing	
  data	
  
to	
  support	
  business	
  
decisions.	
  
•  His	
  reputa(on	
  is	
  on	
  the	
  
line,	
  he	
  needs	
  to	
  be	
  able	
  to	
  
make	
  the	
  right	
  business	
  
decisions.	
  	
  
Pain	
  Points	
  
•  He	
  needs	
  a	
  quick	
  and	
  easy	
  
way	
  to	
  access	
  all	
  the	
  data	
  
sources	
  he	
  needs.	
  
•  Wants	
  a	
  simple	
  tool	
  that	
  
allows	
  him	
  to	
  create	
  
dashboards	
  at	
  a	
  moments	
  
no(ce.	
  	
  
	
  
Influencer	
  Profile	
  
•  Burdened	
  by	
  demands	
  of	
  
users	
  throughout	
  the	
  org	
  
reques(ng	
  visualiza(ons.	
  
•  Cares	
  about	
  system/data	
  
reliability,	
  scale,	
  security	
  
and	
  worthiness	
  
Pain	
  Points	
  
•  Wants	
  flexibility	
  to	
  run	
  on-­‐
premise	
  or	
  in	
  the	
  cloud,	
  
one	
  that’s	
  easy	
  to	
  
administer	
  	
  
•  Doesn’t	
  want	
  to	
  hire	
  more	
  
BI	
  focused	
  support	
  staff	
  
C-Level Exec & Line of
Business User
Business Unit Controller,
Business/Financial Analyst
VP/Director of IT, Director
of System Operations
©2015 IBM Corporation#ibmvision
From	
  Complexity	
  to	
  Clarity:	
  Rocket	
  Discover	
  
A Business Intelligence Solution for Line of Business
Managers and Senior Level Executives
who need an intuitive, self-service offering
that empowers them to access any data and create
visual interactive dashboards
that expose trends, outliers, historical details, and
information
so they’re equipped to share information and make
better, more informed business decisions.
©2015 IBM Corporation#ibmvision
End-­‐to-­‐End	
  Data	
  Discovery	
  
Business Need
•  Connecting disparate data across the
enterprise
•  A single solution for enrichment & discovery
•  No time for data warehouse development
•  Access to siloed desktop sources
From Desktop to
Relational, MultiValue,
Mainframe, OLAP, and 
more
No need to purchase
additional products
Business Need
•  Intuitive environment to create dashboards
•  Easy and quick data exploration & analytics
•  Business user solution
•  Views for trending, outliers, comparison
•  Proactive notification of issues
Self-service, Guided
navigation, Drag-and-
drop dashboard
creation, One-click
drilldown to pinpoint
focused data 
Proactive pre-built
analytic functions
Auto Alerts for
proactive action,
Intelligent Filters 
Business Need
•  Easily share data views with team
•  Instant and live discussion within data portal
•  Ongoing communication on issues
•  Share with individuals, team, internal and
external
•  Templating for reuse and easy adoption
Instant messaging,
share dashboards,
personal & team
annotations 
Create and share
dashboard
templates
Share & Collaborate
©2015 IBM Corporation#ibmvision
Rocket	
  Discover	
  Architecture	
  
©2015 IBM Corporation#ibmvision
Designed	
  to	
  complement	
  the	
  IBM	
  stack	
  
Na(ve	
  Connec(vity	
  to	
  
IBM	
  Cognos	
  TM1	
  Cubes	
  
and	
  Cube	
  Views.	
  	
  
Support	
  for	
  IBM	
  RAVE	
  
Charts.	
  	
  
Support	
  for	
  IBM	
  So/layer	
  	
  
©2015 IBM Corporation#ibmvision
TM1	
  API:	
  LisMng	
  TM1	
  Servers	
  
	
  
Ac(on:	
  Press	
  
Reconnect/
Connect	
  
Result:	
  Populates	
  
TM1	
  Server	
  
drop-­‐down	
  list	
  
Ac(on:	
  Select	
  a	
  
TM1	
  Server	
  
Result:	
  Shows	
  
users	
  a	
  list	
  of	
  
Cubes	
  in	
  the	
  TM1	
  
Server	
  
©2015 IBM Corporation#ibmvision
TM1	
  API:	
  Showing	
  Cubes	
  from	
  TM1	
  Server	
  
§  TM1	
  Authen(ca(on	
  (BASIC)	
  and	
  CAM	
  Namespace	
  
Authen(ca(on	
  (CAMNamespace)	
  are	
  supported	
  for	
  all	
  TM1	
  
Server	
  API	
  calls.	
  
