SlideShare a Scribd company logo
1 of 10
Meniscus
advanced
energy
Analytics
Platform.
12 September 2016 www.meniscus.co.ukIf you think of it… We can deliver it!
Meniscus – Delivering data analytics to
the connected world
Meniscus analytics software provides high
performance, flexible and scalable cloud based tools
that quickly and easily lets you develop bespoke
applications to turn big (or small) datasets into the
calculated metrics you need for your business.
12 September 2016 www.meniscus.co.uk
MENISCUS
If you think of it… We can deliver it!
• Turning raw data into valuable information.
• Collecting data to identify problems early and to operate the sites more efficiently
and at lower cost.
• Automatically calculating performance metrics from operational data.
• A tool for delivering real time Big Data Analytics.
• Allows users to configure their own calculations.
• Giving you flexibility to easily adapt the system as your requirements change
12 September 2016 www.meniscus.co.ukIf you think of it… We can deliver it!
Data pushed to MAP
Information pulled
using RESTful API
Meniscus Analytics Platform
• Apply any calculation
• Deploy to tens of thousands of Things/Entities
• Real Time
• Generic
CLOUD BASED DATA ANALYTICS PLATFORM
12 September 2016 www.meniscus.co.uk
MAP KEY FEATURES
If you think of it… We can deliver it!
MODULES
Modules provide fully extensible functionality for Importing, Pre-Processing, Calculating,
Invalidating and Creating Items. Multiple instances of each module can run on separate
servers providing true scalability.
CALCULATION QUEUE
The Calculation Queue is a list of all Raw and Calculated Items that are due to be re-
calculated as a consequence of new data being received or an Item Property changing.
ALARMS
Configurable alarms for any Items or for the entire system.
REPORTS
Scheduled e-mailing of management reports. Only available as part of an overall
hosted service.
RESTful API
A fully featured RESTful Analytics API is available to configure, upload and download
your application.
UNLIMITED GROUPING HIERARCHY
For standard applications the Group hierarchy has up to four tiers. For larger corporate
applications, this hierarchy can have an unlimited number of tiers.
12 September 2016 www.meniscus.co.uk
5 STAGE PROCESS
If you think of it… We can deliver it!
Create an
Entity
Set up any
calculation
Replicate
the Entity
Upload
data
Download
metrics
• One Entity can have many Items
• Each Item has 7 Data Types: RAW,
CALC, TARGET, HCALC, LCALC,
COST & TARGETCOST
• Get as complex as you want
• 3 levels of complexity available
• First two configurable over web
• Use an Entity as a template
• Replicate as many times as you need
• Customise each Entity as required
• Can accept many formats
• Accept any granularity of data
• Combine data with different
granularity
• RESTful API
• Download metrics as often as you want
• Can push reports, alerts and data
12 September 2016 www.meniscus.co.ukIf you think of it… We can deliver it!
Process Energy Mgt +60
Water Treatment Plant
Calculation of 30 min values
of average energy use per Ml
flow per m head for each
pump set. Uses Weighted
Average calculation
Process Energy Mgt
+130 Water Boreholes
and Distribution sites
Process Energy Mgt
+400 Pumping stations
Process Energy Mgt +275
Wastewater Treatment
Plant
% deviation from dry
weather flow conditions.
Identifies blockages etc
Chemical monitoring and
comparison of dosing rates
to theoretical targets. Calc of
chemical dose rates
Energy monitoring against
flow based targets. Calc of
Moving average values.
Benchmarks against
average use
PAM – as per Wastewater.
Process energy benchmarks
across sites
Calc of virtual elec meters
for each process & sub
process from hours run. Calc
of flow, energy & process
benchmarks & KPI’s
Chemical monitoring and
comparison to theoretical
targets and quality limits.
Calc of chemical dose rates
Half hour electricity data. Daily
download of HH reads (D+1) for ~
700+ sites – 30 minute periodicity
Chemical data. Daily
download of tank levels,
dose rates for 50 sites – 15
minute periodicity
Hours run and kWh from
Telemetry. Daily download
of 15 min readings from ~
4,500 pumps and blowers
– 15 minute periodicity
CASE STUDIES
Energy, Chemical monitoring, Water Company hosts
Process data. Daily download of
~ 15Mb of readings at 15 min
intervals from Telemetry. Flow,
DO, pressures etc – 15 minute
periodicity
12 September 2016 www.meniscus.co.ukIf you think of it… We can deliver it!
WHAT ARE THE BENEFITS TO THE ENERGY
TEAM?
• Integrate complex analytics into your services
• Rapid development and deployment of solutions
• Flexibility to change as the solution ‘matures’
– Flexibility in the software
– Flexibility in how we deliver the service
• Ability to migrate from pilot to full scale deployment
12 September 2016 www.meniscus.co.uk
TRIAL ACCOUNT
If you think of it… We can deliver it!
To create your own application simply register for a trial account and follow these five easy steps.
You can use our powerful RESTful API to build these steps into your own applications.
Register for a free trial account
To register for a free trial account click the button:
Meniscus
advanced
energy
Analytics
Platform.
THANK YOU
If you think of it… We can deliver it!
Mike Everest – Director
+44 (0) 7977 540407
meverest@meniscus.co.uk
Dexter Fox – BDM
+44 (0) 7508 861823
dfox@meniscus.co.uk
Huntingdon Business Centre, Blackstone Road, Huntingdon PE29 6EF
+44 (0) 1480 433714

