City Data Tools: Build or Buy?

Similar documents
Building the Foundation for Digital Insurance. An IDC InfoBrief, sponsored by CSC and EMC September 2016

Advanced Analytics in Service Operation Management WHAT IF? Data Analytics For IOT

Oracle Buys DataScience.com Adds Leading Data Science Platform to the Oracle Cloud, Enabling Customers to Fully Utilize Machine Learning

Intelligent Process Automation. The key to automating, orchestrating, and optimizing the modern workplace

SMART ENERGY SERVICES

TRANSFORMING RETAIL. RINGING UP GREATER PROFITS Exceed consumer expectations. Keep your brand promise.

Business Intelligence: Build it or Buy it?

Accelerate Digital Transformation by Connecting Your Manufacturing and Supply Chain Data

need digital transformation

Why Connecting to the Internet of Things Project List

The Internet of Things: Unlocking New Business Value. Let Oracle energize your business with IoT-enabled applications.

ACHIEVE INNOVATION WITH CONNECTED CAPABILITIES Connected Product Maturity Model. white paper

SUPPLY CHAIN TRANSFORMATION FOR THE INTELLIGENT ENTERPRISE: Driving New Growth

ARTIFICIAL INTELLIGENCE IN AEROSPACE AND DEFENSE FROM AMBITION TO ACTION

What s Behind VPVision? next generation vehicle telemetry V 1.0

When the Status Quo Means Getting Left Behind. Accelerating Analytics Platform Adoption through Evolving Technology

Getting smarter. How smart services are disrupting the manufacturing industry

DLT AnalyticsStack. Powering big data, analytics and data science strategies for government agencies

The Next Level Industrial Revolution. Top 10 Business Opportunities in Manufacturing IoT

WHITE PAPER SPLUNK SOFTWARE AS A SIEM

ADVENT ONE. The Dynamic Demands of IoT in a Connected World

HRIS 2018 Market Overview

WHITEPAPER ARKESSA ENABLES ENTERPRISE IOT

A Practical Approach to IoT: 3 Manufacturers Explain How

M2M CONNECTIVITY PLATFORMS FOR ENTERPRISE BUSINESSES. White Paper

DIGITAL OUTLOOK AUTOMOTIVE INDUSTRY

OPTIMIZING GOVERNMENT

INTRODUCTION TO THINGWORX. Petr Holy Head of Sales Eastern Europe. February 2 nd, 2016

Intelligent transport without limits

I D C T E C H N O L O G Y S P O T L I G H T

Communications in the Cloud:

Winning in the Digital Economy A CIO s Perspective. Christine Ashton, SAP S/4HANA Cloud March 01, 2017

AUTOMATE YOUR ORGANIZATION

Insights & Ingenuity. Digitalizing the food and beverage industry

Accenture and Salesforce. Delivering enterprise cloud solutions that help accelerate business value and enable high performance

GUIDEBOOK ADAPTIVE INSIGHTS

Enterprise Asset Intelligence & Opportunities for Growth

Accenture Business Journal for India Shaping the Future with As-a-Service:

Business Insight and Big Data Maturity in 2014

IBM Software Services for Lotus To support your business objectives. Maximize your portal solution through a rapid, low-risk deployment.

3 Myths about IoT in Logistics

Understanding the Strategic Value of AI for ITSM 4 Ways AI Is Driving Digital Transformation for the Enterprise. Presented By:

2017 Microsoft Cloud and Hosting Summit

A MAC is Good, but a MAIC is Better

WHITE PAPER FAST ANALYTICS OVER SLOW DATA

Digital Transformation: Right Here, Right Now!

TECHNOLOGY DISRUPTION THE RISKS AND OPPORTUNITIES FACING INDUSTRIAL BUSINESSES

Deliver All Analytics for All Users Through a Single Product in the Cloud

itsmf Annual Conference 2012

Siemens. MindSphere. The cloud-based, open IoT operating system.

The cloud-based, open IoT operating system

Luxoft and the Internet of Things

REMOTE MONITORING IN THE AGE OF THE CLOUD

Industrial IoT: From Concept to Business Reality. Improving O&G Operations with IoT. Progressing through the 5 Stages of IoT

CASE STUDY: COMMERCIAL EQUIPMENT BUILDING AN INDUSTRIAL IoT STRATEGY

DXC Eclipse Retail Transformation:

Making Predictive Maintenance Work By Bob O Donnell, TECHnalysis Research President

Exploring IoT Business Opportunities In Manufacturing By : Jim Brown President Tech-Clarity

Beyond the hype: RPA uncovered The Arvato way

Deliver All Analytics for All Users Through a Single Product in the Cloud

WIN BIG WITH GOOGLE CLOUD

COGNITIVE BUSINESS. Digital Intelligence meets Digital Business. pietro della peruta Direttore Tecnico IBM Italia IBM Distinguished Engineer