©2015 IBM Corporation#ibmvision
TM1	
  API:	
  Cube	
  Views,	
  Subsets,	
  Hierarchies,	
  Aliases	
  
List	
  Views	
  for	
  the	
  
selected	
  Cube	
  
Get	
  Row	
  
Subset(s)	
  
Get	
  Column	
  
Subset(s)	
  
Get	
  Title	
  Subsets	
  
(aka	
  Contexts)	
  
Find	
  out	
  aliases	
  
used	
  for	
  every	
  
Dimension	
  
subset	
  
Get	
  hierarchy	
  
informa(on	
  and	
  
business	
  rules	
  
©2015 IBM Corporation#ibmvision
	
  TM1	
  API:	
  Cube	
  updates,	
  text	
  in	
  Crosstab	
  cells	
  
Cell	
  updates	
  
reflected	
  straight	
  
away	
  
Text	
  in	
  crosstabs	
  
©2015 IBM Corporation#ibmvision
Support	
  for	
  TM1	
  and	
  non-­‐TM1	
  data	
  
Na(ve	
  
Mainframe	
  
VSAM	
  connector	
  
(DB2	
  on	
  z/OS	
  
coming	
  soon)	
  
Other	
  data	
  
sources	
  (e.g.	
  
CSV,	
  DB2	
  on	
  
LUW,	
  SQL	
  
Server,	
  Oracle)	
  
Social	
  Data	
  
(TwiFer,	
  News,	
  
Blogs)	
  
TM1/TM1	
  Web	
  
©2015 IBM Corporation#ibmvision
1.5
2.0
Next Releases
Connectivity: IBM Cognos TM1, DVS, VSAM z/
OS, DB2 LUW, Social (Darwin Eco)
Analytics: Cardinality, Outliers, Auto hierarchies
Dashboarding: RAVE
1.1
Rocket	
  Discover	
  Roadmap:	
  IBM	
  specific	
  
Connectivity: Cloud sources (Web Services/REST), Bluemix, Netezza
Analytics: Forecasting, decision tree, SPSS (Bluemix)
Connectivity: MultiValue (Universe/Unidata), DB2 z/OS,
Cognos BI SDK, IBM BigInsights
Collaboration: Storypoints, Alerts, IBM Connections
Analytics: Correlations, Segmentation/clustering
Dashboarding:, RAVE 2.0 extensibility
Reporting: ‘Lite’ Reporting/Ad-hoc Query
Other: Freemium, Hosted Trial (IBM Cloud)
©2015 IBM Corporation#ibmvision
Examples	
  
©2015 IBM Corporation#ibmvision
Example:	
  Dynamic	
  Dashboard	
  updates	
  
©2015 IBM Corporation#ibmvision
Example:	
  TM1	
  data	
  in	
  KPIs,	
  Charts,	
  Maps	
  
©2015 IBM Corporation#ibmvision
IBM Rapidly Adaptive Visualization Engine
RAVE Engine
Visualization
"Description"
©2015 IBM Corporation#ibmvision
Extensible	
  VisualizaMon	
  provides	
  a	
  growing	
  range	
  
of	
  visualizaMon	
  opMons	
  
The	
  Challenge:	
  
– New	
  requirements	
  for	
  visualiza(ons	
  are	
  constantly	
  
emerging 	
  	
  
– Each	
  requirement	
  is	
  unique	
  and	
  is	
  difficult	
  to	
  meet	
  
	
  
The	
  Solu.on:	
  	
  
– Provide	
  a	
  wider	
  variety	
  of	
  visualiza(ons	
  with	
  the	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  
means	
  to	
  extend	
  and	
  customize	
  