More Related Content

What's hot

SnapLogic Live: Workday Integration
SnapLogic Live: Workday IntegrationSnapLogic Live: Workday Integration
SnapLogic Live: Workday IntegrationSnapLogic
 
DS_2016_StreamAnalytix_real_time_streaming_analytics_platform
DS_2016_StreamAnalytix_real_time_streaming_analytics_platformDS_2016_StreamAnalytix_real_time_streaming_analytics_platform
DS_2016_StreamAnalytix_real_time_streaming_analytics_platformAditya Singh
 
Streaming Analytics for IoT with Apache Spark
Streaming Analytics for IoT with Apache SparkStreaming Analytics for IoT with Apache Spark
Streaming Analytics for IoT with Apache SparkImpetus Technologies
 
Getting It Right Exactly Once: Principles for Streaming Architectures
Getting It Right Exactly Once: Principles for Streaming ArchitecturesGetting It Right Exactly Once: Principles for Streaming Architectures
Getting It Right Exactly Once: Principles for Streaming ArchitecturesSingleStore
 
Start your datacentre transformation journey with azure migrate
Start your datacentre transformation journey with azure migrateStart your datacentre transformation journey with azure migrate
Start your datacentre transformation journey with azure migrateSarah Lean
 
Grab: Building a Healthy Elasticsearch Ecosystem
Grab: Building a Healthy Elasticsearch EcosystemGrab: Building a Healthy Elasticsearch Ecosystem
Grab: Building a Healthy Elasticsearch EcosystemElasticsearch
 
New Relic Plugin for Hadoop | Blue Medora
New Relic Plugin for Hadoop | Blue MedoraNew Relic Plugin for Hadoop | Blue Medora
New Relic Plugin for Hadoop | Blue MedoraBlue Medora
 
Data in Motion vs Data at Rest
Data in Motion vs Data at RestData in Motion vs Data at Rest
Data in Motion vs Data at RestInternap
 
Spark Usage in Enterprise Business Operations
Spark Usage in Enterprise Business OperationsSpark Usage in Enterprise Business Operations
Spark Usage in Enterprise Business OperationsSAP Technology
 
Building Software to Scale
Building Software to Scale Building Software to Scale
Building Software to Scale SingleStore
 
Stream Data Analytics with Amazon Kinesis Firehose & Redshift - AWS August We...
Stream Data Analytics with Amazon Kinesis Firehose & Redshift - AWS August We...Stream Data Analytics with Amazon Kinesis Firehose & Redshift - AWS August We...
Stream Data Analytics with Amazon Kinesis Firehose & Redshift - AWS August We...Amazon Web Services
 
Combining logs, metrics, and traces for unified observability
Combining logs, metrics, and traces for unified observabilityCombining logs, metrics, and traces for unified observability
Combining logs, metrics, and traces for unified observabilityElasticsearch
 
