Business Intelligence made easy! This is the first part of a two-part presentation I prepared for one of our customers to help them understand what Business Intelligence is and what can it do...
Microsoft Dynamics NAV - as ERP Solution for Manufacturing ProcessIsra' Abu Rumman
- Purchase Order Management.
- Sales Order Management.
- Production Orders.
- Supply Planning Capabilities inMicrosoft Dynamics NAV 2015.
- Sales/ Purchase Budgets.
- Demand Forecasting- Production Forecast.
- Supply Planning in Dynamics NAV.
- Requisition Management.
- Order Promising.
- Item Availability by Period.
- Item Availability by BOM Level.
- Production Bill of Materials.
- Calendars.
- Capacity Planning.
- Standard Cost Worksheet.
- Reporting Tool.
The Impact of COVID-19 in B2B MarketingDemand Metric
In Q2 2020, we asked marketing leaders at mid-sized B2B companies in the USA abouthow the COVID-19 pandemic has impacted their plans for the year.
Here’s what we found.
Business Intelligence made easy! This is the first part of a two-part presentation I prepared for one of our customers to help them understand what Business Intelligence is and what can it do...
Microsoft Dynamics NAV - as ERP Solution for Manufacturing ProcessIsra' Abu Rumman
- Purchase Order Management.
- Sales Order Management.
- Production Orders.
- Supply Planning Capabilities inMicrosoft Dynamics NAV 2015.
- Sales/ Purchase Budgets.
- Demand Forecasting- Production Forecast.
- Supply Planning in Dynamics NAV.
- Requisition Management.
- Order Promising.
- Item Availability by Period.
- Item Availability by BOM Level.
- Production Bill of Materials.
- Calendars.
- Capacity Planning.
- Standard Cost Worksheet.
- Reporting Tool.
The Impact of COVID-19 in B2B MarketingDemand Metric
In Q2 2020, we asked marketing leaders at mid-sized B2B companies in the USA abouthow the COVID-19 pandemic has impacted their plans for the year.
Here’s what we found.
Demand forecasting using ai and machine learningRuchi Jain
Demand forecasting is a significant application in the field of AI for all the businesses either it be retail or banking. In a study conducted by BCG and Google, the result shows AI advanced analytics in forecasting can help businesses achieve 10% higher revenue. Among all, demand forecasting is of utmost importance for a business growth and to lead the business at top.
Use of Data Mining in Marketing
Different tools for Marketing
Case Study
Data mining in marketing
Knowledge Base Marketing
Market Basket
Social Media Marketing
and many more
What are big data in the contacts of energy & utilities, and how/where can the utilities find value in the data. In this C-level presentation we discussed the three prime areas: grid operations, smart metering and asset & workforce management. A section on cognitive computing for utilities have been omitted from the presentation due to confidentiality - but I tell you - it is mind-blowing perspectives on how IBM Watson will help utilities plan and optimize their operations in the near future!
See more on http://www.ibmbigdatahub.com/industry/energy-utilities
This Book is written by Ameer e Ahle Sunnat Hazrat Allama Maulana Ilyas Attar Qadri Razavi Ziaee.
This book include the following topics:
*What is Karamat-Marvel ?
*Epilepsy is a form of jinn
*The well of Ghaus-ul-Azam
* And many more..
Like & Share Official Page of Maulana Ilyas Qadri
www.facebook.com/IlyasQadriZiaee
The Value of Business Intelligence In Construction Industrykelvinlane
Damnish Kumar, CTO at HyTech Professionals , leads technology initiatives for a wide variety of clients in the US, the UK, Japan, Germany and Sweden. He brings to HyTech his technological expertise in n-tier architecture and distributed database applications and a special affinity for industrial environments.
Demand forecasting using ai and machine learningRuchi Jain
Demand forecasting is a significant application in the field of AI for all the businesses either it be retail or banking. In a study conducted by BCG and Google, the result shows AI advanced analytics in forecasting can help businesses achieve 10% higher revenue. Among all, demand forecasting is of utmost importance for a business growth and to lead the business at top.