©2015 IBM Corporation#ibmvision
Composable	
  Set	
  of	
  Chart	
  Features	
  
Element Type
• Point, line, area, interval
(bar), polygon, schema,
text
• Each element can be
used with any data
(numeric, category, time
…)
• As many elements on a
chart as you like
Coordinates
• Any number of dimensions
can be defined, with a chain
of transformations
• Clustering and stacking
• Polar
• Transpose
• Map projections
Aesthetics
• Map Data to Graphic
Attributes.
• Works on all elements
• Color (exterior, interior,
works with gradients)
• Size (width/height/both)
• Symbol
• Dashing, General Styles
• Label, Tooltip, Meta
Layouts
• Graph Layouts (Network,
Treelike)
• Treemaps
• Custom Layouts
Faceting
• Chart-in-chart
• Paneling
Guides
• Simple Axis
• Nested Axis
• Facet Axis
• Legend
©2015 IBM Corporation#ibmvision
2
IBM	
  RAVE	
  Example:	
  Bubble	
  Chart	
  
©2015 IBM Corporation#ibmvision
Rocket	
  DVS	
  –	
  Data	
  VirtualizaMon	
  for	
  IBM	
  zIIP	
  
	
  
SQL
JDBC/ODBC/
DRDA
NoSQL
MongoDB API
Services
SOAP/REST/
HTML
Web
HTTP
Events
CDC/Data
Streams
Rocket
Data Virtualization
Server
Map/Reduce	
  Query	
  
Op(miza(on	
  
Parallel/IO	
  
Data	
  Mapping	
   Caching	
  
Design
Security
Metadata
Monitoring
Web/
Mobile
Analytics, SearchESB, ETL Transactional
Data
Landing Zones
Oracle	
  	
  
Infor
mix	
  
Derby	
  
DB2	
  
LUW	
  
SQL	
  
Server	
  
Big	
  
Insights	
  
Big	
  SQL	
  
Mongo
DB	
  
Cloud	
  
Data	
  
Adaba
s	
  
VSAM	
  
Sequen(
al	
  
DB2	
  for	
  z/
OS	
  
CICS	
  
IMS	
  	
  	
  
Natur
al	
  
IDMS	
  
IBM	
  Federa(on	
  
Server	
  IBM	
  	
  
IDAA	
  
IBM	
  	
  
Pure	
  
Data	
  
Landing Zones
Hadoop	
  
Clouda
nt	
  
DataStage	
   IBM	
  
IDAA	
  
IBM zIIP Specialty Engine
Requesting
Client
Applications
BATCH
CICS
Other
Started
Task
IMS
©2015 IBM Corporation#ibmvision
Rocket	
  DVS	
  in	
  Rocket	
  Discover	
  
©2015 IBM Corporation#ibmvision
Summary	
  –	
  Rocket	
  Discover	
  
§  Designed	
  for	
  business	
  users,	
  consumers	
  of	
  TM1	
  data	
  
§  Supports	
  Cloud/On-­‐Premise,	
  Linux	
  and	
  Windows	
  Server	
  
§  Designed	
  to	
  minimize	
  services/training	
  requirements	
  
§  Support	
  for	
  TM1	
  and	
  non-­‐TM1	
  data	
  
§  Self-­‐paced	
  training	
  via	
  extensive	
  ac(ve	
  eLearning	
  modules	
  
§  Na(ve	
  connec(vity	
  preserves	
  TM1	
  hierarchies	
  and	
  
business	
  rules,	
  leverages	
  fast	
  performance	
  of	
  TM1	
  engine	
  
§  Extrac(ng	
  TM1	
  data	
  to	
  load	
  into	
  3rd	
  party	
  Data	
  Discovery	
  
tools	
  is	
  not	
  an	
  op(mal	
  approach	
  for	
  most	
  situa(ons	
  
©2015 IBM Corporation#ibmvision
For	
  More	
  InformaMon:	
  
FOM-­‐1106	
  The	
  Benefits	
  of	
  Business	
  Partner	
  Authored	
  
Pre-­‐Built	
  TM1	
  Applica(ons	
  	
  
Hilton	
  Bonnet	
  Creek	
  –	
  Palm	
  Beach	
  	
  
Tue,	
  19-­‐May	
  10:00	
  AM	
  -­‐	
  11:00	
  AM	
  	
  
	