AWS re:Invent 2016: Visualizing Big Data Insights with Amazon QuickSight (BDM...
AWS re:Invent 2016: Visualizing Big Data Insights with Amazon QuickSight (BDM...AWS re:Invent 2016: Visualizing Big Data Insights with Amazon QuickSight (BDM...
AWS re:Invent 2016: Visualizing Big Data Insights with Amazon QuickSight (BDM...Amazon Web Services
 
Azure stream analytics by Nico Jacobs
Azure stream analytics by Nico JacobsAzure stream analytics by Nico Jacobs
Azure stream analytics by Nico JacobsITProceed
 
Spark Summit East Keynote by Anjul Bhambhri
Spark Summit East Keynote by Anjul BhambhriSpark Summit East Keynote by Anjul Bhambhri
Spark Summit East Keynote by Anjul BhambhriJen Aman
 
O'Reilly Media Webcast: Building Real-Time Data Pipelines
O'Reilly Media Webcast: Building Real-Time Data PipelinesO'Reilly Media Webcast: Building Real-Time Data Pipelines
O'Reilly Media Webcast: Building Real-Time Data PipelinesSingleStore
 
Introduction to Azure monitor
Introduction to Azure monitorIntroduction to Azure monitor
Introduction to Azure monitorPraveen Nair
 

What's hot (20)

SnapLogic Live: Workday Integration
SnapLogic Live: Workday IntegrationSnapLogic Live: Workday Integration
SnapLogic Live: Workday Integration
 
DS_2016_StreamAnalytix_real_time_streaming_analytics_platform
DS_2016_StreamAnalytix_real_time_streaming_analytics_platformDS_2016_StreamAnalytix_real_time_streaming_analytics_platform
DS_2016_StreamAnalytix_real_time_streaming_analytics_platform
 
Streaming Analytics for IoT with Apache Spark
Streaming Analytics for IoT with Apache SparkStreaming Analytics for IoT with Apache Spark
Streaming Analytics for IoT with Apache Spark
 
Getting It Right Exactly Once: Principles for Streaming Architectures
Getting It Right Exactly Once: Principles for Streaming ArchitecturesGetting It Right Exactly Once: Principles for Streaming Architectures
Getting It Right Exactly Once: Principles for Streaming Architectures
 
Business Intelligence is Not an Oxymoron
Business Intelligence is Not an OxymoronBusiness Intelligence is Not an Oxymoron
Business Intelligence is Not an Oxymoron
 
Start your datacentre transformation journey with azure migrate
Start your datacentre transformation journey with azure migrateStart your datacentre transformation journey with azure migrate
Start your datacentre transformation journey with azure migrate
 
Grab: Building a Healthy Elasticsearch Ecosystem
Grab: Building a Healthy Elasticsearch EcosystemGrab: Building a Healthy Elasticsearch Ecosystem
Grab: Building a Healthy Elasticsearch Ecosystem
 
New Relic Plugin for Hadoop | Blue Medora
New Relic Plugin for Hadoop | Blue MedoraNew Relic Plugin for Hadoop | Blue Medora
New Relic Plugin for Hadoop | Blue Medora
 
Designing migration for azure
Designing migration for azureDesigning migration for azure
Designing migration for azure
 
Data in Motion vs Data at Rest
Data in Motion vs Data at RestData in Motion vs Data at Rest
Data in Motion vs Data at Rest
 
Spark Usage in Enterprise Business Operations
Spark Usage in Enterprise Business OperationsSpark Usage in Enterprise Business Operations
Spark Usage in Enterprise Business Operations
 
Building Software to Scale
Building Software to Scale Building Software to Scale
Building Software to Scale
 
Stream Data Analytics with Amazon Kinesis Firehose & Redshift - AWS August We...
Stream Data Analytics with Amazon Kinesis Firehose & Redshift - AWS August We...Stream Data Analytics with Amazon Kinesis Firehose & Redshift - AWS August We...
Stream Data Analytics with Amazon Kinesis Firehose & Redshift - AWS August We...
 
