What’s
Your
Data
Story™
?
What’s
Your
Data
Story™
?
Is your data dispersed in
multiple systems and
difficult to utilize?
Do your original
reports fail to serve
constantly changing
business demand?
Is your data growing
rapidly, but a little
bit is used for
business analysis?
Does your manual
data processing result
in a heavy workload,
low accuracy, and
poor security?
Projects get stuck with fragmented data from multiple systems,
different consumer touch points and various business units.
“We have WAY TOO MUCH
DATA OUT THERE, we don’t even
know where to start.”
Manually working with spreadsheets wastes a lot of time and human
resources.
“It’s like being ATTACKED BY
SPREADSHEETS. Before we can
even begin decrypting data, we’re already out
of time.”
Non-visual data strategies overwhelm frequent data users resulting in
counterproductive, non-democratized and expert-reliant data systems
“ OUR DATA system as it is
now IS ROCKET SCIENCE TO
US. We depend on our data expert to make
sense of the information we have.”
[ ] [ ] [ ]
OPINION-BASED
Self-Reliant
Want Can
Want
Can
Speed to Opinion
(Weeks/Month)
Speed to Insight
(Seconds/Minute)
8% 80%
PEOPLE
TIME
EXPERIENCE
Conventional
DATA-DRIVEN
!
The Data Divide
Our Mission
unleash your data and turn it into advantage
ADVANTAGEWe help you
The Analyzta
ACD/Dialer
IVR
Chat
E-mail
CRM / ERP
Helpdesk
Homegrown
QA
WFM
HR / Finance
DATA TRANSFORMATION
PRESCRIPTIVE ANALYSIS
AUTOMATION
IDEAL STATE AND DESIRED GOAL
UNIFIED BUSINESS INTELLIGENCE SYSTEM
Transform your organization into an optimum, automated and unified
BUSINESS INTELLIGENCE SYSTEM
PRESCRIPTIVE ANALYTICS lets you optimize your business and drives
your organization to high performance
UNCOVER YOUR DATA STORY -- Drive business productivity,
empowered decision-making and competitive edge
Your Data Story: Insights vs. Reports
Customizable Prescriptive Analytics
Actionable Business Intelligence
Uncover the story in your data
 Business environment
 History and trends
 Challenges
Gain valuable insights from history
 Drive business change
 Recommend actions
 Way forward and direction
Optimize business results
 Tailor-fit prescriptive analytics
 Resources optimization
 High performing organization
Consulting &
Training
Software
reselling
Analytics-as-
a-Service
Product
Development
CAPEX OPEX
Analyzta Solutions & Services
From limited possibilities to flexible partnerships
Consulting & Training
• Strategy
• Design
• Implementation
• Training
• Customer Support
Business Intelligence Consulting
 Understanding and analyzing your business environment through the power of data
 Tailot-fit business intelligence platform addressing your business strategy, needs & operations
 Best-in-class business intelligence software : Qlikview and Tableau
Analytics-as-a-Service
 End-to-end business intelligence platform from hosting, maintenance and support
 Subscription based model that reduces upfront capital expenditure
Analytics-as-a-Service
Customer
Database
External
Data
Analyzta Servers
Customer/ End User
*ETL
*ETL – Extraction, Transformation and Load
FLEXIBLE SERVICE OPTIONS:
End-to-end business solution
Dashboard Design -> Tools and Platform -> Data Hosting -> Deployment –> Support
Affordable subscription-based model
Analytics-as-a-Service
Data Science
and Advanced
Analytics
Data Science
 Problem solving and solutions-oriented approach with advanced analytics
 Utilization of proven data science methodology such as probability, algorithms among others
 Examples include :Understanding customer churn, Turning Support Calls into Sales in contact centers
Cross Industry Standard Process for Data Mining (CRISP-DM), Chapman et al.,
2000[http://en.wikipedia.org/wiki/Cross_Industry_Standard_Process_for_Data_Mining][ftp://ftp.software.ibm.com/software/analytics/sps
s/support/Modeler/Documentation/14/UserManual/CRISP-DM.pdf]
Strong collaboration
and partnership with
client
Takes up 80% of
project
Feature extraction,
data-driven
(statistical),
mechanistic (causal)
and hybrid models
Model validity and
predictive power
Dashboards, graphs
and data-visualization
Data Science
Data Story and Insights -> Prescriptive Analytics ->Actionable Business Intelligence
Methodology : Anomaly Detection, Network Maps, Clustering, Probability
Data Science
Analyzta Solutions & Services
Data : Insights + Decision + Action = Business Intelligence
Data : Algorithms + Business Model = Predictive Analysis
Services Options : Capex and Opex Models
Business Intelligence Consulting & Training
