This document discusses performance management and business analytics. It includes:
- A maturity model showing four steps of performance management maturity from reacting to orchestrating.
- Charts and data from surveys on the amount of useless information managers receive, time wasted searching for information, and accidentally using wrong information.
- Descriptions of what is needed for effective performance management including an enterprise platform, consistent information access, and best practice solutions.
- An overview of how Cognos and IBM solutions address business analytics needs like financial, customer, and supply chain optimization.
IBM Cognos Express is Business Intelligence software designed specifically for mid-sized organisations. Mark Register shows how Business Intelligence can help business planning and forecasting and make significant efficiency gains.
The document discusses IBM Cognos 8 software for business intelligence and performance management, highlighting its ability to provide unified reporting, analysis, planning and dashboard capabilities across various business functions and data sources. It also outlines the value propositions of IBM Cognos 8 for CFOs/CEOs in gaining insights from data and for CIOs in providing efficient access to information. Sample conversation starters are provided to discuss typical pain points of clients and IBM Cognos 8 advantages over competitors' solutions.
IBM i Trends & Directions Common Europe 2012COMMON Europe
IBM is working to enable a Smarter Planet through technologies like Big Data and optimized systems tuned for specific workloads. IBM i continues to enhance the platform through strategies that lower costs and improve flexibility. Recent developments include the Power Systems architecture and PureSystems platforms, which integrate expertise across infrastructure to improve efficiency, flexibility and simplified management.
The document discusses IBM Power Systems and IBM i. It highlights how IBM i is totally integrated, provides legendary reliability, is virtualized by design, and enables growth without increasing complexity or costs. IBM i reduces risks and costs compared to other platforms. It has proven security and is optimized for business. The document provides examples of how IBM i improves efficiency at customer organizations and lowers TCO. It argues that IBM i is highly integrated by design, unlike other solutions, and this integration provides faster time to value for customers.
Maintenance Prédictive, personnalisation des interactions clients, optimisation de la supply chain : quand Spark et Hadoop s'immiscent dans les activités opérationnelles de l'entreprise
One of the major challenges for Gas Turbine users is to ensure high level of engine availability and reliability, and efficient operation during their complete life-cycle. For this purpose, Various maintenance approaches have been introduced over the years for the gas turbine maintenance: Breakdown Maintenance or Run to Failure, Preventive Maintenance or Scheduled Maintenance and Condition-Based Maintenance (CBM). Here the focus is on CBM or predictive maintenance.
Presentation by Dr. Peter Bruce, Statistics.com. Presented on April 27, 2012 at the MRA Spring Research Symposium hosted by the Mid-Atlantic Chapter of the Marketing Research Association.
Ibm ofa ottawa_analytics_in_gov _campbell_robertsondawnrk
Opportunity for Analytics Ottawa event. Presentation by Campbell Robertson, Analytics in Government. Results based outcomes with IBM Predictive Analysis for Cost Avoidance and Beyond.
IBM Cognos Express is Business Intelligence software designed specifically for mid-sized organisations. Mark Register shows how Business Intelligence can help business planning and forecasting and make significant efficiency gains.
The document discusses IBM Cognos 8 software for business intelligence and performance management, highlighting its ability to provide unified reporting, analysis, planning and dashboard capabilities across various business functions and data sources. It also outlines the value propositions of IBM Cognos 8 for CFOs/CEOs in gaining insights from data and for CIOs in providing efficient access to information. Sample conversation starters are provided to discuss typical pain points of clients and IBM Cognos 8 advantages over competitors' solutions.
IBM i Trends & Directions Common Europe 2012COMMON Europe
IBM is working to enable a Smarter Planet through technologies like Big Data and optimized systems tuned for specific workloads. IBM i continues to enhance the platform through strategies that lower costs and improve flexibility. Recent developments include the Power Systems architecture and PureSystems platforms, which integrate expertise across infrastructure to improve efficiency, flexibility and simplified management.
The document discusses IBM Power Systems and IBM i. It highlights how IBM i is totally integrated, provides legendary reliability, is virtualized by design, and enables growth without increasing complexity or costs. IBM i reduces risks and costs compared to other platforms. It has proven security and is optimized for business. The document provides examples of how IBM i improves efficiency at customer organizations and lowers TCO. It argues that IBM i is highly integrated by design, unlike other solutions, and this integration provides faster time to value for customers.