  
1097A	
  Hands-­‐on	
  Lab	
  with	
  IBM	
  Cognos	
  TM1	
  SDK	
  –	
  REST,	
  
Java	
  and	
  IBM	
  Cognos	
  TM1	
  Web 	
  	
  
Hilton	
  Bonnet	
  Creek	
  -­‐	
  Dade 	
  	
  
Wed,	
  20-­‐May	
  09:00	
  AM	
  -­‐	
  12:00	
  PM 	
  	
  
	
  
©2015 IBM Corporation#ibmvision
SupporMng	
  Material	
  
Rocket	
  Discover	
  30	
  Day	
  Trial	
  
Ø  Register	
  for	
  the	
  trial	
  	
  
Ø  Watch	
  the	
  eLearning	
  Tutorials	
  
Ø  Join	
  the	
  Conversa(on	
  on	
  the	
  Rocket	
  Discover	
  Forum	
  
Ø  Par(cipate	
  in	
  the	
  Discovering	
  New	
  Insights	
  contest.	
  The	
  winner	
  receives	
  an	
  
Apple	
  Watch	
  
Interested	
  in	
  Learning	
  More	
  
Ø  Inforgraphic	
  –	
  The	
  Game	
  of	
  Self-­‐Service	
  Intelligence	
  
Ø  Rocket	
  Discover	
  Brochure	
  
Ø  Rocket	
  Discover	
  	
  &	
  IBM	
  Cognos	
  TM1	
  Brochure	
  
Ø  IDC	
  Dat-­‐a-­‐Glance:	
  Self-­‐Service	
  BI	
  and	
  Data	
  Discovery	
  
Feedback	
  Channel	
  
Ø  Contact	
  the	
  Discover	
  Team	
  at	
  rocket-­‐discover@rocketso/ware.com	
  and	
  share	
  
your	
  opinion	
  on	
  Rocket	
  Discover	
  and	
  the	
  30	
  Day	
  Trial.	
  	
  
© 2014 Rocket Software, Inc. All Rights Reserved.
©2015 IBM Corporation#ibmvision
eLearning:	
  
hYp://www.rocketsoGware.com/product-­‐families/rocket-­‐discover	
  
	
  
§  Navigation Overview:
hFp://www3.rocketso/ware.com/discover/naviga(on.html	
  
§  Introducing Dashboard:
hFp://www3.rocketso/ware.com/discover/intro-­‐dashboards.html	
  
§  Editing a Dashboard:
hFp://www3.rocketso/ware.com/discover/edi(ng-­‐dashboard.html	
  
§  Drilling into Data:
hFp://www3.rocketso/ware.com/discover/drilling-­‐into-­‐data.html	
  
§  Data Preparation:
hFp://www3.rocketso/ware.com/discover/data-­‐prepara(on.html	
  
§  Sharing and Collaborating:
hFp://www3.rocketso/ware.com/discover/sharing-­‐collabora(ng.html	
  
§  Using TM1: hFp://www3.rocketso/ware.com/discover/tm1.html	
  
33	
  
Thank	
  You!	
  
Patrick	
  Spedding	
  
Managing	
  Director,	
  BI	
  R&D	
  
Rocket	
  SoGware	
  
	
  
pspedding@rs.com
@spedding
www.rocketsoftware.com
Rocket Software Group
@Rocket
Ronnie	
  Rich	
  
Product	
  Manager	
  IBM	
  Cognos	
  TM1	
  
IBM	
  	
  
34	
  
Presenter	
  Name	
  Here,	
  
Presenter	
  Mtle	
  here	
  
Thank You!
Your Feedback is Important
Access the
Vision 2015 Event CONNECT Attendee Portal or
hFp://vision2015survey.com	
  
to complete your session surveys
from your smartphone, laptop
or conference kiosk.
	