 Understanding and analyzing your business environment through the power of data
 Tailot-fit business intelligence platform addressing your business strategy, needs & operations
 Best-in-class business intelligence software : Qlikview and Tableau
Data Science
 Problem solving and solutions-oriented approach with advanced analytics
 Utilization of proven data science methodology such as probability, algorithms among others
 Examples include :Understanding customer churn, Turning Support Calls into Sales in contact centers
Analytics-as-a-Service
 End-to-end business intelligence platform from hosting, maintenance and support
 Subscription based model that reduces upfront capital expenditure
DISCOVERY PHASE
ANALYZTA + YOU
Analyzta Project Methodology
POST-PROJECT
SUPPORT
IMPLEMENT
&
DEPLOY
DATA
JOURNEY &
AUTOMATION
 Business environment
 History and trends
 Challenges
 Plan next steps
 Data collection
 Data mining
 Analytics & Algorithms
 Data automation
 Dashboard design
 Platform design
 UAT
 Deployment
 Training
 Customer support
Analyzta works with your organization every step of the way to ensure
shared successes
Analyzta Project Samples
FROM COMPLEX DATA TO VISUAL DATA ANALYTICS
Analyzta Project Samples
FROM COMPLEX DATA TO VISUAL DATA ANALYTICS
Analyzta Project Samples
FROM COMPLEX DATA TO VISUAL DATA ANALYTICS
Espoo, Finland
1 key resource
2 developer collaborators
Singapore
1 key resource
Alabang, Philippines
2 key resources
Hiring on-going
JEREME PINEDA
Founder, CEO
• Consulting & strategy
• Dashboard design
• Data mining, data science
FRANCIS LORENZANA
Co-founder, COO
• Project management
• Client relations
• Business operations
JORDAN LEE NOCHE
Head of IT
• Technology
• Cloud technology
• Database administration
HQ
Analyzta Management Team
What’s
Your
Data
Story™
Now?
From complex data
to unified, visual
Data Story™
From specialized
data delivery to
secure, open source
solutions
From spreadsheets
to Smart Analytics
From limited
possibilities to
Partnership-based
flexible terms
Unit 2C JJACCIS Building, Acacia Ave.,
Madrigal Business Park,
Ayala Alabang, Muntinlupa City, Philippines
Thank You

Analyzta_Presentation V1

  • 1.
  • 2.
    What’s Your Data Story™ ? Is your datadispersed in multiple systems and difficult to utilize? Do your original reports fail to serve constantly changing business demand? Is your data growing rapidly, but a little bit is used for business analysis? Does your manual data processing result in a heavy workload, low accuracy, and poor security?
  • 3.
    Projects get stuckwith fragmented data from multiple systems, different consumer touch points and various business units. “We have WAY TOO MUCH DATA OUT THERE, we don’t even know where to start.”
  • 4.
    Manually working withspreadsheets wastes a lot of time and human resources. “It’s like being ATTACKED BY SPREADSHEETS. Before we can even begin decrypting data, we’re already out of time.”
  • 5.
    Non-visual data strategiesoverwhelm frequent data users resulting in counterproductive, non-democratized and expert-reliant data systems “ OUR DATA system as it is now IS ROCKET SCIENCE TO US. We depend on our data expert to make sense of the information we have.”
  • 6.
    [ ] [] [ ] OPINION-BASED Self-Reliant Want Can Want Can Speed to Opinion (Weeks/Month) Speed to Insight (Seconds/Minute) 8% 80% PEOPLE TIME EXPERIENCE Conventional DATA-DRIVEN ! The Data Divide
  • 7.
    Our Mission unleash yourdata and turn it into advantage ADVANTAGEWe help you The Analyzta
  • 8.
    ACD/Dialer IVR Chat E-mail CRM / ERP Helpdesk Homegrown QA WFM HR/ Finance DATA TRANSFORMATION PRESCRIPTIVE ANALYSIS AUTOMATION IDEAL STATE AND DESIRED GOAL UNIFIED BUSINESS INTELLIGENCE SYSTEM Transform your organization into an optimum, automated and unified BUSINESS INTELLIGENCE SYSTEM
  • 9.
    PRESCRIPTIVE ANALYTICS letsyou optimize your business and drives your organization to high performance
  • 10.
    UNCOVER YOUR DATASTORY -- Drive business productivity, empowered decision-making and competitive edge
  • 11.
    Your Data Story:Insights vs. Reports Customizable Prescriptive Analytics Actionable Business Intelligence Uncover the story in your data  Business environment  History and trends  Challenges Gain valuable insights from history  Drive business change  Recommend actions  Way forward and direction Optimize business results  Tailor-fit prescriptive analytics  Resources optimization  High performing organization
  • 12.