Combining logs, metrics, and traces for unified observability
Combining logs, metrics, and traces for unified observabilityCombining logs, metrics, and traces for unified observability
Combining logs, metrics, and traces for unified observability
 
AWS re:Invent 2016: Visualizing Big Data Insights with Amazon QuickSight (BDM...
AWS re:Invent 2016: Visualizing Big Data Insights with Amazon QuickSight (BDM...AWS re:Invent 2016: Visualizing Big Data Insights with Amazon QuickSight (BDM...
AWS re:Invent 2016: Visualizing Big Data Insights with Amazon QuickSight (BDM...
 
Azure stream analytics by Nico Jacobs
Azure stream analytics by Nico JacobsAzure stream analytics by Nico Jacobs
Azure stream analytics by Nico Jacobs
 
Spark Summit East Keynote by Anjul Bhambhri
Spark Summit East Keynote by Anjul BhambhriSpark Summit East Keynote by Anjul Bhambhri
Spark Summit East Keynote by Anjul Bhambhri
 
Welcome Keynote
Welcome KeynoteWelcome Keynote
Welcome Keynote
 
O'Reilly Media Webcast: Building Real-Time Data Pipelines
O'Reilly Media Webcast: Building Real-Time Data PipelinesO'Reilly Media Webcast: Building Real-Time Data Pipelines
O'Reilly Media Webcast: Building Real-Time Data Pipelines
 
Introduction to Azure monitor
Introduction to Azure monitorIntroduction to Azure monitor
Introduction to Azure monitor
 

Viewers also liked

Improving continuous process operation using data analytics delta v applicati...
Improving continuous process operation using data analytics delta v applicati...Improving continuous process operation using data analytics delta v applicati...
Improving continuous process operation using data analytics delta v applicati...Emerson Exchange
 
Application of online data analytics to a continuous process polybutene unit
Application of online data analytics to a continuous process polybutene unitApplication of online data analytics to a continuous process polybutene unit
Application of online data analytics to a continuous process polybutene unitEmerson Exchange
 
A new era for the chemicals industry: Cloud computing changes the game
A new era for the chemicals industry: Cloud computing changes the gameA new era for the chemicals industry: Cloud computing changes the game
A new era for the chemicals industry: Cloud computing changes the gameaccenture
 
MES, Operational Excellence, Data Analytics and Manufacturing Intelligence
MES, Operational Excellence, Data Analytics and Manufacturing IntelligenceMES, Operational Excellence, Data Analytics and Manufacturing Intelligence
MES, Operational Excellence, Data Analytics and Manufacturing IntelligenceBora Susmaz
 
Aplication of on line data analytics to a continuous process polybetene unit
Aplication of on line data analytics to a continuous process polybetene unitAplication of on line data analytics to a continuous process polybetene unit
Aplication of on line data analytics to a continuous process polybetene unitEmerson Exchange
 
How to Create a Big Data Culture in Pharma
How to Create a Big Data Culture in PharmaHow to Create a Big Data Culture in Pharma
How to Create a Big Data Culture in PharmaChris Waller
 
Big Data in Pharma - Overview and Use Cases
Big Data in Pharma - Overview and Use CasesBig Data in Pharma - Overview and Use Cases
Big Data in Pharma - Overview and Use CasesJosef Scheiber
 
Meniscus Advanced Energy Analytics Platform
Meniscus Advanced Energy Analytics PlatformMeniscus Advanced Energy Analytics Platform
Meniscus Advanced Energy Analytics PlatformMike Everest
 
Big Data & Analytics in the Manufacturing Industry: The Vaasan Group
Big Data & Analytics in the Manufacturing Industry: The Vaasan GroupBig Data & Analytics in the Manufacturing Industry: The Vaasan Group
Big Data & Analytics in the Manufacturing Industry: The Vaasan GroupIBM Analytics
 
Data mining (DM) in the pharmaceutical industry
Data mining (DM) in the pharmaceutical industryData mining (DM) in the pharmaceutical industry
Data mining (DM) in the pharmaceutical industrylurdhu agnes
 

Viewers also liked (13)

Improving continuous process operation using data analytics delta v applicati...
Improving continuous process operation using data analytics delta v applicati...Improving continuous process operation using data analytics delta v applicati...
Improving continuous process operation using data analytics delta v applicati...
 