  

Vision2015-CBS-1148-Final

  • 1.
    #ibmvision CBS-­‐1148     Cloud-­‐based  Self-­‐Service  Data  Discovery   for  IBM  Cognos  TM1  and  IBM  Mainframes    Patrick Spedding Managing Director, BI R&D Rocket Software Ronnie Rich Product Manager IBM Cognos TM1 IBM IBM Vision 2015 Conference  
  • 2.
    ©2015 IBM Corporation#ibmvision RESTful  API   §  REpresenta(onal  State  Transfer  is  a  style  of  so/ware   architecture  for  distributed  systems   –  REST  is  rapidly  becoming  the  predominant  Web  service  design   model   –  O/en  associated  to  HTTP  but  the  RESTful  principles  are  protocol   independent   §  Basic  CRUD  opera(ons,  if  applicable,  are  preFy  well  defined  and   associated  with  their  respec(ve  HTTP  method  (GET,  POST,  PUT  and   DELETE)   §  As  of  10.2  RP2  added  a  OData  compliant  version  of  the   RESTful  API   2
  • 3.
    ©2015 IBM Corporation#ibmvision TM1  Server  APIs  –  Overview   3 RESTful API stack Core TM1 Server Classic API Classic API C, Java & .NET APIs HTTP based client consuming RESTful API Proprietary protocol HTTP(S)
  • 4.
    ©2015 IBM Corporation#ibmvision4 OData   §  Designed  through  an  Open  Process   –  OData.org,  mailing  lists   –  Released  under  the  Open  Specifica(on  Promise   §  Growing  Industry  Support   –  Government,  Enterprise,  Consumer,  internal  systems   §  Recently  announced  OData  Technical  CommiFee  in  OASIS  for   Standardiza(on   –  Support  from  IBM,  Microso/,  SAP,  Progress,  WSO2,  Citrix,  CA,   Red  Hat   §  Work  with  schema.org  on  vocabularies  for  common  seman(cs  
  • 5.
    ©2015 IBM Corporation#ibmvision5 OData  Provides   §   Uniform  way  to  model  data   –  Intui(ve,  familiar  model  of  en((es  and  rela(onships   §  A  uniform  way  of  represen(ng  structured  data   –  Atom/XML,  JSON  formats   §  Uniform  URL  conven(ons   –  Naviga(on,  filtering,  sor(ng,  paging,  custom  func(ons,  etc.   §  Uniform  opera(ons   –  Addressability   –  GET,  POST,  PATCH,  DELETE,  custom  ac(ons   §  Uniform  data  and  metadata  annota(ons  for  shared  vocabularies   –  Define  common  seman(cs  across  schemas,  opera(ons   §  while  keeping  the  barrier  of  entry  as  low  as  possible  
  • 6.
    ©2015 IBM Corporation#ibmvision Rocket  SoGware:     Driving  IBM  Customer  Successes  for  20  Years  
  • 7.
    ©2015 IBM Corporation#ibmvision Digital  DisrupMon:  The  Future  of  BI   “By  2017,  most  business  users  and  analysts  in   organisa(ons  will  have  access  to  self-­‐service  tools  to   prepare  data  for  analysis.”     Gartner “Managed BI self-service will continue to close the business and technology gap.” Forrester “Visual data-discovery, an important enabler of end user self-service, will grow 2.5x faster than the rest of the market, becoming a requirement for all enterprises by 2018”. Forbes
  • 8.
    ©2015 IBM Corporation#ibmvision88 “Given the remarkably fast pace of innovation and change, if you’re not focused on speed, you’re dead in the water. Creativity without speed is useless. Old rules and standard operating procedures don’t lead to innovation” Speed “Today’s markets demand speed. Speed trumps all else.” (Nolan Bushnell “Finding the Next Steve Jobs”)
  • 9.
