This document discusses the potential of fast data analytics and streaming analytics. It describes how indoor location tracking requires streaming analytics and provides an example of using location data from beacons to optimize resource planning and customer experiences in real-time. The conclusion acknowledges that while the future is already here, these technologies have not been widely adopted yet. Software AG aims to help organizations apply these approaches.

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Drs Bart Schouw
Sr. Principal Solution Consultant – EMEA, APJ, LATAM
Internet of Things of Internet of Thingymabob?
Fast data-analytics gaat het verschil maken
Hans Heerooms
Sr. Solution Architect Intelligent Business Operations - Big Data

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Bron: Wired

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Wat is nu de uitdaging?

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De transformatie naar een digital enterprise

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Wat verlangt de consument?

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Buiten
Thuis
Op het werk
En wat moeten we dan hiermee?

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Wat zijn de
drie meest relevante aspecten voor context?

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Jackpot

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Jackpot

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Wat zijn de consequenties voor mijn architectuur?

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Een nieuwe generatie van streaming analytics
Complexity of extra- enterprise information
Fast, Big Data
Time window to analyse & act
Financial
Supply Chain
Logistics
CRM / CXM
Manufacturing
Fraud
Intelligent Hospital

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Forrester Wave Leader:
Streaming Analytics
Source: The Forrester Wave™: Big Data Streaming Analytics Platforms, Q3 2014, Forrester Research, Inc., July 17, 2014. The Forrester Wave is copyrighted by Forrester Research, Inc. Forrester and Forrester Wave are trademarks of Forrester Research, Inc. The Forrester Wave is a graphical representation of Forrester's call on a market and is plotted using a detailed spreadsheet with exposed scores, weightings, and comments. Forrester does not endorse any vendor, product, or service depicted in the Forrester Wave. Information is based on best available resources. Opinions reflect judgment at the time and are subject to change.

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Onze streaming architecture, in-memory
Streaming visualization
Streaming analytics & rules
In-memory data grid – fast reference data & analytics, scaling across machines
Low latency lightweight messaging for digital “fan in”

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Zijn er al eindklanten mee bezig?

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Locatie and Contextuele Promoties
Klant komt winkelcentrum
binnen
Uitgerold voor 35 miljoen klanten
•Vanuit Social Media wordt de klant ge-tagged met interesse voor sport
•Klant die van sport houdt komt winkelcentrum binnen
•Partner “Sports Bar” ziet vanuit zijn systeem dat hij capaciteit heeft
•Realtime push notificatie 15% korting op elke maaltijd de komende 2 uur
Enjoy 15% discount off any main meal at Sports Bar Diner in Wellington Mall this lunchtime
Real-time, One-to-One Marketing

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Komt dit je bekend voor?

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De Killer Applicatie: Indoor Location Analytics
Indoor Location Tracking vraagt om Streaming Analytics
Location Service
Location Service
Beacon Region

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Hoe ziet zo iets er dan in praktijk uit?

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Wat zijn de voordelen van Fast Data Analytics
-Optimalisatie resource planning op basis werkelijke situatie
-Combineren van nieuwe lokatie technieken geeft de kans om bezettinggraden te verbeteren of bijvoorbeeld energie kosten te verlagen
Omzet
Kosten
Risico
-Sneller reageren op klantvraag, vaak binnen seconden ipv minuten of uren
-Verhogen klant tevredenheid door direct inzicht in sentiment.
-Service’s afbakenen op locatie, tijd en rol
-Continue monitoren van governance en risico modellen ipv steeksproef gewijs.
-Toepassing van predictive modellen in realtime

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reserved.
Conclusie

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The future is here,
it’s just not widely distributed yet...
William Gibson (1948),
Canadeese Si-Fi schrijver en
introduceerde de term cyberspace.

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