Application of online data analytics to a continuous process polybutene unit
Application of online data analytics to a continuous process polybutene unitApplication of online data analytics to a continuous process polybutene unit
Application of online data analytics to a continuous process polybutene unit
 
A new era for the chemicals industry: Cloud computing changes the game
A new era for the chemicals industry: Cloud computing changes the gameA new era for the chemicals industry: Cloud computing changes the game
A new era for the chemicals industry: Cloud computing changes the game
 
Digital POV-Chemical Industries
Digital POV-Chemical IndustriesDigital POV-Chemical Industries
Digital POV-Chemical Industries
 
MES, Operational Excellence, Data Analytics and Manufacturing Intelligence
MES, Operational Excellence, Data Analytics and Manufacturing IntelligenceMES, Operational Excellence, Data Analytics and Manufacturing Intelligence
MES, Operational Excellence, Data Analytics and Manufacturing Intelligence
 
Aplication of on line data analytics to a continuous process polybetene unit
Aplication of on line data analytics to a continuous process polybetene unitAplication of on line data analytics to a continuous process polybetene unit
Aplication of on line data analytics to a continuous process polybetene unit
 
How to Create a Big Data Culture in Pharma
How to Create a Big Data Culture in PharmaHow to Create a Big Data Culture in Pharma
How to Create a Big Data Culture in Pharma
 
Iot data analytics
Iot data analyticsIot data analytics
Iot data analytics
 
Big Data in Pharma - Overview and Use Cases
Big Data in Pharma - Overview and Use CasesBig Data in Pharma - Overview and Use Cases
Big Data in Pharma - Overview and Use Cases
 
Manufacturing Data Analytics
Manufacturing Data AnalyticsManufacturing Data Analytics
Manufacturing Data Analytics
 
Meniscus Advanced Energy Analytics Platform
Meniscus Advanced Energy Analytics PlatformMeniscus Advanced Energy Analytics Platform
Meniscus Advanced Energy Analytics Platform
 
Big Data & Analytics in the Manufacturing Industry: The Vaasan Group
Big Data & Analytics in the Manufacturing Industry: The Vaasan GroupBig Data & Analytics in the Manufacturing Industry: The Vaasan Group
Big Data & Analytics in the Manufacturing Industry: The Vaasan Group
 
Data mining (DM) in the pharmaceutical industry
Data mining (DM) in the pharmaceutical industryData mining (DM) in the pharmaceutical industry
Data mining (DM) in the pharmaceutical industry
 

Similar to Meniscus Advanced Energy Analytics Platform

How to scale your PaaS with OVH infrastructure?
How to scale your PaaS with OVH infrastructure?How to scale your PaaS with OVH infrastructure?
How to scale your PaaS with OVH infrastructure?OVHcloud
 
Modern Data Architectures for Business Outcomes
Modern Data Architectures for Business OutcomesModern Data Architectures for Business Outcomes
Modern Data Architectures for Business OutcomesAmazon Web Services
 
Using real time big data analytics for competitive advantage
 Using real time big data analytics for competitive advantage Using real time big data analytics for competitive advantage
Using real time big data analytics for competitive advantageAmazon Web Services
 
Real-time Streaming and Querying with Amazon Kinesis and Amazon Elastic MapRe...
Real-time Streaming and Querying with Amazon Kinesis and Amazon Elastic MapRe...Real-time Streaming and Querying with Amazon Kinesis and Amazon Elastic MapRe...
Real-time Streaming and Querying with Amazon Kinesis and Amazon Elastic MapRe...Amazon Web Services
 
Tapping the cloud for real time data analytics
 Tapping the cloud for real time data analytics Tapping the cloud for real time data analytics
Tapping the cloud for real time data analyticsAmazon Web Services
 
The Cloud - What's different
The Cloud - What's differentThe Cloud - What's different
The Cloud - What's differentChen-Tien Tsai
 
Introducing Amazon Kinesis: Real-time Processing of Streaming Big Data (BDT10...
Introducing Amazon Kinesis: Real-time Processing of Streaming Big Data (BDT10...Introducing Amazon Kinesis: Real-time Processing of Streaming Big Data (BDT10...
Introducing Amazon Kinesis: Real-time Processing of Streaming Big Data (BDT10...Amazon Web Services
 