Maintenance Prédictive, personnalisation des interactions clients, optimisation de la supply chain : quand Spark et Hadoop s'immiscent dans les activités opérationnelles de l'entreprise
One of the major challenges for Gas Turbine users is to ensure high level of engine availability and reliability, and efficient operation during their complete life-cycle. For this purpose, Various maintenance approaches have been introduced over the years for the gas turbine maintenance: Breakdown Maintenance or Run to Failure, Preventive Maintenance or Scheduled Maintenance and Condition-Based Maintenance (CBM). Here the focus is on CBM or predictive maintenance.
Presentation by Dr. Peter Bruce, Statistics.com. Presented on April 27, 2012 at the MRA Spring Research Symposium hosted by the Mid-Atlantic Chapter of the Marketing Research Association.
Ibm ofa ottawa_analytics_in_gov _campbell_robertsondawnrk
Opportunity for Analytics Ottawa event. Presentation by Campbell Robertson, Analytics in Government. Results based outcomes with IBM Predictive Analysis for Cost Avoidance and Beyond.
This document introduces predictive maintenance, which uses data from connected devices and sensors to alert operators of potential issues before failures occur. It discusses three types of maintenance strategies - corrective, preventive, and predictive. Predictive maintenance can use simple condition-based monitoring of sensor data or more advanced model-based approaches involving machine learning. The document outlines architectures for basic and advanced predictive maintenance systems, covering components like connected devices, databases, APIs, and machine learning models. It emphasizes collecting sensor data, using tools like Elasticsearch and machine learning APIs, to build models that can optimize maintenance planning and increase equipment uptime.
Déjeuner Conférence - La maintenance à l'ère du prédictifagileDSS
Depuis plusieurs années déjà, la maintenance d’équipements a souvent été une source de problèmes pour bien des entreprises. D’un côté, si vous ne faites pas assez de maintenance, vous aurez une perte de productivité et d’un autre côté, si vous le faites trop fréquemment, vous aurez une explosion de coûts. Comment trouver un juste milieu permettant de maximiser la longévité des équipements tout en diminuant les coûts d’entretien? La réponse se trouve plus près que vous ne le croyez!
"Maximiser la production tout en diminuant les coûts de maintenance; comment les données d’aujourd’hui permettent de prédire la maintenance de demain?"
C’est pour bien comprendre l’impact de la maintenance prédictive que nous vous invitons à ce déjeuner-conférence le 20 mai prochain. En plus d’échanger avec vos pairs vous aurez l’occasion d’assister à la conférence de Thierry Desjardins sur les différentes applications de la maintenance prédictive et comment vous pourriez l’intégrer au sein de votre entreprise.
Des sujets et thèmes à ne pas manquer!
- Internet of Thing, iBeacon, GPS… Comment les technologies impacteront la maintenance de vos équipements?
- Comment savoir quels appareils ont besoin de maintenance, à quel moment et quel en est la cause?
- Comment évolueront les processus de maintenance? Est-ce que la maintenance just in time est accessible?
- Comment certaines entreprises ont réussi à opérationnaliser efficacement un modèle de maintenance prédictive?
The document discusses predictive analytics and forecasting. It defines predictive analytics as producing predictive scores for each customer or organizational element, while forecasting provides aggregate estimates such as total sales. Prediction involves classifying outcomes like customer retention, while forecasting understands trends and seasonality. Predictive modeling creates statistical models of future behavior by collecting and analyzing data to predict outcomes. Common predictive algorithms include logistic regression, decision trees, naive bayes, and clustering.
Predictive analytics can take you from guesswork to prediction by showing you where you are now, and where you can go next. It empowers you to analyze trends, patterns and relationships in your structured and unstructured data, apply those insights to predict future events, and act to achieve your desired outcomes.
Using the Industrial Internet to Move From Planned Maintenance to Predictive ...Sentient Science
Sentient Science provides Prognostics Health Management using the Industrial Internet and will show practical examples of driving down O&M costs by moving from Planned Preventative Maintenance (PPM) to Predictive Health Maintenance (PHM) for distributed assets. This presentation will outline how the IIC, and the practical benefits of integrating your distributed assets with prognostics, predictive models for life extension.
Big data is revolutionizing predictive maintenance and manufacturing intelligence in factories of the future. An automotive supplier implemented solutions from IBM (PMQ) and Braincube to analyze real-time data from production equipment, reduce scrap rates, and quickly address production issues. Data was ingested from sensors in factories and stored in Hadoop for analysis to generate insights for improving operations and equipment maintenance.