Indoor GPS for Material Handling and Warehousing

data driven collaboration in automotive Stefan Schilling Principal Car IoT & Data September 2016

THE CIO OF THE FUTURE

CONNECTED TRAFFIC CLOUD. A New Approach to Intelligent Traffic Management

The Chief Digital Officer s Guide to Digital Transformation. The Essential Role of APIs in Today s Digital Business Landscape

Be a Hero in Boom Times Not Just in Bust Times

End User Experience Monitoring Improves Workforce Productivity for Riverbed and Our Customers

Top 5 Ideas for Small to Medium Size Businesses to Radically Reduce their IT Costs

Table of Contents. Are You Ready for Digital Transformation? page 04. Take Advantage of This Big Data Opportunity with Cisco and Hortonworks page 06

Accelerate Your Riverbed

The Bottom Line: Mobility in the Age of Big Data February 2018

Enterprise the new CSP growth opportunity

PHP in the enterprise How Zend helps modernize application development to bring projects to market faster

The 5 Minute Wind Forecasting Challenge: Exelon and GE s Predix

Control Anything. Gain Insights. Connect Things. Action. 10% of the data on earth will come from IoT by B connected devices by 2020

Creation of MaaS market. Tekes 12 January 2017

ENDLESS POSSIBILITIES WITH DATA FOR RETAIL, CPG AND LOGISTICS

Four IoT Platform Must-Haves That Can Accelerate Your IoT Deployment

The Transformation Imperative for Small and Midsize Companies

Image Itron Total Outcomes

FOR TOMORROW TRANSFORMING FINANCE ARGYLE WEBCAST BRIEF

Enable Business Transformation In Banking & Financial Services Organizations through Connected Devices. Arvind Radhakrishnen.

software Microsoft Azure and /n software Help Blueforce Deliver Critical Field Data in Counter-Terrorism and Military Operations

Mastering VoIP. How to Pick the Right VoIP Provider. Easy as 1, 2, 3

The Media Industry at the Digital Crossroads Artificial Intelligence to the Rescue?

Government Business Intelligence

EXPERIENCE EVERYTHING

SpECIal EdItORIal FEatuRE, In association WItH CIO. Service-based software powers ahead

TRAVEL GUIDE. Exploring the benefits of using a MSP for application management

Internet of Everything

VIA Insights: Telcoms CONNECT to Digital Operations

Employee Experience Essentials

Ways to Transform. Big Data Analytics into Big Value

JDA 2018 Intelligent Manufacturing Survey

Recording TCO Cook Book 7 Ways to Reduce TCO and Improve Business Operations

Guide Superfast Broadband technology and the manufacturing sector

Extend your brand reach with M2M

Gain Greater Insight and Facilitate Actions. Brochure Analytics & Big Data

Transcription:

City Data Tools: Build or Buy?

City Data Tools: Build or Buy? Preparing your city for the rise of real-time data Open data portals in cities are not a new thing, but many portals today have limited machine readability and therefore limited business value... the city becomes smart when the data is collected and governed in a way that can produce valuable real-time streams, rather than just backward-looking statistics or reports. GARTNER, DECEMBER 2016 1 MORE DEVICES, MORE DATA Smart infrastructure is coming to cities --- and fast. By 2020, urban IoT installations will grow to 9.7 billion devices, up from 1.7 billion in 2017 (an increase of over 470 percent). 2 These technologies hold the promise of changing cities for the better -- making them more productive, efficient and enjoyable places to live. These benefits can only be realized when a city is able to ingest, store, distribute, analyze and act upon the large amount of data generated by smart infrastructure. New smart infrastructure devices will reach their full potential only by communicating to each other in real-time. For example, smart traffic lights can help alleviate traffic on their own, but when they can communicate in concert with public safety software and emergency response vehicles, they can do much more -- from dynamically rerouting traffic in response to an accident, to clearing the road for emergency response teams to arrive as quickly as possible. Most cities are unprepared to handle multiple streams of realtime data to gain insights and take action. Existing data platforms and open city data portals are often difficult to leverage as data sets are irregularly updated, only available as flat files and cannot be easily combined. Furthermore, if cities are unprepared for data to be centralized and real-time, they may find themselves with multiple vendor-specific tools that cannot talk to each other. 1 City Data Tools White Paper STAE.CO 2018

