18th Athens Big Data Meetup - 1st Talk - Timeseries Forecasting as a Service
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The document describes PwC Greece's capabilities and services in data and analytics, showcasing innovative approaches to forecasting using advanced analytics and big data technologies. It emphasizes the importance of accurate demand forecasting and decision-making for business efficiency and growth, highlighting automated solutions like the Intelligent Forecasting Platform. Additionally, it discusses the integration of various technologies to optimize forecasting accuracy and operational decision-making.
![PwC 16
[Presentation Title]
#PwC 16
Intelligent Forecasting Platform](https://image.slidesharecdn.com/18thathensbigdatameetup-1sttalk-191127182405/85/18th-Athens-Big-Data-Meetup-1st-Talk-Timeseries-Forecasting-as-a-Service-16-320.jpg)
![PwC 18
[Presentation Title]
#
Our solution at a glance
18PwC – Athens Big Data Meetup
Data quality
validation
Add client-specific
business intelligence
Pre-processing
steps
Generate
consensus forecast
Perform data quality
checks and verify desired
data quantity in order to
deliver a base forecast
within 2-5 business days.
Perform anomaly
detection and smoothing
for a client dataset as well
as timeseries
categorisation.
Identify market or client-
specific factors that need
to be taken into account to
improve forecast accuracy
(indicatively: SKU
combinations,
competition, temperature,
GDP growth index, promo
calendar, etc.).
Produce the best possible
forecast per SKU
combination.
Provide forecasting and
model performance
through BI dashboarding
tool.](https://image.slidesharecdn.com/18thathensbigdatameetup-1sttalk-191127182405/85/18th-Athens-Big-Data-Meetup-1st-Talk-Timeseries-Forecasting-as-a-Service-18-320.jpg)
![PwC 19
[Presentation Title]
#PwC 19
Real-time Streaming](https://image.slidesharecdn.com/18thathensbigdatameetup-1sttalk-191127182405/85/18th-Athens-Big-Data-Meetup-1st-Talk-Timeseries-Forecasting-as-a-Service-19-320.jpg)
![PwC 21
[Presentation Title]
#
Our solution at a glance
Sensors measure
Temperature, Humidity
& Pressure data, rating
and classifying results
using a combination of
critical values Data is loaded in a
cloud-based Azure
infrastructure
Live streaming &
processing of
actual data using
Big Data
technologies
Live ML based
prediction of
potential future
data Rear-time
monitoring using
geolocation
features
AI based corrective
actions algorithms
are produced if a
critical combination
of values is
identified.
21PwC – Athens Big Data Meetup](https://image.slidesharecdn.com/18thathensbigdatameetup-1sttalk-191127182405/85/18th-Athens-Big-Data-Meetup-1st-Talk-Timeseries-Forecasting-as-a-Service-21-320.jpg)
18th Athens Big Data Meetup - 1st Talk - Timeseries Forecasting as a Service
- 1. November 2019 Timeseries Forecasting as a Service
- 2. Agenda 1. Who we are & What we do 2. Big Data & more: Our Point of View 3. Forecasting in Real Life 4. Demo Time
- 3. PwC 3 Who we are & What we do 1
- 4. 4PwC – Athens Big Data Meetup Sergios Koutavidis Senior Manager, Data & Analytics PwC Greece Iosif Beloukas Director, Head of Data & Analytics PwC Greece Thanassis Spyrou Manager, Data & Analytics PwC Greece With you today… Angeliki Chatzimoschou Associate, Data & Analytics PwC Greece Filip Duricic Associate, Data & Analytics PwC Greece
- 5. 5PwC – Athens Big Data Meetup Our Data & Analytics team at a glance is currently consisting of more than 25 professionals, providing services within Greece and abroad PwC Greece Data & Analytics (D&A) team Our Assets Digital Transformation Professionals Data Scientists Data & Software Engineers Project Managers Visualisation Experts Proprietary IP (Products, Algorithms) Big Data Infrastructure Product Managers PwC Network Analytics Professionals
- 6. 6PwC – Athens Big Data Meetup Our capabilities range across the whole spectrum of D&A operations, leveraging advanced analytics methods and innovative technologies… Integration – Data Transformation Advanced Analytics We unify various data sources, perform ETL processes to prepare them for analysis We use statistical, machine learning, computational and optimisation techniques Business Intelligence We leverage a range of analytical tools to uncover insight Big Data We design end-to-end solutions adjusted to business needs Azure Data Factory
- 7. 7PwC – Athens Big Data Meetup …aiming to offer services of the highest quality through a state-of-the-art operating model Azure DevOps Forecast Sales (Project O) Calculate Something (Project N) Calculate Something (Project L) Calculate Something Deployment eventevent event event event event event event Stories Architecture Code
- 8. PwC 8 Big Data & more: Our Point of View 2