MapR on Azure: Getting Value from Big Data in the Cloud -
MapR on Azure: Getting Value from Big Data in the Cloud -MapR on Azure: Getting Value from Big Data in the Cloud -
MapR on Azure: Getting Value from Big Data in the Cloud -MapR Technologies
 
Modern Data Architectures for Business Outcomes
Modern Data Architectures for Business OutcomesModern Data Architectures for Business Outcomes
Modern Data Architectures for Business OutcomesAmazon Web Services
 
Big Data LDN 2016: When Big Data Meets Fast Data
Big Data LDN 2016: When Big Data Meets Fast DataBig Data LDN 2016: When Big Data Meets Fast Data
Big Data LDN 2016: When Big Data Meets Fast DataMatt Stubbs
 
Building Your First Big Data Application on AWS
Building Your First Big Data Application on AWSBuilding Your First Big Data Application on AWS
Building Your First Big Data Application on AWSAmazon Web Services
 
Getting started with Amazon Kinesis
Getting started with Amazon KinesisGetting started with Amazon Kinesis
Getting started with Amazon KinesisAmazon Web Services
 
Getting started with amazon kinesis
Getting started with amazon kinesisGetting started with amazon kinesis
Getting started with amazon kinesisJampp
 
Data-Driven Transformation: Leveraging Big Data at Showtime with Apache Spark
Data-Driven Transformation: Leveraging Big Data at Showtime with Apache SparkData-Driven Transformation: Leveraging Big Data at Showtime with Apache Spark
Data-Driven Transformation: Leveraging Big Data at Showtime with Apache SparkDatabricks
 
Making Cloud Deployment A Reality For End-To-End Policy Administration
Making Cloud Deployment A Reality For End-To-End Policy AdministrationMaking Cloud Deployment A Reality For End-To-End Policy Administration
Making Cloud Deployment A Reality For End-To-End Policy AdministrationAccenture Insurance
 
Business of iot_mongodb_spark
Business of iot_mongodb_sparkBusiness of iot_mongodb_spark
Business of iot_mongodb_sparkMat Keep
 
Qubole on AWS - White paper
Qubole on AWS - White paper Qubole on AWS - White paper
Qubole on AWS - White paper Vasu S
 
Splunk Enterprise 6.3 - Splunk Tech Day
Splunk Enterprise 6.3 - Splunk Tech DaySplunk Enterprise 6.3 - Splunk Tech Day
Splunk Enterprise 6.3 - Splunk Tech DayZivaro Inc
 

Similar to Meniscus Advanced Energy Analytics Platform (20)

How to scale your PaaS with OVH infrastructure?
How to scale your PaaS with OVH infrastructure?How to scale your PaaS with OVH infrastructure?
How to scale your PaaS with OVH infrastructure?
 
Modern Data Architectures for Business Outcomes
Modern Data Architectures for Business OutcomesModern Data Architectures for Business Outcomes
Modern Data Architectures for Business Outcomes
 
Using real time big data analytics for competitive advantage
 Using real time big data analytics for competitive advantage Using real time big data analytics for competitive advantage
Using real time big data analytics for competitive advantage
 
Real-time Streaming and Querying with Amazon Kinesis and Amazon Elastic MapRe...
Real-time Streaming and Querying with Amazon Kinesis and Amazon Elastic MapRe...Real-time Streaming and Querying with Amazon Kinesis and Amazon Elastic MapRe...
Real-time Streaming and Querying with Amazon Kinesis and Amazon Elastic MapRe...
 
Tapping the cloud for real time data analytics
 Tapping the cloud for real time data analytics Tapping the cloud for real time data analytics
Tapping the cloud for real time data analytics
 
The Cloud - What's different
The Cloud - What's differentThe Cloud - What's different
The Cloud - What's different
 
What's new in AWS?
What's new in AWS?What's new in AWS?
What's new in AWS?
 