CLOUD CONTROL The growth of data in every connected city will rapidly outpace that of the general population or physical infrastructure. At the same time, the storage of this data is naturally moving away from a model of onsite hosting (92% percent of all generated data will be in the cloud by 2020 3 ) and cities will find themselves increasingly relying on third party services to host and distribute the real-time data generated by smart infrastructure. Without leveraging an advanced data platform cities are unable to use the same world-class tools that are deployed at scale in many of the most successful companies in the world, and this problem will only become more pronounced as cities purchase smart devices that produce increasing amounts of real-time data. Nearly every Fortune 500 company uses realtime data and analytics to drive complex business decisions. Furthermore, for a typical Fortune 1000 company (average value is ~$5.1 billion dollars or the yearly budget of Houston, TX), just a 10% increase in data accessibility has resulted in more than $65 million additional net income. ANTICIPATING EMERGENCE It may prove that the future livelihood of the city actually depends on the exchange of real-time data. In the last ten years, services like Uber and AirBnB have extended and distributed city services by commodifying data exchange itself. What new business models will emerge next that will require cities to be able to tap into and properly tax streaming services? On the other hand, the same technology that can help enhance cities can be harmful if not regulated. For example, in a city of autonomous vehicles where self-driving cars can roam unoccupied in the streets, who needs to pay for parking anymore? And how will a city recoup that revenue? Similar scenarios are likely to unfold in the years to come and cities in command of their data will be better poised to adapt to the emergence of new technologies and businesses that will disrupt the standard model of commerce and taxation. Cities are faced with a future where they must adopt an enterprise-grade data platform in order to effectively manage their infrastructure and plan for the future. And the question cities find themselves asking is: Do we build our own real-time data platform or do we buy one? Below, we explore the process of choosing two paths. 1 Gartner, Gartner Predicts Fifty Percent of Citizens in Large Cities Will Share Personal Data With Smart City Programs by 2019, December 2016 2 Gartner, Gartner Says Smart Cities Will Use 1.1 Billion Connected Things in 2015, March 2015 3 Cisco, Cisco Global Cloud Index: Forecast and Methodology, 2015 2020, 2016 4 Baseline, Surprising Statistics About Big Data, February 2014 2 City Data Tools White Paper STAE.CO 2018

PATH 1: Build Your Own Data Management Platform Building a custom data management and analytics platform is a big project, even for established tech companies. Accurate estimates of the total cost are key. Asking these questions can help determine the short and long-term costs of ownership: DO YOU HAVE THE INTERNAL EXPERTISE? Building a scalable data analytics stack requires specific expertise in ETL (Extract, Transmit, Load) and distributed computing architectures. Before considering building your own data management platform you should consider if you have that expertise on your team, and if not, how long it will take to find and hire the right talent. Data scientists and data engineers are among the most in-demand and wellcompensated roles in tech. 5 DO YOU HAVE THE RESOURCES? If you have the expertise, do you have the time? A full data management and analytics platform can take months or even years to ship. Decide if it s worth waiting or if you can achieve your goals faster with a purchase. You should also consider the importance of other projects are you willing to take engineers away from other projects to build something bespoke? WILL YOUR DATA BE PUBLIC-FACING? If you plan to expose real-time data to the public, are you well-positioned to support it? What is your SLA (Service Level Agreement) with public users and what security levels need to be enforced? Be certain you have factored in the total cost and accountability of supporting a public-facing portal for real-time data. WILL YOU BE ABLE TO SCALE? Data platforms are especially susceptible to scope creep and cost overruns. When Gartner assessed the big data initiatives of 199 companies, they found that while nearly three quarters of organizations had invested or planned to invest in big data, the majority of the projects were indefinitely delayed in pilot phases. The diagnosis was that too many initiatives were being built with ad-hoc technologies and infrastructure that are not created with production-level reliability in mind. 6 5 Forbes, The Highest-Paying Tech Jobs Right Now, April 2016. 6 Gartner, Gartner survey reveals investment in big data is up but fewer organizations plan to invest, October 2016 3 City Data Tools White Paper STAE.CO 2018

PATH 2: Buy an Off-the-Shelf Data Management Tool A city may decide that the total cost of ownership for building their own data management platform exceeds its budget or inhouse abilities. When considering a third-party solution, this list of criteria is helpful to consider: WILL YOU HAVE REAL-TIME ACCESS? Real-time access is required to gain the true benefit of the emergent city data. Does the solution you are considering support true real-time API access, and if it does, is there an additional cost? CAN THE TOOL DO WHAT YOU NEED? Make sure the tool supports your use cases from the onset. Many support data storage, flat file export, API access, self-service API management, business intelligence and data visualization, but few support all of those features. CAN THE TOOL GROW WITH THE CITY? The right tool should able to adapt to a city s evolution. Make sure that any features you may need in the near or long-term future are supported or on the product s roadmap. CAN YOU TAKE YOUR DATA WITH YOU WHEN YOU LEAVE? You want your data to be available when the contract with the company is over. Data should always belong to the city and be easy to migrate or export at any time. IS THE PARTNER FOCUSED ON CITIES? If it isn t, how important is city data management compared to the company s core business interest? Many large, stable enterprise companies may have a data management offering, but the intricacies of city data, onboarding city workers, and ensuring public accountability may not be a core competency. 4 City Data Tools White Paper STAE.CO 2018

Learn more about real-time city data tools at stae.co or reach out to us at we@stae.co White Paper