The Business Analytics Modernization Assessment · PDF fileThe Business Analytics Modernization Assessment ... Business Analytics Modernization Assessment ... critical success factors,

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Copyright © 2014, SAS Institute Inc. All rights reserved.Copyright © 2014, SAS Institute Inc. All rights reserved.

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The Business Analytics Modernization Assessment (BAMA):

Listen, then Diagnose and Prescribe for Analytics Value

Roger Shears, Advisory Business Solutions Manager

BEST

PRACTICEBusiness Analytics Modernization Assessment

Overview:

Two and a half day on-site discovery session focused on understanding the client’s business and IT objectives, key initiatives, existing information management and analytics architecture, top challenges, and priorities.

Process:

• Review current business requirements, timeframes, critical success factors, and key business metrics (e.g. customer retention, customer acquisition).

• Review operational data sources to support business priorities.

• Review analytical priorities, strategy, process, and gaps.

Deliverables:

• Roadmap to optimize the client’s current and future IT-enabled analytical process.

• Projected business benefit resulting from proposed analytical architecture and process improvements.

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Copyright © 2014, SAS Institute Inc. All rights reserved.

Strategic Analytics Capability Roadmap

People Process

Business

Driver

Customer

Objective

Results

Framework for the Business Analytics Modernization Dialogue

BUSINESS ANALYTICS MODERNIZATION ASSESSMENT (BAMA)

MODERNIZATION

Accuracy Governance Scalability

Economics

Challenges

Data TechnologyCulture

Actions &

EngagementsInfrastructure

Evaluation

Mechanism

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BAMA scope

Review and provide recommendations on:

• Business Analytics

− Advanced analytics

− Content delivery

− IT infrastructure

− Data management

− People and Processes

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BAMA milestones and timelines

• Fine tune agenda timings and duration

• Identification of Workshop participants

• Meeting facilities and dates

Week 0 - Sponsor alignment pre-call

• Distribute agenda

• Collect material including Workbooks

• Book workshop rooms, equipment, and people

Week 1 & 2 –Coordinate workshop

• Sponsor meetings

• Business workshops

• Technical workshops

• Present high-level findings and recommendations

Week 3 - On-site workshops

• SAS compiles report with findings, recommendations& best practices

• Coordinate early draft reviews with key contact

• Schedule final review meeting with sponsors

Week 4 & 5 - Finalize assessment report • Present final key

findings

• Present final recommendations

• Present target roadmap

Week 6 - Final presentation

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BAMA suggested attendees

Executive Sponsor

IT

• DBA

• Security administrators

• Database developer

• Enterprise metadata personnel

• ETL personnel

• Enterprise architects

Business

• SAS administrators

• Business users

• Lead SAS developer(s)

• Business process modelers

• Business/systems analysts

• Content Delivery personnel

• Lead modelers/analytic experts

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Before the BAMA workshop The Pre-assessment Workbook

• Layout (64 questions mapped to 8 dimensions and two measures)

• Definitions

− Metric Groupings

– Productivity

– Governance

– Timeliness

– ROI

– Effectiveness

– Accuracy

– Empowerment

– Maturity

− Measures

– Value

– Urgency

• How the book “works”

• How to read the graph

Copyr i g ht © 2012, SAS Ins t i tu t e Inc . A l l r ights reser ve d .

Copyr i g ht © 2012, SAS Ins t i tu t e Inc . A l l r ights reser ve d .

QUESTIONS ROI

1 The cost of inaccuracy is high and has a significant impact on profitability, market share and the ability to meet competitive pressures.2 There is little correlation between the cost of our technology and the value we receive from it.14 Costs within my organization are transparent and well understood.15 Key stakeholders generally agree on the benefits of new initiatives.20 Cost/benefit analysis for new initiatives is well documented.29 Our product offerings and services have remained relatively unchanged for a long period of time.30 We have the right amount of analytical talent in our organization to address critical business challenges.37 We could really benefit as a company if we could react faster to market changes or opportunities.42 Repeatable operational functions are typically not defined, documented, standardized or communicated.43 We need to get more value out of the current technology we have.46 I typically have all the information I need to make effective business decisions.51 We have difficulty analyzing data in a timely manner.56 A lot of costly business decision mistakes have been made in the past.59 Upper management strongly advocates or promotes analytics.63 End users are adequately trained in the software to analyze data.64 Most of our marketing efforts focus on either large customer segments or definitions of group membership rather than customized

approaches or micro-targeting.