Introducing Amazon Kinesis: Real-time Processing of Streaming Big Data (BDT10...
Introducing Amazon Kinesis: Real-time Processing of Streaming Big Data (BDT10...Introducing Amazon Kinesis: Real-time Processing of Streaming Big Data (BDT10...
Introducing Amazon Kinesis: Real-time Processing of Streaming Big Data (BDT10...
 
MapR on Azure: Getting Value from Big Data in the Cloud -
MapR on Azure: Getting Value from Big Data in the Cloud -MapR on Azure: Getting Value from Big Data in the Cloud -
MapR on Azure: Getting Value from Big Data in the Cloud -
 
Modern Data Architectures for Business Outcomes
Modern Data Architectures for Business OutcomesModern Data Architectures for Business Outcomes
Modern Data Architectures for Business Outcomes
 
Big Data LDN 2016: When Big Data Meets Fast Data
Big Data LDN 2016: When Big Data Meets Fast DataBig Data LDN 2016: When Big Data Meets Fast Data
Big Data LDN 2016: When Big Data Meets Fast Data
 
Building Your First Big Data Application on AWS
Building Your First Big Data Application on AWSBuilding Your First Big Data Application on AWS
Building Your First Big Data Application on AWS
 
Getting started with Amazon Kinesis
Getting started with Amazon KinesisGetting started with Amazon Kinesis
Getting started with Amazon Kinesis
 
Getting started with amazon kinesis
Getting started with amazon kinesisGetting started with amazon kinesis
Getting started with amazon kinesis
 
APM
APMAPM
APM
 
Data-Driven Transformation: Leveraging Big Data at Showtime with Apache Spark
Data-Driven Transformation: Leveraging Big Data at Showtime with Apache SparkData-Driven Transformation: Leveraging Big Data at Showtime with Apache Spark
Data-Driven Transformation: Leveraging Big Data at Showtime with Apache Spark
 
Making Cloud Deployment A Reality For End-To-End Policy Administration
Making Cloud Deployment A Reality For End-To-End Policy AdministrationMaking Cloud Deployment A Reality For End-To-End Policy Administration
Making Cloud Deployment A Reality For End-To-End Policy Administration
 
Business of iot_mongodb_spark
Business of iot_mongodb_sparkBusiness of iot_mongodb_spark
Business of iot_mongodb_spark
 
Qubole on AWS - White paper
Qubole on AWS - White paper Qubole on AWS - White paper
Qubole on AWS - White paper
 
Splunk Enterprise 6.3 - Splunk Tech Day
Splunk Enterprise 6.3 - Splunk Tech DaySplunk Enterprise 6.3 - Splunk Tech Day
Splunk Enterprise 6.3 - Splunk Tech Day
 

