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Analyzta_Presentation V1

  1. What’s Your Data Story™ ?
  2. 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?
  3. 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.”
  4. 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.”
  5. 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.”
  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 your data 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 lets you optimize your business and drives your organization to high performance
  10. UNCOVER YOUR DATA STORY -- 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 Analyzta Solutions & 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 business intelligence 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/ 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
  16. 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
  17. 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
  18. Data Story and Insights -> 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 FROM COMPLEX DATA TO VISUAL DATA ANALYTICS
  22. Analyzta Project Samples FROM COMPLEX DATA TO VISUAL DATA ANALYTICS
  23. Analyzta Project Samples FROM COMPLEX DATA TO VISUAL DATA ANALYTICS
  24. 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
  25. 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
  26. Unit 2C JJACCIS Building, Acacia Ave., Madrigal Business Park, Ayala Alabang, Muntinlupa City, Philippines Thank You
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