    ©2015 IBM Corporation#ibmvision Buyer/User  Profile   •  Excel  Savvy,  mastering  all   func(onality  from  pivot   tables  to  complex  func(on   support   •  Well-­‐versed  in  data  and   knows  what  enterprise   systems  they  need  to   access  for  each  business   need   Pain  Points   •  Needs  an  easy  to  use  data   prep  tool  so  she  can  easily   connect  to  and  enhance   data   •  Looking  to  replicate  excel   func(onality  within   dashboards   Persona  Profiles  &  Pain  Points   Buyer/User  Profile   •  Believes  in  analyzing  data   to  support  business   decisions.   •  His  reputa(on  is  on  the   line,  he  needs  to  be  able  to   make  the  right  business   decisions.     Pain  Points   •  He  needs  a  quick  and  easy   way  to  access  all  the  data   sources  he  needs.   •  Wants  a  simple  tool  that   allows  him  to  create   dashboards  at  a  moments   no(ce.       Influencer  Profile   •  Burdened  by  demands  of   users  throughout  the  org   reques(ng  visualiza(ons.   •  Cares  about  system/data   reliability,  scale,  security   and  worthiness   Pain  Points   •  Wants  flexibility  to  run  on-­‐ premise  or  in  the  cloud,   one  that’s  easy  to   administer     •  Doesn’t  want  to  hire  more   BI  focused  support  staff   C-Level Exec & Line of Business User Business Unit Controller, Business/Financial Analyst VP/Director of IT, Director of System Operations
  • 10.
    ©2015 IBM Corporation#ibmvision From  Complexity  to  Clarity:  Rocket  Discover   A Business Intelligence Solution for Line of Business Managers and Senior Level Executives who need an intuitive, self-service offering that empowers them to access any data and create visual interactive dashboards that expose trends, outliers, historical details, and information so they’re equipped to share information and make better, more informed business decisions.
  • 11.
    ©2015 IBM Corporation#ibmvision End-­‐to-­‐End  Data  Discovery   Business Need •  Connecting disparate data across the enterprise •  A single solution for enrichment & discovery •  No time for data warehouse development •  Access to siloed desktop sources From Desktop to Relational, MultiValue, Mainframe, OLAP, and more No need to purchase additional products Business Need •  Intuitive environment to create dashboards •  Easy and quick data exploration & analytics •  Business user solution •  Views for trending, outliers, comparison •  Proactive notification of issues Self-service, Guided navigation, Drag-and- drop dashboard creation, One-click drilldown to pinpoint focused data Proactive pre-built analytic functions Auto Alerts for proactive action, Intelligent Filters Business Need •  Easily share data views with team •  Instant and live discussion within data portal •  Ongoing communication on issues •  Share with individuals, team, internal and external •  Templating for reuse and easy adoption Instant messaging, share dashboards, personal & team annotations Create and share dashboard templates Share & Collaborate
  • 12.
    ©2015 IBM Corporation#ibmvision Rocket  Discover  Architecture  
  • 13.
    ©2015 IBM Corporation#ibmvision Designed  to  complement  the  IBM  stack   Na(ve  Connec(vity  to   IBM  Cognos  TM1  Cubes   and  Cube  Views.     Support  for  IBM  RAVE   Charts.     Support  for  IBM  So/layer    
  • 14.
    ©2015 IBM Corporation#ibmvision TM1  API:  LisMng  TM1  Servers     Ac(on:  Press   Reconnect/ Connect   Result:  Populates   TM1  Server   drop-­‐down  list   Ac(on:  Select  a   TM1  Server   Result:  Shows   users  a  list  of   Cubes  in  the  TM1   Server  
  • 15.
    ©2015 IBM Corporation#ibmvision TM1  API:  Showing  Cubes  from  TM1  Server   §  TM1  Authen(ca(on  (BASIC)  and  CAM  Namespace   Authen(ca(on  (CAMNamespace)  are  supported  for  all  TM1   Server  API  calls.  