Meniscus Advanced Energy Analytics Platform

  • 2. 12 September 2016 www.meniscus.co.ukIf you think of it… We can deliver it! Meniscus – Delivering data analytics to the connected world Meniscus analytics software provides high performance, flexible and scalable cloud based tools that quickly and easily lets you develop bespoke applications to turn big (or small) datasets into the calculated metrics you need for your business.
  • 3. 12 September 2016 www.meniscus.co.uk MENISCUS If you think of it… We can deliver it! • Turning raw data into valuable information. • Collecting data to identify problems early and to operate the sites more efficiently and at lower cost. • Automatically calculating performance metrics from operational data. • A tool for delivering real time Big Data Analytics. • Allows users to configure their own calculations. • Giving you flexibility to easily adapt the system as your requirements change
  • 4. 12 September 2016 www.meniscus.co.ukIf you think of it… We can deliver it! Data pushed to MAP Information pulled using RESTful API Meniscus Analytics Platform • Apply any calculation • Deploy to tens of thousands of Things/Entities • Real Time • Generic CLOUD BASED DATA ANALYTICS PLATFORM
  • 5. 12 September 2016 www.meniscus.co.uk MAP KEY FEATURES If you think of it… We can deliver it! MODULES Modules provide fully extensible functionality for Importing, Pre-Processing, Calculating, Invalidating and Creating Items. Multiple instances of each module can run on separate servers providing true scalability. CALCULATION QUEUE The Calculation Queue is a list of all Raw and Calculated Items that are due to be re- calculated as a consequence of new data being received or an Item Property changing. ALARMS Configurable alarms for any Items or for the entire system. REPORTS Scheduled e-mailing of management reports. Only available as part of an overall hosted service. RESTful API A fully featured RESTful Analytics API is available to configure, upload and download your application. UNLIMITED GROUPING HIERARCHY For standard applications the Group hierarchy has up to four tiers. For larger corporate applications, this hierarchy can have an unlimited number of tiers.
  • 6. 12 September 2016 www.meniscus.co.uk 5 STAGE PROCESS If you think of it… We can deliver it! Create an Entity Set up any calculation Replicate the Entity Upload data Download metrics • One Entity can have many Items • Each Item has 7 Data Types: RAW, CALC, TARGET, HCALC, LCALC, COST & TARGETCOST • Get as complex as you want • 3 levels of complexity available • First two configurable over web • Use an Entity as a template • Replicate as many times as you need • Customise each Entity as required • Can accept many formats • Accept any granularity of data • Combine data with different granularity • RESTful API • Download metrics as often as you want • Can push reports, alerts and data
  • 7. 12 September 2016 www.meniscus.co.ukIf you think of it… We can deliver it! Process Energy Mgt +60 Water Treatment Plant Calculation of 30 min values of average energy use per Ml flow per m head for each pump set. Uses Weighted Average calculation Process Energy Mgt +130 Water Boreholes and Distribution sites Process Energy Mgt +400 Pumping stations Process Energy Mgt +275 Wastewater Treatment Plant % deviation from dry weather flow conditions. Identifies blockages etc Chemical monitoring and comparison of dosing rates to theoretical targets. Calc of chemical dose rates Energy monitoring against flow based targets. Calc of Moving average values. Benchmarks against average use PAM – as per Wastewater. Process energy benchmarks across sites Calc of virtual elec meters for each process & sub process from hours run. Calc of flow, energy & process benchmarks & KPI’s Chemical monitoring and comparison to theoretical targets and quality limits. Calc of chemical dose rates Half hour electricity data. Daily download of HH reads (D+1) for ~ 700+ sites – 30 minute periodicity Chemical data. Daily download of tank levels, dose rates for 50 sites – 15 minute periodicity Hours run and kWh from Telemetry. Daily download of 15 min readings from ~ 4,500 pumps and blowers – 15 minute periodicity CASE STUDIES Energy, Chemical monitoring, Water Company hosts Process data. Daily download of ~ 15Mb of readings at 15 min intervals from Telemetry. Flow, DO, pressures etc – 15 minute periodicity
  • 8. 12 September 2016 www.meniscus.co.ukIf you think of it… We can deliver it! WHAT ARE THE BENEFITS TO THE ENERGY TEAM? • Integrate complex analytics into your services • Rapid development and deployment of solutions • Flexibility to change as the solution ‘matures’ – Flexibility in the software – Flexibility in how we deliver the service • Ability to migrate from pilot to full scale deployment
  • 9. 12 September 2016 www.meniscus.co.uk TRIAL ACCOUNT If you think of it… We can deliver it! To create your own application simply register for a trial account and follow these five easy steps. You can use our powerful RESTful API to build these steps into your own applications. Register for a free trial account To register for a free trial account click the button:
  • 10. Meniscus advanced energy Analytics Platform. THANK YOU If you think of it… We can deliver it! Mike Everest – Director +44 (0) 7977 540407 meverest@meniscus.co.uk Dexter Fox – BDM +44 (0) 7508 861823 dfox@meniscus.co.uk Huntingdon Business Centre, Blackstone Road, Huntingdon PE29 6EF +44 (0) 1480 433714

Editor's Notes

  1. Set up in 1997 Primarily focused on CleanTech market Water and Electricity Industries Process monitoring Smart Cities and IOT Key USP is Meniscus Analytics Platform (MCE and MAP) Real Time calculation component/tool Enables the creation of any calculation from multiple data sources Wessex Water Process centric Energy M&T at 1,200 sites Chemical M&T at 50 sites Anglian Water – all real time Identification of dry weather alarms at 600+ CSO and sewers using Nowcast radar rainfall data Beach Alerts using modelled output Sewer flood predictions Shellfish warnings