Use of Data Mining in Marketing
Different tools for Marketing
Case Study
Data mining in marketing
Knowledge Base Marketing
Market Basket
Social Media Marketing
and many more
What are big data in the contacts of energy & utilities, and how/where can the utilities find value in the data. In this C-level presentation we discussed the three prime areas: grid operations, smart metering and asset & workforce management. A section on cognitive computing for utilities have been omitted from the presentation due to confidentiality - but I tell you - it is mind-blowing perspectives on how IBM Watson will help utilities plan and optimize their operations in the near future!
See more on http://www.ibmbigdatahub.com/industry/energy-utilities
This Book is written by Ameer e Ahle Sunnat Hazrat Allama Maulana Ilyas Attar Qadri Razavi Ziaee.
This book include the following topics:
*What is Karamat-Marvel ?
*Epilepsy is a form of jinn
*The well of Ghaus-ul-Azam
* And many more..
Like & Share Official Page of Maulana Ilyas Qadri
www.facebook.com/IlyasQadriZiaee
The Value of Business Intelligence In Construction Industrykelvinlane
Damnish Kumar, CTO at HyTech Professionals , leads technology initiatives for a wide variety of clients in the US, the UK, Japan, Germany and Sweden. He brings to HyTech his technological expertise in n-tier architecture and distributed database applications and a special affinity for industrial environments.
"Co-creation" and "Experience Co-Creation" in Health CareA.R.J. (Rob) Halkes
Co-Creation and Experience Co-Creation are two terms which appear usually as puzzling to those who learn about it for the first time. They often think it is like doing or working together. Instead, it is just because of failing cooperation and collaborative work approaches that co-creation is relevant. It is highly successful in many of branches. To health care there are activities and projects that worked with it. But in general the Health Care Business is not easily changing to these unavoidable methods to create personalised care, and an effective eco system and context to enable self management by patients. Here's the introduction.
TRANSFORM DATA WITH INSIGHTFUL ANALYTICS - BUSINESS INTELLIGENCE SOLUTIONSTaction Software LLC
in today’s progressive business environment, it has become an absolute necessity to have insights into the data and accordingly analyze it in-depth to deliver sustainable performance. To hold a distinct competitive advantage, organizations must be willing to go-beyond the traditional way of capturing and using the data. Empowered business decisions require real-time data analytics and Trends for balancing business projections and actual deliveries. Taction’s Business Intelligence practice helps businesses to unlock the data value for faster decision-making, maximum accuracy and efficiency to accelerate innovation to get a competitive advantage.
As the world's energy demand rises, so does the amount of renewable energy, particularly wind energy, in the supply. The life cycle of wind farms starting from manufacturing the components to decommission stage involve significant involvement of cost and the application of AI and data analytics are on reducing these costs are limited. With this conference talk, the audience expected to know some of the interesting applications of AI and data analytics on offshore wind. And, also highlight the future challenges and opportunities. This conference could be useful for students, academics and researcher who want to make next career in offshore wind but yet know where to start.
Show & Tell - Data & Digitalisation, Weather & Predictive Analytics.pdfSIFOfgem
This is the fifth in a series of 'Show and Tell' webinars from the Ofgem Strategic Innovation Fund Discovery phase, covering the Weather and predictive analytics projects.
As the move towards a net zero energy system accelerates, network customers and consumers will require simplified and accessible digital products, processes and services that can improve their user experience. Data and digital initiatives are already beginning to show the potential to improve the efficiency of energy networks whilst making it easier for third parties to interact with and innovate for the energy system. Digitalisation of energy network activities will contribute to better coordination, planning and network optimisation.
You will hear from SIF projects which are investigating new digital products and services.
The Strategic Innovation Fund (SIF) is an Ofgem programme managed in partnership with Innovate UK, part of UKRI. The SIF aims to fund network innovation that will contribute to achieving Net Zero rapidly and at lowest cost to consumers, and help transform the UK into the ‘Silicon Valley’ of energy, making it the best place for high-potential businesses to grow and scale in the energy market.