- 9. PwC PwC Turbocharge your cloud journey through Containers, Kubernetes and DevSecOps A Perfect Cloud Technology Storm is forcing organisations to respond AI/ML Serverless DevSecOps Kubernetes Microservices Containers 9PwC – Athens Big Data Meetup Big Data
- 10. 10PwC – Athens Big Data Meetup How the latest trends will lead to the next generation enterprise: Our approach ● Portable across platforms ● Lightweight ● Simple and Fast deployment ● Organized around business capabilities ● Modular, Resilient & API driven ● Seamlessly integrates with DevSecOps ● Delivery velocity @ scale ● Early detection and correction of code vulnerabilities ● Promotes culture of openness CONTAINERS MICROSERVICES KUBERNETES ● Opensource ● Provides rich feature sets ● Suitable for enterprise application deployments DEVSECOPS ● Promotes no-ops environment ● Pay for value ● Inherently scalable architecture ● Adaptable to any data related structure and problem changes ● API driven approach ● Deep integration with Azure analytics and security servicesSERVERLESS AI/ML ● Optimised data architecture design – microservices-based approach ● Automated and scalable data processing and modelling ● Compatibility across technologiesBig Data Adopting innovative technologies at scale can drive true business outcomes… ✓ Scalable and adaptive infrastructure ✓ Automated, strategic-based decision- making, utilizing large volumes of data ✓ Enhanced System & Modelling Performance ✓ Cloud-based resource cost management ✓ Technology agnostic enterprise solutions
- 11. PwC 11 Forecasting in Real Life 3
- 12. 12PwC – Athens Big Data Meetup Forecasting in Business: The right questions to ask each organisation 12PwC – Athens Big Data Meetup ❑ How predictable is your demand? ❑ Are you using the optimal algorithms? ❑ Could you forecast at a micro level? ❑ What new data could you use to improve accuracy? ❑ What is the best accuracy you can hope to achieve?
- 13. 13PwC – Athens Big Data Meetup So, how can an organisation optimise their accuracy to drive true business outcomes… By continually testing and refining how they forecast… Segment demand into predictable micro clusters at SKU and location level Test and assign the optimal algorithms to each micro cluster Define where human intervention is required and where the machine works best Continually test impact of exogenous factors Learn from each planning iteration and measure how close you got to optimal accuracy
- 14. 14PwC – Athens Big Data Meetup …and ultimately harness data-led insight in the whole spectrum of decision-making? Forecasting may enable not only strategic decision-making by facilitating decisions that may impact an organisation’s demand planning strategy and the realisation of its marketing objectives… …but also operational decision- making by managing decisions on day-to-day operations, often in real-time, aiming to achieve a new, sustainable and significantly higher operational efficiency level
- 16. PwC 16 [Presentation Title] #PwC 16 Intelligent Forecasting Platform
- 17. 17PwC – Athens Big Data Meetup Demo Time: Providing rapid demand planning insights in a volatile world, aiming to enable organisations make optimal decisions and reinforce their growth rate Challenge Enable organisations make optimal decisions about their supply chain and satisfy their customer needs through the production of accurate forecasts. Solution • The IFP is comprised of an automated time series forecasting engine, whose job is to discover, train and make predictions using the best time series model for any given time series. • The second core component of the platform is a web application, through which a user can configure, diagnose, execute, visualise and interpret forecasts created using the engine. Benefit The solution allows organisations to gain insights on future demand through a fully automated solution, which could be integrated with any existing ERP and CRM systems, requiring minimum human intervention.
- 18. PwC 18 [Presentation Title] # Our solution at a glance 18PwC – Athens Big Data Meetup Data quality validation Add client-specific business intelligence Pre-processing steps Generate consensus forecast Perform data quality checks and verify desired data quantity in order to deliver a base forecast within 2-5 business days. Perform anomaly detection and smoothing for a client dataset as well as timeseries categorisation. Identify market or client- specific factors that need to be taken into account to improve forecast accuracy (indicatively: SKU combinations, competition, temperature, GDP growth index, promo calendar, etc.). Produce the best possible forecast per SKU combination. Provide forecasting and model performance through BI dashboarding tool.
