board 10 presentation - cpmview · board 10 highlights data fast-track for self-service data...
TRANSCRIPT
3Better decisions. Better business.
BOARD 10 highlights
Data Fast-Track for Self-service data preparationBOARD Data fast-track automates data modelling, blending, loading and mash-ups.
BOARD CloudSaaS version of the full BOARD all-in-one platform
Also pre-packaged applications available:
BOARD FP&A (Financial Planning and Analysis)
BOARD FC (Financial Consolidation)
BOARD RFM (Recency, Frequency, Monetary)
New HTML 5 Technology
BOARD Analytic Functions
BOARD Connectors
5Better decisions. Better business.
BOARD Data Fast-Track
New self-service data preparation
Allows business users to create analysis in few clicks
from raw data
Smart data blending from different sources
Automatic discovery of hierarchies and measures
Built as an additional capability of the platform
!!!Not as a new product !!!
Full integration between BOARD enterprise data models, and user
created data models
Self-service data preparation
• Automatic data blending• Automatic recognition of cubes, dimensions, hierarchies
• Excel-like data manipulation
Business User Data Enterprise Data External Data
Flat File Departmental DB DWHERP, HP
Legacy SystemTraditionalBI solution
Cloud IOT Cloud Open-Data
ExcelCSVtxt
SAPNavision
JDE…….
SalesForceNetSuiteWorkday……..
LinkedinFactual
Gnip……
OracleIBM DB2MS SQL…….
OBIEESAP BO
IBM Cognos………
AccessMySQL…..
data.govdatabank
……
BOARD DATA Fast-Track
7Better decisions. Better business.
Data Fast-Track: Key features
Automatic discovery of: Codes
Descriptions
Measures
Dimensions
Hierarchies
Self-service data manipulation Excel like environment
Formulas
Cut and paste
Meta-data mapping and editing
Data blendingAutomatic merge of diverse data sources in a single data model
8Better decisions. Better business.
Data Fast-Track: how it works
Enables users to load a data set and analyse it immediatelyAn Excel or CSV file,
A SQL table/view,
or other data sources: open data, cloud and big data sources
Automatically creates “ready to use” data modelsScans the new file and detects the underlying model (dimensions,relationships...)
Incorporates learning: synonyms, mappings...are shared and reused
Loads it into a BOARD database
Automatically creates a screen with suggested analysis
Import exercise can be packaged and re-applied mechanically from «departmental environment» to the corporate environment.
WHO it is for: business users for «self-service data discovery»
IT users or business analysts for warp-speed prototyping
9Better decisions. Better business.
Fast-Track : a four-click journey!
Step 1 : Choose the file or dataset to load
10Better decisions. Better business.
Fast-Track : a four-click journey!
Step 2: give a name to the database
11Better decisions. Better business.
Fast-Track : a four-click journey!
Step 3: review FastTrack findings
12Better decisions. Better business.
Fast-Track : a four clicks journey!
Step 3 : review cubes, entities, relationships, mappings
13Better decisions. Better business.
Fast-Track : a four clicks journey!
Step 4: nothing to do here... just GO !
14Better decisions. Better business.
Fast-Track: a four-click journey!
And you land here: a self-built screen with a set of
recommended analysis charts and metrics
BOARD Cloud benefits
Intuitive and easy to
useDrag and drop interactive UI
Global in minutes
Availability of 11 data centers in 5 continents
Always up to date
Automatic upgrades
Reliable
Backed by AWS technology
Futureproof
Adaptive to your business evolution
Cost-effective
No infrastructure cost
BOARD Cloud infrastructure features
Private (dedicated) BOARD server on MS Azure or Amazon AWS
Sign-in through unified portal
AD federation for Single Sign-On support
Support for hybrid data source architectures
On-premise-to-cloud connector: connects local relational DBs to the
BOARD Cloud server. Doesn’t require firewall or network changes.
Cloud-to-cloud data connector
Native connectors for SaaS or Cloud data sources
Force.com platform, Oracle service cloud, MS Dynamics CRM, Sugar CRM,
Veeva CRM, Marketo, Google BigQuery
Generic web-services connector (OData/REST)
BigData No-SQL data sources : SAP Hana, Amazon Redshift, Hadoop Hive
BOARD Cloud applications
BOARD FP&A - Financial Planning and AnalysisA turnkey application that combines enterprise wide financial planning, budgeting, and
forecasting with self-service analysis, reporting, dash-boarding and analytics.
BOARD FC - Financial ConsolidationEnables companies to perform both legal and management consolidation within a single,
integrated BI and CPM environment to gain deep insights into financial and operational results
BOARD RFM - (Recency, Frequency, Monetary)A turnkey solution to segment customers by examining how recently they have purchased
(recency), how often they purchase (frequency), and how much each customer spends
(monetary). The clusters of customers created by BOARD RFM are then immediately available for
any further analysis, planning, or forecasting process.
22Better decisions. Better business.
Build Once, Deploy Everywhere
BOARD HTML 5 responsive technology provides consistent user experience across any device
23Better decisions. Better business.
Zero Impact Migration
«Open and run» migration to HTML 5 of any existing
BOARD capsule
Access BOARD Client capsules from any HTML 5 browser
24Better decisions. Better business.
HTML 5 benefits
Capsules developed with BOARD windows client can be immediately used with any HTML 5 browsers
Modern User Interface supporting gestures
Consistent user experience with Laptop, Tablet and Smartphones
Silverlight is no longer needed
Full support to mobile based planning processes
26Better decisions. Better business.
BOARD Analytic Functions
Rich set of out-of-the-box statistic and business
functions
28Better decisions. Better business.
BOARD connectors
Rich set of native connectors to a wide variety of data sources
including:
Relational Databases
(Oracle, MS SQLServer, IBM DB2, MySQL, Informix, PostgreSQL)
Column oriented DataBases
(SAP Hana, Teradata, Exasol, HP Vertica, Sybase IQ, Greenplum)
Big Data/NoSQL Databases
(Hadoop, Cassandra, Impala, MongoDB)
Cloud Applications and DB
(SalesForce, MS Dynamics, Amazon Redshift, FinanceForce, Google
Analytics, Google Big Query, Hubspot, SugarCRM, Eloqua, Marketo, )
Standard protocol (REST, OData)