    Consulting & Training Software reselling Analytics-as- a-Service Product Development CAPEX OPEX AnalyztaSolutions & Services From limited possibilities to flexible partnerships
  • 13.
    Consulting & Training •Strategy • Design • Implementation • Training • Customer Support Business Intelligence Consulting  Understanding and analyzing your business environment through the power of data  Tailot-fit business intelligence platform addressing your business strategy, needs & operations  Best-in-class business intelligence software : Qlikview and Tableau
  • 14.
    Analytics-as-a-Service  End-to-end businessintelligence platform from hosting, maintenance and support  Subscription based model that reduces upfront capital expenditure Analytics-as-a-Service
  • 15.
    Customer Database External Data Analyzta Servers Customer/ EndUser *ETL *ETL – Extraction, Transformation and Load FLEXIBLE SERVICE OPTIONS: End-to-end business solution Dashboard Design -> Tools and Platform -> Data Hosting -> Deployment –> Support Affordable subscription-based model Analytics-as-a-Service
  • 16.
    Data Science and Advanced Analytics DataScience  Problem solving and solutions-oriented approach with advanced analytics  Utilization of proven data science methodology such as probability, algorithms among others  Examples include :Understanding customer churn, Turning Support Calls into Sales in contact centers
  • 17.
    Cross Industry StandardProcess for Data Mining (CRISP-DM), Chapman et al., 2000[http://en.wikipedia.org/wiki/Cross_Industry_Standard_Process_for_Data_Mining][ftp://ftp.software.ibm.com/software/analytics/sps s/support/Modeler/Documentation/14/UserManual/CRISP-DM.pdf] Strong collaboration and partnership with client Takes up 80% of project Feature extraction, data-driven (statistical), mechanistic (causal) and hybrid models Model validity and predictive power Dashboards, graphs and data-visualization Data Science
  • 18.
    Data Story andInsights -> Prescriptive Analytics ->Actionable Business Intelligence Methodology : Anomaly Detection, Network Maps, Clustering, Probability Data Science
  • 19.
    Analyzta Solutions &Services Data : Insights + Decision + Action = Business Intelligence Data : Algorithms + Business Model = Predictive Analysis Services Options : Capex and Opex Models Business Intelligence Consulting & Training  Understanding and analyzing your business environment through the power of data  Tailot-fit business intelligence platform addressing your business strategy, needs & operations  Best-in-class business intelligence software : Qlikview and Tableau Data Science  Problem solving and solutions-oriented approach with advanced analytics  Utilization of proven data science methodology such as probability, algorithms among others  Examples include :Understanding customer churn, Turning Support Calls into Sales in contact centers Analytics-as-a-Service  End-to-end business intelligence platform from hosting, maintenance and support  Subscription based model that reduces upfront capital expenditure
  • 20.
    DISCOVERY PHASE ANALYZTA +YOU Analyzta Project Methodology POST-PROJECT SUPPORT IMPLEMENT & DEPLOY DATA JOURNEY & AUTOMATION  Business environment  History and trends  Challenges  Plan next steps  Data collection  Data mining  Analytics & Algorithms  Data automation  Dashboard design  Platform design  UAT  Deployment  Training  Customer support Analyzta works with your organization every step of the way to ensure shared successes
  • 21.
    Analyzta Project Samples FROMCOMPLEX DATA TO VISUAL DATA ANALYTICS
  • 22.
    Analyzta Project Samples FROMCOMPLEX DATA TO VISUAL DATA ANALYTICS
  • 23.
    Analyzta Project Samples FROMCOMPLEX DATA TO VISUAL DATA ANALYTICS
  • 24.
    Espoo, Finland 1 keyresource 2 developer collaborators Singapore 1 key resource Alabang, Philippines 2 key resources Hiring on-going JEREME PINEDA Founder, CEO • Consulting & strategy • Dashboard design • Data mining, data science FRANCIS LORENZANA Co-founder, COO • Project management • Client relations • Business operations JORDAN LEE NOCHE Head of IT • Technology • Cloud technology • Database administration HQ Analyzta Management Team
  • 25.
    What’s Your Data Story™ Now? From complex data tounified, visual Data Story™ From specialized data delivery to secure, open source solutions From spreadsheets to Smart Analytics From limited possibilities to Partnership-based flexible terms
  • 26.
    Unit 2C JJACCISBuilding, Acacia Ave., Madrigal Business Park, Ayala Alabang, Muntinlupa City, Philippines Thank You