BA Summit 2014 Predictive maintenance: Met big data het lek dichtenDaniel Westzaan
Predictive maintenance is een van de big-datatoepassingen met enorme potentie. Voor Vitens, het grootste waterbedrijf van Nederland met meer dan 5,5 miljoen klanten, toonden CGI en IBM in een proof of value aan dat sneller en nauwkeuriger lekken lokaliseren in potentie miljoenen kan besparen.
De primaire taak van Vitens is ervoor zorgen dat klanten te allen tijde kunnen beschikken over topkwaliteit drinkwater. Met een netwerk van meer dan 49.000 km relatief oude pijpleiding, is het kostenefficiënt onderhouden van het netwerk een voortdurende uitdaging. Veelal wordt gekozen voor preventief onderhoud waardoor pijpleiding vaak eerder wordt vervangen dan strikt nodig is. Desondanks treden er regelmatig lekken op met soms grote schade en bedreiging van de leveringszekerheid.
Het lokaliseren van lekken gebeurt handmatig, wat veel tijd en geld kost omdat het zoekgebied vaak kan oplopen tot tientallen kilometers. Vitens vroeg CGI en IBM om met behulp van een big-datatoepassing een methode te ontwikkelen voor het lokaliseren van lekken. In een proof of value werd historische data geanalyseerd waarbij de helft van de geanalyseerde lekken tot op 2,5 km nauwkeurig kon worden gelokaliseerd.
Door sneller lekken te lokaliseren of zelfs te voorspellen, kan Vitens niet alleen direct besparen op inzet van medewerkers voor lokalisatie en bezetting van het callcenter. Het maakt het ook mogelijk om de effectieve levensduur van pijpleidingen te verlengen of, bij minder kritische delen van het netwerk, zelfs te kiezen voor de maximale levensduur waarbij pas leiding pas wordt vervangen bij het daadwerkelijk optreden van lekken.
This document discusses predictive maintenance using sensor data in utility industries. It describes how sensors can monitor infrastructure and predict failures by analyzing patterns in sensor data using machine learning models. An architecture is proposed that uses big data frameworks like Spark, Kafka and HBase to collect, analyze and store large volumes of real-time sensor data at scale. Predictive analytics on this data with techniques like clustering and regression can detect anomalies and predict failures to enable condition-based maintenance in utilities. Modeling uncertain sensor readings with probabilistic and autoregressive approaches is also discussed.
Predictive Maintenance by analysing acoustic data in an industrial environmentCapgemini
This document discusses predictive maintenance through acoustic data analysis in an industrial setting. It describes using sensors and data collection from machines to detect potential issues through acoustic and vibration analysis. The customer case study involves implementing a predictive maintenance platform using acoustic data from an air compressor to identify mechanical, electrical, and other problems to decrease maintenance costs and increase machine availability. The solution involves collecting machine and sensor data, storing it in an IIoT platform, and performing analytics using predictive models and dashboards.
Predictive maintenance uses sensors and data analytics to predict failures in machines before they occur. It aims to replace parts that will break imminently, rather than all parts preventatively. This approach reduces costs compared to traditional preventative maintenance. Developing an effective predictive maintenance program requires understanding machine operations and economics, identifying relevant data sources, and creating predictive models. It is a collaborative process without single solutions, as each machine system presents unique challenges. The goal is finding the optimal balance of predictive efforts and resulting cost savings.
The document discusses predictive maintenance in oil refineries using analytics. It notes that most refinery shutdowns are unplanned and due to mechanical failures. Traditional maintenance methods are reactive or preventive. Predictive analytics uses real-time equipment data and historical maintenance records to monitor equipment health and estimate remaining lifespan. This allows refineries to schedule maintenance more efficiently to avoid breakdowns and reduce downtime. The document provides examples of predictive algorithms and dashboards that can integrate data for predictive maintenance to optimize operations and supply chain processes. It estimates that a typical 100,000 bpd refinery could save over $3.5 million annually through predictive maintenance.
The Science of Predictive Maintenance: IBM's Predictive Analytics SolutionSenturus
Overview of IBM’s Predictive Maintenance and Quality (PMQ) solution. View the webinar video recording and download this deck: http://www.senturus.com/resources/science-predictive-maintenance/.
We show you the PMQ solution can keep manufacturing processes, infrastructure and field equipment running to maximize use and performance, while minimizing costs.