  • 16.
    ©2015 IBM Corporation#ibmvision TM1  API:  Cube  Views,  Subsets,  Hierarchies,  Aliases   List  Views  for  the   selected  Cube   Get  Row   Subset(s)   Get  Column   Subset(s)   Get  Title  Subsets   (aka  Contexts)   Find  out  aliases   used  for  every   Dimension   subset   Get  hierarchy   informa(on  and   business  rules  
  • 17.
    ©2015 IBM Corporation#ibmvision  TM1  API:  Cube  updates,  text  in  Crosstab  cells   Cell  updates   reflected  straight   away   Text  in  crosstabs  
  • 18.
    ©2015 IBM Corporation#ibmvision Support  for  TM1  and  non-­‐TM1  data   Na(ve   Mainframe   VSAM  connector   (DB2  on  z/OS   coming  soon)   Other  data   sources  (e.g.   CSV,  DB2  on   LUW,  SQL   Server,  Oracle)   Social  Data   (TwiFer,  News,   Blogs)   TM1/TM1  Web  
  • 19.
    ©2015 IBM Corporation#ibmvision 1.5 2.0 NextReleases Connectivity: IBM Cognos TM1, DVS, VSAM z/ OS, DB2 LUW, Social (Darwin Eco) Analytics: Cardinality, Outliers, Auto hierarchies Dashboarding: RAVE 1.1 Rocket  Discover  Roadmap:  IBM  specific   Connectivity: Cloud sources (Web Services/REST), Bluemix, Netezza Analytics: Forecasting, decision tree, SPSS (Bluemix) Connectivity: MultiValue (Universe/Unidata), DB2 z/OS, Cognos BI SDK, IBM BigInsights Collaboration: Storypoints, Alerts, IBM Connections Analytics: Correlations, Segmentation/clustering Dashboarding:, RAVE 2.0 extensibility Reporting: ‘Lite’ Reporting/Ad-hoc Query Other: Freemium, Hosted Trial (IBM Cloud)
  • 20.
  • 21.
    ©2015 IBM Corporation#ibmvision Example:  Dynamic  Dashboard  updates  
  • 22.
    ©2015 IBM Corporation#ibmvision Example:  TM1  data  in  KPIs,  Charts,  Maps  
  • 23.
    ©2015 IBM Corporation#ibmvision IBMRapidly Adaptive Visualization Engine RAVE Engine Visualization "Description"
  • 24.
    ©2015 IBM Corporation#ibmvision Extensible  VisualizaMon  provides  a  growing  range   of  visualizaMon  opMons   The  Challenge:   – New  requirements  for  visualiza(ons  are  constantly   emerging     – Each  requirement  is  unique  and  is  difficult  to  meet     The  Solu.on:     – Provide  a  wider  variety  of  visualiza(ons  with  the                                                                   means  to  extend  and  customize  
  • 25.
    ©2015 IBM Corporation#ibmvision Composable  Set  of  Chart  Features   Element Type • Point, line, area, interval (bar), polygon, schema, text • Each element can be used with any data (numeric, category, time …) • As many elements on a chart as you like Coordinates • Any number of dimensions can be defined, with a chain of transformations • Clustering and stacking • Polar • Transpose • Map projections Aesthetics • Map Data to Graphic Attributes. • Works on all elements • Color (exterior, interior, works with gradients) • Size (width/height/both) • Symbol • Dashing, General Styles • Label, Tooltip, Meta Layouts • Graph Layouts (Network, Treelike) • Treemaps • Custom Layouts Faceting • Chart-in-chart • Paneling Guides • Simple Axis • Nested Axis • Facet Axis • Legend
  • 26.
    ©2015 IBM Corporation#ibmvision 2 IBM  RAVE  Example:  Bubble  Chart  
  • 27.
    ©2015 IBM Corporation#ibmvision Rocket  DVS  –  Data  VirtualizaMon  for  IBM  zIIP     SQL JDBC/ODBC/ DRDA NoSQL MongoDB API Services SOAP/REST/ HTML Web HTTP Events CDC/Data Streams Rocket Data Virtualization Server Map/Reduce  Query   Op(miza(on   Parallel/IO   Data  Mapping   Caching   Design Security Metadata Monitoring Web/ Mobile Analytics, SearchESB, ETL Transactional Data Landing Zones Oracle     Infor mix   Derby   DB2   LUW   SQL   Server   Big   Insights   Big  SQL   Mongo DB   Cloud   Data   Adaba s   VSAM   Sequen( al   DB2  for  z/ OS   CICS   IMS       Natur al   IDMS   IBM  Federa(on   Server  IBM     IDAA   IBM     Pure   Data   Landing Zones Hadoop   Clouda nt   DataStage   IBM   IDAA   IBM zIIP Specialty Engine Requesting Client Applications BATCH CICS Other Started Task IMS
