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Copyright 2015 PCCW Solutions Ltd. All rights reserved.
Strategic Decision Making
based on Real-Time
Data Analytics
Version 2.1 May 2016
Copyright 2015 PCCW Solutions Ltd. All rights reserved.
2
• Characteristics of a High-Performer
• Big Data Challenges
• Fast Data to Insight
• Analytics Solution / Service Offerings
Content
Copyright 2015 PCCW Solutions Ltd. All rights reserved.
3 Characteristics of a High-Performer
High-performers obtain critical information within the decision window 80% of the time in which a decision window is the period of time when information is valuable for a choice at hand.
What makes a high-performer?
High-performers take 18 days on average to integrate a new data source into the business intelligence system.
68% of high-performers have real-time data integration capabilities.
52% of high-performers automate data capture process
High-performers take 114 days on average to complete a new business intelligence project.
The findings of high-performers leverage data capabilities based on a number of researches conducted by Aberdeen Group in 2014,
Copyright 2015 PCCW Solutions Ltd. All rights reserved.
4 Big Data Challenges
Archives: Scanned documents, statements, forms, print stream files, etc.
More data from more sources than ever
Docs: XLS, PDF, CSV, DOC, PPT, HTML, XML, JSON, plain text file, email, etc.
Media: Videos, images, audio, streams, etc.
Data Storage: SQL databases, NoSQL, Hadoop, doc repository, file systems, etc.
Business Apps: CRM, ERP, CMS, SCM, HRM, web portals, etc.
Public Web: Government, weather, census, Wikipedia, etc.
Social Media: Facebook, LinkedIn, Twitter, Weibo, Blog, YouTube, Instagram, etc.
Machine Log Data: Event logs, server data, application logs, audit logs, CDRs, clickstream, etc.
Sensor Data: Mobile devices, smart meters, car sensors, medical devices, road cameras, etc.
Source: datafloq, November 2014
Copyright 2015 PCCW Solutions Ltd. All rights reserved.
5 Big Data Challenges
So many data sources, so little time
79%
78%
43%
31%
31%
19%
0% 10% 20% 30% 40% 50% 60% 70% 80% 90%
Internal structured data (e.g. customer, product, material data)
Transactional application data (e.g. ERP, CRM, SCM)
Internally-generated unstructured data
Externally-generated unstructured data
Internet-generated data (e.g. social media, customer sentiment)
Sensor / machine-to-machine data
Frequently Used Data Types
Source: Aberdeen Group, September 2014
n = 205
Copyright 2015 PCCW Solutions Ltd. All rights reserved.
6 Big Data Challenges
So many data sources, so little time
79%
78%
43%
31%
31%
19%
0% 10% 20% 30% 40% 50% 60% 70% 80% 90%
Internal structured data (e.g. customer, product, material data)
Transactional application data (e.g. ERP, CRM, SCM)
Internally-generated unstructured data
Externally-generated unstructured data
Internet-generated data (e.g. social media, customer sentiment)
Sensor / machine-to-machine data
Frequently Used Data Types
Source: Aberdeen Group, September 2014
n = 205
The Internet-of-Things will continue
to swell data volumes and increase
demand for faster data delivery
Copyright 2015 PCCW Solutions Ltd. All rights reserved.
7 Fast Data to Insight
You must go faster!
Even the most profound and
detailed analysis of gigantic data
sets is meaningless if it occurs too
late and opportunities are gone.
Copyright 2015 PCCW Solutions Ltd. All rights reserved.
67%
43%
33%
57%
Top performers
All others
Integration Approach
Real-time integration capabilities Batch-oriented integration only
8 Fast Data to Insights
Integration determines the speed
Source: Aberdeen Group, July 2014
n = 97
Copyright 2015 PCCW Solutions Ltd. All rights reserved.
9 Analytics Solution / Service Offerings
A data-centric approach Adapting to your needs on a single platform
Low up-front
investment
Low Total Cost of
Ownership (TCO)
Industry
expertise Shorter time to
market
Proven infrastructure
and support
Single platform for
data integration
Data analytics
consulting services
Copyright 2015 PCCW Solutions Ltd. All rights reserved.
10 Analytics Solution / Service Offerings
Infinitum Analytics Solutions All our analytics solutions on Infinitum are built to help mid-market customers adopt business analytics solutions that are quick-start, feature-rich, production-ready, and cost-effective and do not require the complexity of procuring and maintaining either hardware of software licenses.
Traditional Data Sources Unstructured Text Data
Unstructured Video Data
Traditional Data Sources Unstructured Text Data
Unstructured Video Data Unstructured Audio Data
Sensor Data
Social Media Analytics
Enterprise Analytics Platform
Retail / Customer Analytics
Video Analytics People Counting
Video Analytics Crowd Management
Signage Audience Analytics
Personalized Recommendation Engine
Prescriptive Business Process Decision Making
Intelligent Inventory Management
Copyright 2015 PCCW Solutions Ltd. All rights reserved.
11 Analytics Solution / Service Offerings
Social Media Analytics Aka social listening or social media monitoring
Capture and analyze the social conversations of a brand, its services and its competitors on popular social media channels such as Facebook, YouTube, Weibo, discussion forums and news sites
Capture the true voice of their customers about sentiment towards the company’s brands, products, services and marketing campaigns; and purchase preferences and opinions
Value Proposition Increase Customer Satisfaction
Protect brand image by monitoring and taking actions to manage brand issues and PR crisis
Engage unhappy customers on social media and other offline channels Improve products and enhance customer touch points by analyzing customers’
opinions of products and services
Increase Revenue
Improve marketing campaign effectiveness by closing the feedback loop
Copyright 2015 PCCW Solutions Ltd. All rights reserved.
12 Analytics Solution / Service Offerings
Video Analytics Use cost-effective IP-cameras and machine learning algorithms to
detect objects and recognize faces, estimate gender, race, age group, emotion, stay duration, flow traffic, etc.
Able to complement and correlate other analytics solution for advanced analytics
Not for military use
Value Proposition Increase Revenue
Capture and study real customer behaviors in real-time Measure impressions for high-return product display or rent determination
Optimize Cost
Effectively allocate staff and resources based on real-time monitoring
Increase Customer Satisfaction
Improve customer services by knowing your customer
Copyright 2015 PCCW Solutions Ltd. All rights reserved.
13 Analytics Solution / Service Offerings
Retail / Customer Analytics Draw customer insight from machine learning algorithms on customer
profile and behavior data
Empower end-users to use interactive data visualization to analyze data in real-time for better decision making
Provide the right information to the right customer at the right time through the right channel
Value Proposition Increase Revenue
Boost marketing campaign effectiveness and conversion rate Unlock and estimate the customer lifetime value
Optimize Cost
Effective and efficient planning supported by data-based forecast
Increase Customer Satisfaction
Produce personalized marketing campaigns or target marketing
Copyright 2015 PCCW Solutions Ltd. All rights reserved.
14 Analytics Solution / Service Offerings
To be a high performer
1. Discard traditional data warehousing
notions and embrace automation to
streamline processes and free up IT
resources
2. Continuously improve and adopt
automation in order to bring down the
integration and implementation times
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