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

Size: px
Start display at page:

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

Transcription

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

2 MANY QUESTIONS FACT: DATA is at the epicenter of the digital enterprise. THE VALUE OF ADVANCED ANALYTICS TO SERVICE OPERATIONS MANAGEMENT No other innovation is creating more DATA than the Internet of Things (IoT). IoT is a collection of network connected physical objects and machines. They have embedded identifications, sensors, and software that can provide an understanding of where they are, what they re doing and what s going on around them. These devices, billions of them, are spewing data at an amazing rate. But here s the shocker: Industry watchers estimate that 0.5% to 1% of all data available to a business is ever analyzed and used. WHAT CAN YOU LEARN FROM IOT DATA? WHAT IS STRATEGY FOR UTILIZING IOT DATA? HOW CAN YOU ACT ON REAL TIME DATA? 2

3 IOT - MORE THAN THE DATA Industry experts say that ANALYTICS is the key to unlocking the potential of data and specifically data from IoT. IoT smart devices generate an enormous amount of data. The challenge is to capture and filter the most significant to separate the signal from the noise. WHAT IF IOT DATA ANALYSIS COULD BE AUTOMATED AND THEN INTEGRATED INTO OPERATIONAL SYSTEMS? Managers and workers could anticipate what s next. Managers and workers could make decisions and take actions faster. Automated data analytics take the abundance of data and transforms it into IMMEDIATE answers. Businesses rely on operations and operations improve with automated data analytics. 3

4 WHAT IS YOUR STRATEGY FOR IOT DATA ANALYTICS? FOCUS How will data analytics benefit your business? UNDERSTAND how analytics will impact culture and operations ASSESS if the datacenter technology can support the plan (compute, storage and network) will the big data infrastructure involve moving storage to the cloud DETERMINE the plan for accessing internal and external data how you will ensure quality and security IDENTIFY what skills you will need are they already in house or will you get them from the outside by hiring or outsourcing CONSIDER data quality requirements and governance DEVELOP use cases and IMPLEMENT the solution Analytics is ESSENTIAL and the benefits are within your reach. WITH SO MUCH POTENTIAL WHY AREN T COMPANIES DOING MORE WITH THE DATA? 4

5 YOUR IOT STRATEGY - ENABLED BY VITRIA VIA by VITRIA specializes in agile analytics. Vitria celebrates twenty plus years of providing solutions which transform business process management and application delivery across distributed enterprises. Building on this legacy, VIA by Vitria is an agile analytics solutions providing VIA! Anytime IoT data can be rapidly capture, screened, and analyzed, the underlying business process can be automated and optimized. WHAT IF YOU COULD BOOST PRODUCTIVITY, PREDICT REVENUES AND PROVIDE EXCELLENT CUSTOMER SERVICE? Making use of analytic insight to drive action during EVERYDAY operations is the KEY to improving business outcomes. V I A VISIBILITY. INSIGHT. ACTION. JOMEI CHANG CEO, Co-Founder Vitria 5

6 WHO BENEFITS FROM ANALYTICS? Industry experts report that ANALYTICS is the key to unlocking the potential of data and specifically data from IoT. VIA customers are leveraging the scale and power of cloud computing and using analytics to extract value from the increasing volume and complexity of data. By deploying VIA, these companies are moving from big data architectures and using conventional BI to implementing real time analytics to improve operations. Service oriented businesses like energy, telecommunications, cable operators optimize operations on the fly! Call center agents, field technicians, logistics planners, manufacturing managers and maintenance crews are EMPOWERED TO ACT and ACT FASTER! WHAT ARE YOU DOING WITH YOUR IOT DATA? 6

7 TURNING OBSTACLES INTO OPPORTUNITIES? There are many reasons preventing companies from extracting value from their IoT data. The Resource Challenge: The market demand for resources skilled in data analytics is exceeding supply The Access Challenge: High numbers of diverse data sources - some batch and some streaming The challenge of real time data: Never ending flow of IoT data always coming FAST and constantly refreshing The DIY challenge: Bulding your own platform with available tool kits requires more TIME and MONEY than you have As the business world enters the major adoption phase of Internet of Things (IoT) solutions and platforms, real-time, streaming analytics will come to center stage. In IoT, the volume, variety, and velocity of data means that data must be analyzed in real- time or its value will quickly perish. How will you beat the clock to compete and win with analytics? WE SAID WHAT CAN WE DO TO HELP COMPANIES INITIATE ANALYTICS PROJECTS QUICKLY AND AT SCALE? 7