- 19. PwC 19 [Presentation Title] #PwC 19 Real-time Streaming
- 20. 20PwC – Athens Big Data Meetup Demo Time: Measure, analyse and visualise sensor-data from wind turbines in real-time, aiming to produce alerts in case of potential high-risk conditions Challenge Enabling organisations prevent machine failures or other risks as early as possible, through sensor- data monitoring, in order to quickly take counter-actions and assure production performance. Solution Technology and Analytics technics used for the implementation of our solution: • Internet of Things (IoT) • Live Streaming • Big Data • Advanced ML based Forecasting algorithms • AI based correction actions • Cloud infrastructure Benefit • Processing and insights of large volumes of data • Real-time monitoring • Quick execution of forecasting • Prevention actions based on automated processes • Suggestion of preventive/corrective actions
- 21. PwC 21 [Presentation Title] # Our solution at a glance Sensors measure Temperature, Humidity & Pressure data, rating and classifying results using a combination of critical values Data is loaded in a cloud-based Azure infrastructure Live streaming & processing of actual data using Big Data technologies Live ML based prediction of potential future data Rear-time monitoring using geolocation features AI based corrective actions algorithms are produced if a critical combination of values is identified. 21PwC – Athens Big Data Meetup
- 22. PwC 22PwC – Athens Big Data Meetup The secret of change is to focus all of your energy, not on fighting the old, but on building the new." Socrates 22
- 23. 23PwC – Athens Big Data Meetup Q & A PwC – Athens Big Data Meetup
- 24. 24PwC – Athens Big Data Meetup Get in touch with us For more information, please contact: Iosif Beloukas Head of Data & Analytics, Director, PwC Greece E-mail: iosif.beloukas@pwc.com Konstantinos Kanistras Lead Data Scientist | Customer Insight, Manager, PwC Greece E-mail: Konstantinos.kanistras@pwc.com Sergios Koutavidis Lead Data Architect, Senior Manager, PwC Greece E-mail: sergios.koutavidis@pwc.com Thanassis Spyrou D&A Product Asset & Innovation Lead, Manager, PwC Greece E-mail: thanassis.spyrou@pwc.com Panagiotis Ballis-Papanastasiou Lead Data Scientist | Financial Modeling, Manager, PwC Greece E-mail: Panagiotis.ballis-papanastasiou@pwc.com
- 25. 25PwC Thank you! Copyright © 2019 PricewaterhouseCoopers Business Solutions. All rights reserved. This document has been created in the context of PwC’s Greece presentation to the Athens Big Data Meetup. The information sets out in it is an indication of our Data & Analytics point of view, methodology and services. This content is for general information purposes only and should not be used as a substitute for consultation with professional advisors. Any interested party should not act upon the information contained in this document without obtaining specific professional advice. The addressee also acknowledges that the information shared here within is intellectual property of PwC and is protected under the copyright laws of the Greece and other countries. It contains information that is proprietary and confidential to PricewaterhouseCoopers, and shall not be disclosed outside the recipient's company or duplicated, used or disclosed in whole or in part by the recipient for any purpose other than to evaluate this document. Any other use or disclosure in whole or in part of this information without the express written permission of PricewaterhouseCoopers is prohibited. This presentation has been prepared using data and assumptions from a variety of sources. No representation or warranty (express or implied) is given as to the accuracy or completeness of the information contained herewith, and, to the extent permitted by law, PwC does not accept or assume any liability, responsibility or duty of care for any consequences of the Company or anyone else acting, or refraining to act, in reliance on the information contained in this document or for any decision based on it. Moreover, provision of the presentation and its results does not absolve any recipient from conducting its own audit in order to verify its accuracy and reliability. We do not assume responsibility for the content of this document for third parties. PwC refers to the Greek member firm and may sometimes refer to the PwC network. Each member firm is a separate legal entity. Please see www.pwc.com/structure for further details. PwC Greece helps organisations and individuals create the value they’re looking for. We’re a member of the PwC network of firms in 158 countries with more than 250,000 people who are committed to delivering quality in assurance, tax and advisory services. We have premises in Athens and Thessaloniki and over 1,000 employees. Tell us what matters to you and find out more by visiting us at www.pwc.com/gr.