CA Kairos workshop

1. 1
18th April 2016
Predictive Accountant Briefing

2. Large complex process with IT
sales focus on savvy IT buyer
Structured data
On-premises
Large capital purchases – CAPEX
Ongoing costs of real estate,
electricity
Large technology companies with
vast array of tech resources
Focus on accountant and client needs
Data and analytics is “new oil”
Rise of diverse and unstructured data (big
data)
Increasing importance of alternative data
sources
e.g. Google , Bing, CRM, ERP, CSV, text, Open
Gov
and new data sources e.g. mobile payment
readers
Emergence of Cloud/SaaS
Less tech resource more focus on clients and
online revenues
Instantaneous upgrade cycle eliminates downtime
Breakthrough client experiences
Smaller OPEX (operating expense) purchases
Simple pricing
Mix and match with open-source (e.g. R &
Power BI, Apache Spark ) TCO: 1/3 of
traditional costs
Fragmented and agile
CA Kairos ecosystem via OData
Amazon, Google, Microsoft Azure, IBM
Technology
Acquisition
Primary Data
Deployment
Landscape of
Service
Providers
POST CA KAIROSBEFORE CA KAIROS
Type of
Purchase

3. • A great NZ invention !
• Powerful statistical programming language
• Most widely used data analysis software
• 2M+ data scientists, statisticians and analysts
• Creates unique data visualizations
• New York Times, Twitter and Flowing Data
• Thriving open-source community
• Leading edge of analytics research
• Fill talent gap with new grads
• Highest paid IT skill (Dice.com, Jan 2014)
• Most-used data science language after SQL (O’Reilly, Jan 2014)
• Used by 70% of data miners (Rexer, Sep 2013)
• #15 of all programming languages (RedMonk, Jan 14)
• Growing faster than any other language (KDnuggets, Aug 13)
Open Source R

4. Key Drivers Informing Our Th
1.New ways of looking at traditional accounting data (&
client)
2.Innovation from new data sources built on
democratisation of data solving new problems
3.Predictive capability of big data (correlations & data
science)
4.Systems of Insight - connect insight to process and
applications (machine engineering)
5.Embedded analytics, messaging and mobile impacts
client experience

5. (Day Month Year) Presentation Title 5