8 WE ASKED - WHAT IF? WHAT IF THE VOLUME AND VELOCITY OF IOT DATA WAS NO LONGER A CONCERN? WHAT IF YOU COULD INVOKE TIMELY ACTIONS BASED ON ANALYSIS OF BATCH AND STREAMING DATA? WHAT IF YOU COULD UNIFY ALL TYPES OF ANALYTICS INTO ONE, AGILE ANALYTICS ENGINE? WHAT IF YOUR ANALYTICS PLATFORM PROVIDED INGEST OF DATA AND A DATA LAKE PURPOSE BUILT FOR ADVANCED ANALYTICS? WHAT IF NON-PROGRAMMERS COULD COLLABORATE WITH A FEWER NUMBER OF DATA SCIENTISTS TO CREATE ACTIONABLE ANALYTICS IN REAL TIME? WHAT IF YOUR BUSINESS OPERATIONS AND LOBS HAD THE VISIBILITY AND INSIGHTS TO MAKE FUTURE PREDICTIONS AND PRESCRIBE ACTIONS IN THE MOMENT? 8

9 VIA DESIGNED FOR THE CITIZEN ANALYST AND CITIZEN DEVELOPER Vitria engineers have crafted an analytics platform using the most reliable of modern technologies. No scientists required. Instead VIA by Vitria provides the Analytic DATA FLOW (ADF). This is a purpose- built analytics engine which accelerates IoT analytics development at a lower cost and with less risk. The ADF includes: Visual Development Environment: feature visual models that require little or no coding enabling non- programmers to build solutions quickly by contributing their knowledge of the business design the analytics you need to gain insight and take action Functional building blocks: completely customizable and reusable building blocks - as you take on new projects, your library grows Analytic Flow Engine: a run time environment that processes all types of data and analytics. VIA is cloud based and scales to handle huge volumes of diverse data from any IoT platform. VIA integrates with your data sources and ingests data easily into the VIA data lake or your big data architecture for analysis. VIA s agile analytics enables you to combine descriptive, predictive and prescriptive analytics, utilize batch and streaming data, leverage machine learning and AI technologies VIA - INTELLIGENT ACTIONS IN REAL TIME. 9

10 ANALYZE AND ACT IN REAL TIME The traditional role of analytics was primarily focused on answering what happened or perhaps why it happened in certain advanced cases. Historical and descriptive analytics served an important role, but their utility was limited to understanding events and issues after the fact. The emergence of Data Lakes as part of the movement towards increased usage of unstructured data enhanced the baseline capabilities of historical, descriptive, and diagnostic analytics, but many kinds of business issues and challenges remained unsolved. For example, knowing why a machine broke down, or why a sale did not occur in the past is no doubt helpful, but not nearly as profitable or useful as knowing in real-time and preventing the problem in the first place. In IoT, as data flows in real time in high volume, managers need real-time predictions about what the incoming data means for current operations. Doing this requires predictive models that can be updated in real-time. In addition, the platform or solution must do prescriptive analytics to recommend the next best action to capture value before it disappears. In IoT, the volume, variety, and velocity of data means that data must be analyzed in real-time or its value will quickly perish. VIA by Vitria is an agile analytics solution that meets all these demanding requirements for optimizing IoT. This is the VIA value! 10

11 A RAPID PATH TO INSIGHTS AND ACTIONS BETTER OUTCOMES Fast Innovation Cycle Low-code/no-code development Self-service BI/OI Faster time to solution SMARTER ACTIONS Prescriptive analytics for next best action Intelligent (automated) actions Alerting and notifications FASTER ANALYTICS Fast data ingestion Fast Advanced Analytics descriptive, predictive, prescriptive Fast operationalization of models 11

12 WHAT IF YOU MADE THE DECISION TODAY TO FOCUS ON HOW USING DATA WILL IMPROVE YOUR BUSINESS? WHAT IF YOU MADE THE CHOICE TO VISUALIZE, TO GAIN INSIGHT, AND TAKE ACTION TO WIN MORE BUSINESS, DELIGHT CUSTOMERS AND IMPROVE BOTTOM LINE RESULTS PROFIT FOR YOUR SHAREHOLDERS? WHAT S HOLDING YOU BACK? Call today for a free consultation. Watch how VIA agile analytics makes everyone an analyst! DEMO?