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Workshop Agenda

SET THE STAGE, LISTEN, DIAGNOSE AND PRESCRIBE

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BAMA understanding the analytical lifecycle

Leading organizations who leverage and grow their business with analytics do so in the context of the analytics lifecycle

This lifecycle is important as it:

• Gives insight to the customer on how much of it they follow today

• Enables dialog on what areas they can improve and grow

• Helps define needed resources and skills

IDENTIFY /

FORMULATE

PROBLEM

DATA

PREPARATION

DATA

EXPLORATION

TRANSFORM

& SELECT

BUILD

MODEL

VALIDATE

MODEL

DEPLOY

MODEL

EVALUATE /

MONITOR

RESULTS

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BAMA topics covered during the workshop

Why The come to work each day…

Business Needs

Timeframes

What Constitutes Success?

The Lay of the Land

Current Systems Review

(Analytics Focus)

Current Infrastructure

Current Process Flow

Current Software

Performance Perception

• Decisions

• Information Presented

Insight

• Data Transformed to InformationAnalytics

• Data Fit For Problem

• Data Credibility

• Operational DataData

Business View of an Application

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BAMA topics covered during the workshop

What Keeps Them from Sleeping?

Data Acquisition Issues

Analytic Insight Issues

Content Delivery Issues

Is It the End of the Tunnel or a Train?

Future Business Issues

Future IT Issues

Future Process Issues

• Decisions

• Information PresentedInsight

• Data Transformed to InformationAnalytics

• Data Fit For Problem

• Data Credibility

• Operational Data

Data

IT View of an Application

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Workshop Agenda

SET THE STAGE, LISTEN, DIAGNOSE AND PRESCRIBE

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Outcomes of the BAMA

Summary of Key Findings

Key Business Requirements and Priorities

Strengths and Challenges (now/future/real/perceived)

Key Processes – data/information/process gaps

Recommendations

Short, Medium and Longer-term

Deliverables

PowerPoint PRIOR to Exit

Full Document within 10-15 Business Days

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‘TO BE’

People

Process

Technology Culture

Vision

Medium-term Longer-termShort-term “We promise to be a bold,

innovative leader that empowers

our customers to compete and

prosper.”

‘AS IS’

Data

BAMA summary recommendations roadmap

Visual Analytics

training for Loyalty

and AE Reporting

personnel

Consider

usage of SAS

services for

Advanced

Analytics

needs

Deploy Self Service

Analytical Exploration

and Reporting

Leverage investment in SAS Visual

Analytics in Loyalty and HR reporting

(timesheets)

Explore usage of

SAS Fraud Analytics

to augment fraud

Use data mining to determine

cardmember and employee attrition

predictors and actions Implement SAS In-DB

Data Quality

Use analytics as operational

driver for Call Center interactions

Consolidation

and expansion

of analytics

expertise in

ACE

Pilot the usage of

Visual Analytics for

AE and Loyalty

Reporting with

automation of data

management (ready

for EDW)

Investigate value of

In-Database (TD) data

quality for EDW

hygiene

Form Executive Analytics

Steering Committee

Centralize analytics

governance with

Model Manager

Collaborate on Analytics

Center of Excellence (ACE)

best practices

Investigate SAS

ABM for P&L and

cost reduction Explore benefits of

data federation and

MDM for analytics

pre and post EDW

Internal

Analytics

Certification

Differentiate

based on

value of

Advanced

Analytics

Tailored SAS Executive

Briefing based on

Assessment results

Investigate SAS Data

Management and Quality

for source file ETL

Marketing

Optimization

Deploy analytics to

Call Center as

managed business

rules for real time

customer

interactions

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After workshop FINAL RECOMMENDATIONS REPORT

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Best practices HIGH LEVEL RECOMMENDATIONS

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ANALYTICAL ROLES, RESPONSIBILITIES AND PROCESSBest practices

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Company Confidential - For Internal Use Only

Copyright © 2013, SAS Insti tute Inc. Al l r ights reserved.