  • 28.
    ©2015 IBM Corporation#ibmvision Rocket  DVS  in  Rocket  Discover  
  • 29.
    ©2015 IBM Corporation#ibmvision Summary  –  Rocket  Discover   §  Designed  for  business  users,  consumers  of  TM1  data   §  Supports  Cloud/On-­‐Premise,  Linux  and  Windows  Server   §  Designed  to  minimize  services/training  requirements   §  Support  for  TM1  and  non-­‐TM1  data   §  Self-­‐paced  training  via  extensive  ac(ve  eLearning  modules   §  Na(ve  connec(vity  preserves  TM1  hierarchies  and   business  rules,  leverages  fast  performance  of  TM1  engine   §  Extrac(ng  TM1  data  to  load  into  3rd  party  Data  Discovery   tools  is  not  an  op(mal  approach  for  most  situa(ons  
  • 30.
    ©2015 IBM Corporation#ibmvision For  More  InformaMon:   FOM-­‐1106  The  Benefits  of  Business  Partner  Authored   Pre-­‐Built  TM1  Applica(ons     Hilton  Bonnet  Creek  –  Palm  Beach     Tue,  19-­‐May  10:00  AM  -­‐  11:00  AM       1097A  Hands-­‐on  Lab  with  IBM  Cognos  TM1  SDK  –  REST,   Java  and  IBM  Cognos  TM1  Web     Hilton  Bonnet  Creek  -­‐  Dade     Wed,  20-­‐May  09:00  AM  -­‐  12:00  PM      
  • 31.
    ©2015 IBM Corporation#ibmvision SupporMng  Material   Rocket  Discover  30  Day  Trial   Ø  Register  for  the  trial     Ø  Watch  the  eLearning  Tutorials   Ø  Join  the  Conversa(on  on  the  Rocket  Discover  Forum   Ø  Par(cipate  in  the  Discovering  New  Insights  contest.  The  winner  receives  an   Apple  Watch   Interested  in  Learning  More   Ø  Inforgraphic  –  The  Game  of  Self-­‐Service  Intelligence   Ø  Rocket  Discover  Brochure   Ø  Rocket  Discover    &  IBM  Cognos  TM1  Brochure   Ø  IDC  Dat-­‐a-­‐Glance:  Self-­‐Service  BI  and  Data  Discovery   Feedback  Channel   Ø  Contact  the  Discover  Team  at  rocket-­‐discover@rocketso/ware.com  and  share   your  opinion  on  Rocket  Discover  and  the  30  Day  Trial.     © 2014 Rocket Software, Inc. All Rights Reserved.
  • 32.
    ©2015 IBM Corporation#ibmvision eLearning:   hYp://www.rocketsoGware.com/product-­‐families/rocket-­‐discover     §  Navigation Overview: hFp://www3.rocketso/ware.com/discover/naviga(on.html   §  Introducing Dashboard: hFp://www3.rocketso/ware.com/discover/intro-­‐dashboards.html   §  Editing a Dashboard: hFp://www3.rocketso/ware.com/discover/edi(ng-­‐dashboard.html   §  Drilling into Data: hFp://www3.rocketso/ware.com/discover/drilling-­‐into-­‐data.html   §  Data Preparation: hFp://www3.rocketso/ware.com/discover/data-­‐prepara(on.html   §  Sharing and Collaborating: hFp://www3.rocketso/ware.com/discover/sharing-­‐collabora(ng.html   §  Using TM1: hFp://www3.rocketso/ware.com/discover/tm1.html  
  • 33.
    33   Thank  You!   Patrick  Spedding   Managing  Director,  BI  R&D   Rocket  SoGware     pspedding@rs.com @spedding www.rocketsoftware.com Rocket Software Group @Rocket Ronnie  Rich   Product  Manager  IBM  Cognos  TM1   IBM    
  • 34.
    34   Presenter  Name  Here,   Presenter  Mtle  here   Thank You! Your Feedback is Important Access the Vision 2015 Event CONNECT Attendee Portal or hFp://vision2015survey.com   to complete your session surveys from your smartphone, laptop or conference kiosk.