For more information on the SIF visit: www.ofgem.gov.uk/sif
Or sign-up for our newsletter here: https://ukri.innovateuk.org/ofgem-sif-subscription-sign-up
Using Predictive Analytics to Optimize Asset Maintenance in the Utilities Ind...Cognizant
Predictive analytics is a process of using statistical and data mining techniques to analyze historic and current data sets, create rules and predict future events. This paper outlines a game plan for effective implementation of predictive analytics.
ARC Advisory Group's 2014 European Industry Forum in the Netherlands included this interesting presentation from Willem Hazenberg of Stork on control system migration.
Case Study - Smart SCADA And The Use of Digital Twins In Renewable Energy PlantsIngeteam Wind Energy
Deploying a data-driven digital twin for the monitoring of a multi-technology asset portfolio in Latin America.
A leading asset owner in Latin America needed to unify the large and complex set of SCADA data generated in order to improve decision-making processes and create more value.
Discover how!
SURVEY ON HYDRO GENERATOR
INSTRUMENTATION AND MONITORING
WORKING GROUP
A1.40
MARCH SURVEY ON HYDRO GENERATOR INSTRUMENTATION AND MONITORINGSURVEY ON HYDRO GENERATOR INSTRUMENTATION AND MONITORINGSURVEY ON HYDRO GENERATOR INSTRUMENTATION AND MONITORINGSURVEY ON HYDRO GENERATOR INSTRUMENTATION AND MONITORINGSURVEY ON HYDRO GENERATOR INSTRUMENTATION AND MONITORINGSURVEY ON HYDRO GENERATOR INSTRUMENTATION AND MONITORINGSURVEY ON HYDRO GENERATOR INSTRUMENTATION AND MONITORINGSURVEY ON HYDRO GENERATOR INSTRUMENTATION AND MONITORINGSURVEY ON HYDRO GENERATOR INSTRUMENTATION AND MONITORINGSURVEY ON HYDRO GENERATOR INSTRUMENTATION AND MONITORINGSURVEY ON HYDRO GENERATOR INSTRUMENTATION AND MONITORINGSURVEY ON HYDRO GENERATOR INSTRUMENTATION AND MONITORINGSURVEY ON HYDRO GENERATOR INSTRUMENTATION AND MONITORINGSURVEY ON HYDRO GENERATOR INSTRUMENTATION AND MONITORING
This presentation examines how AMI data, the collection of this data and the creation of tools to use this data have dramatically changed and is continuing to change metering operations. We will look at some of the challenges we are facing as we learn how to do business most effectively with this information and these tools.
Detailed Project Report on Smart Energy Monitor Manufacturing Unit SetupIMARC Group
The report provides a complete roadmap for setting up an smart energy monitor manufacturing plant. It covers a comprehensive market overview to micro-level information such as unit operations involved, raw material requirements, utility requirements, infrastructure requirements, machinery and technology requirements, manpower requirements, packaging requirements, transportation requirements, etc.
More Info:- https://www.imarcgroup.com/smart-energy-monitor-manufacturing-plant-project-report
Real Time and Wireless Smart Faults Detection Device for Wind Turbineschokrio
In new energy development, wind power has boomed. It is due to the proliferation of wind parks and their operation in supplying the national electric grid with low cost and clean resources. Hence, there is an increased need to establish a proactive maintenance for wind turbine machines based on remote control and monitoring. That is necessary with a real-time wireless connection in offshore or inaccessible locations while the wired method has many flaws. The objective of this strategy is to prolong wind turbine lifetime and to increase productivity. The hardware of a remote control and monitoring system for wind turbine parks is designed. It takes advantage of GPRS or Wi-Max wireless module to collect data measurements from different wind machine sensors through IP based multi-hop communication. Computer simulations with Proteus ISIS and OPNET software tools have been conducted to evaluate the performance of the studied system. Study findings show that the designed device is suitable for application in a wind park.
India's Energy Future and Opportunities for U.S. - India Energy PartnershipDarshit Paun
Opportunities for Strategic Indo-US Energy Partnership. Presented before Kathleen Stephens, Hon'ble U.S. Ambassador, Charge de' Affairs, U.S. Embassy, New Delhi and U.S. Consulate General.