ENTERPRISE ANALYTICS ARCHITECTURE: HADOOP

MEDIUM CONFIGURATION2B

SAS®

ARCHITECTURE

MODERNIZATION

HPA Suite SAS® LASRTM Suite

SAS

Mid-

Tier

SAS

Metadata

Hadoop

Cluster

SAS

Embedded

Process

SAS Grid

SAS Rack

ENTERPRISE ANALYTICS ARCHITECTURE: HADOOP

MEDIUM CONFIGURATION

SAN

Company Confidential - For Internal Use Only

Copyright © 2013, SAS Insti tute Inc. Al l r ights reserved.

SAS ARCHITECTURE

MODERNIZATION

SAS Compute Hadoop Cluster

SAS Metadata SAS Mid-Tier SAS Grid HPA Suite SAS LASR Suite Cloudera or

Hortonworks

RHEL 6.5 RHEL 6.5 RHEL 6.5 RHEL 6.5 RHEL 6.5 RHEL 6.5

1 OS instance

(minimum)

1 OS instance

(minimum)

2 OS instances 4 OS instances 4 OS instances Min 4 servers

2 sockets / server

(min)

2 sockets / server

(min)

4 sockets / server 4 sockets / server 4 sockets / server Intel Xeon E7-

4890 v2 or Intel

Xeon E5-2690 v2

Starting at 128 GB

per OS instance

Starting at 128 GB

per OS instance

Starting at 256 GB

per OS instance

256 - 512GB+ per

OS instance

(min. 1600MHz)

256 - 512GB+ per

OS instance

(min. 1600MHz)

Min

256GB/server

8+ active cores

per OS instance

8+ active cores

per OS instance

Up to 60 active

cores per OS

instance

Up to 60 active

cores per OS

instance

Up to 60 active

cores per OS

instance

Hadoop Cluster

Starts at 800GB

SSD per OS

instance

Starts at 800GB

SSD per OS

instance

Starts at 4 PCIe

1.6TB SSD per OS

instance -

reference SAS

I/O and file

system

Starts at 6 data

SSDs for Local

(800GB each)

Starts at 6 data

SSDs for Local

(800GB each)

Intel® SSDs

Cloudera HadoopHortonworks

HadoopThird Party

Impala, Core

Components,

Cloudera

Manager

Ambari, HDFS,

MapReduce,

Nagios, Ganglia,

Hive

Ganglia, MS

Office 2013,

PuTTy,

MobaXterm

SAS Configuration

HPA Suite, SAS LASR Suite (SAS In-Memory Statistics

for Hadoop, SAS Visual Analytics, SAS Visual

Statistics), SAS Grid Manager, SAS Data Management,

SAS Enterprise Model Management, SAS In-Database

Code Accelerator, SAS Data Quality Accelerator, SAS

Scoring Accelerator, SAS/ACCESS® Interface to

Hadoop, SAS/ACCESS Interface to Impala, SAS Office

AnalyticsThe sample architecture referenced in the table above is for informational purposes only, is not a

performance benchmark, and does not constitute a performance guarantee. SAS and Intel recommend that

customers engage in a formal sizing exercise before acquiring hardware.

Enterprise Analytics Architecture - Medium Hadoop

All servers are Intel® Xeon® processor E7-4890 v2 (2.8GHz, 15C) and are 4 socket except where 2 socket is

indicated. Multiple OS instances may share a single physical machine to best leverage resources. Intel

recommends 2 Boot Intel SSD DC S3700 Series - 200GB per OS instance running SAS.

Total Intel SSD DC P3700 Series with NVMe - 1.6TB: 4+, Total Intel SSD DC S3700 Series - 800GB: 14+, Network

recommendation: 10Gb Ethernet minimum.

SAS In-MemorySAS Administrative Foundation

Enterprise Analytics Architecture - Storage and Network

Enterprise Analytics Architecture - Software

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Next steps ENGAGING WITH SAS BAMA TEAM

Contact your Account Executive

Americas: Roger Shears – [email protected]

EMEA/AP: Adrian Jones - [email protected]

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Documents

The Business Analytics Modernization Assessment · PDF fileThe Business Analytics Modernization Assessment ... Business Analytics Modernization Assessment ... critical success factors,