Business Research Report for Electricity Conusmption behaviour research conducted in Ahmedabad and Gandhinagar region of Gujarat with a sample size of 50.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
4. • Overall Industry value chain
• Business intelligence
• Utilization of BI in each of the stages of value chain
• Benefits of BI
• Analytics
• Implementation analytic in each of the stages of
value chain
• Benefits of Analytics
• Products available in the market in BI & Analytic
space for this industry
• Process we propose for implementation BI & Analytic
solutions in the value chain
18. Analytics is the science of examining raw data with the purpose of drawing conclusions about that
information.
Analytics is used to make better business decisions and to verify or disprove existing models or
theories.
Mining sort through huge data sets using sophisticated software to identify undiscovered patterns
and establish hidden relationships.
Analytics focuses on inference, the process of deriving a conclusion based solely on what is
already known by the researcher.
The science is generally divided into:
Exploratory data analysis (EDA), where new features in the data are discovered.
Confirmatory data analysis (CDA), where existing hypotheses are proven true or false.
Qualitative data analysis (QDA), conclusions are drawn from non-numerical data like words, photographs
or video.
19. Sophisticated analytics are enabling renewable energy companies
with deeper insight which helps them better manager the variable
nature of wind and solar, and more accurately forecast the amount of
energy that can be redirected into the power grid or stored.
20. Provide customers with irradiance data for their location.
Short-Term Photovoltaic Power Predictions (meteorological forecasts from
numerical weather prediction (NWP) models)
Systematic Optimized Strategy for Solar Energy Supply Forecasting (hybrid of
weather and energy forecast models)
Fault Detection of Large Amounts of Photovoltaic Systems
Active solar monitoring
Real-time Solar Energy Output tracking
Real-time Energy Consumption monitoring
In-time Fault and Diagnosis Alerts
Monthly regular Performance Report
21.
22. Wind turbines are big and expensive machines, so
keeping them running smoothly helps keeping their
operational cost down.
The sensor data generated by the turbine can help
achieving this – by analysing it, you can spot potential
failures earlier.The longer the warning period before a
part fails, the better you can prepare for it.
Preventive maintenance saves you money when you
have:
1. Shorter downtime and less lost production
2. Better planning of people and materials
3. Cheaper repairs
23. •Wind Energy Prediction
•Meteorological mast data checks;
•Energy yield calculation using industry standard software tools;
•Calculations of shadow flicker, noise impact, etc;
•Fleet power curve surveys identifying abnormal performance,
underperformance, curtailment and other features indicated by SCADA data
including identification of changes in time and differences from turbine to
turbine;
•Detailed wind farm asset performance analysis against budget including
monthly or other breakdown of the component reasons for deviation from
budget such as availability, grid outage, wind conditions, over performance,
underperformance and curtailment, etc.;
•Energy yield impact estimation to evaluate the efficiency impact of particular
events such as blade cleaning or turbine parameter changes;
•SCADA data investigations to evaluate the impact of downtime due to
particular wind turbine component or outage types;
•LIDAR investigations in order to check whether the turbines are being
subjected to abnormal wind conditions causing significant underperformance,
due to complex terrain, nearby forestry or other reasons;
24. 1.Security and Theft Detection
2.Preventive Equipment
Maintenance
3.Demand Response Management
4.Field Service Management
5.Real-Time Customer Billing &
Provisioning
How much demand for electricity
will there be and when?
Which transformer may blow next
week? (So let's perform
maintenance on it this week.)
Where should we set up new plant
to achieve the best results?
Which type of material is better for
manufacturing and why?
25.
26. IHS company – Wind Energy
Products across the value chain.
27. IHS company – Emerging products
in the Renewable Energy Segment.
32. Virtual Irradiance solar
analytics developed by Locus
Technologies
The Virtual Irradiance solar
analytics tool will combine NASA
satellite data, government weather
station data and data from Locus'
network of 40,000 systems which it
monitors in North America to
provide customers with irradiance
data for their location.
The tool provides data for a one
square kilometre location
anywhere in the continental United
States, in fifteen minute intervals.
Locus says that it is as accurate as
on-site weather sensors over a
one-month period.