We show how you can use powerful analytics and data integration to help: Anticipate asset maintenance and product quality problems, Reduce unscheduled asset downtime, Spend less time solving production machinery and field asset problems, Improve asset productivity and process quality, Monitor how assets are performing in real-time and predict what will happen next.
Senturus, a business analytics consulting firm, has a resource library with hundreds of free recorded webinars, trainings, demos and unbiased product reviews. Take a look and share them with your colleagues and friends: http://www.senturus.com/resources/.
International competition, shorter product life cycles and faster technological leaps forward – these are only a few of the challenges the production of a company is facing in the 21st century. In order to survive in an environment like this, resource-efficient and secure planning of production processes are necessary to guarantee a consistent and high quality output. Unforeseeable machine failures as well as performance drops or deterioration in quality because of defective system components can lead to shortness of supplies which will eventually weaken the market position of the entire organization.
To meet these requirements organizations are increasingly focusing on the improvement of maintenance, repair and operations of their machinery. In the previous years, the industry shifted their focus away from only reactive repair mechanisms towards the predictive coordination of machine maintenance.
Predictive Maintenance falls under the category of the future of maintenance developments. Originally developed in the course of the “Industrie 4.0” high-tech strategy of the German government, today Predictive Maintenance represents the informatization of production processes - intelligent IT-based production systems on the path towards a Smart Factory. Through the generation and analysis of different machine data, the predictive power of the state of industrial plants is not only enhanced, but also provides the basis for an improved planning certainty as well as the efficient planning of repair and maintenance work.
The document provides an introduction to predictive maintenance. It outlines the objectives of the course, which are to define predictive maintenance programs and various condition monitoring techniques, including vibration analysis, lubrication analysis, ultrasonic analysis, and thermographic analysis. The agenda covers topics such as predictive maintenance, maintenance planning, vibration analysis, and thermal analysis. The document then begins discussing predictive maintenance in more detail, defining preventative maintenance, predictive maintenance, and condition monitoring. It explores patterns of equipment failure and how to monitor equipment condition.
DeciLogic, l'envergure d'un projet décisionnelEric Mauvais
Présentation complète d'un projet décisionnel :
Décisionnel et performance d’entreprise
Les tableaux de bord
Analyse prédictive
La qualité des données
La conduite d’un projet décisionnel
Conclusion
Conférence Internet des objets IoT M2M - CCI Bordeaux - 02 04 2015 - Introduc...polenumerique33
Conférence "2 Avril Objets connectés, Internet des Objets (IoT) quels enjeux et opportunités pour les entreprises ?" du Pôle Numérique de la CCI Bordeaux - 02 04 2015 - Introduction de B Saintorens Pôle Numérique
Programme
"Panorama du marché et des solutions de l'Internet des objets (IoT) et du MachineToMachine (M2M)" par M. MONTEIL / FUSION LABS, société de conseil et intégration de projets IoT et M2M
"Retours d’expérience en conduite de projet, choix technologiques et compétences nécessaires"
M. GONNET / E-DEVICE société spécialisée dans les équipements connectés pour la santé.
M. GAUZES / TELECOM DESIGN, Partenaire de SIGFOX et société spécialisée dans le design et intégration de modules IoT / M2M et les applications embarquées
"La data élément clé au cœur des projets IoT" avec le retour d'expérience de M. VALLETTE / ANTS spécialiste du Big Data / analyse prédictive et de l'innovation ouverte
"Accompagnement pour l'intégration de solutions électroniques et logiciel embarqué" avec M. ROUBEIX / JESSICA FRANCE - CAP'TRONIC Région Aquitaine
"Appel à Manifestation d'Intérêt (AMI) Numérique" avec M. HARNAY (Chargé de mission "Data et objets connectés", CR Aquitaine )
Séance de Questions / Réponses
FORO_FINANCIERO: Performance Management In Turbulent TimesLKS, S. Coop.
This document discusses the role of performance management in turbulent times. It introduces IBM Cognos performance management software and provides examples of how it can be used. Performance management provides critical capabilities like measuring performance, reporting and analysis, planning, and identifying issues and opportunities. It acts as a GPS to help answer three key questions: how are we doing, why, and what should we be doing. IBM Cognos offers end-to-end performance management capabilities to help drive better business outcomes.
This document discusses IBM's business analytics development strategy as part of its "Smarter Planet" initiative. It provides examples of how IBM analytics solutions have helped organizations gain insights from large amounts of data, improve business performance, and optimize processes like marketing campaigns. The solutions discussed use IBM analytics software like SPSS Modeler to perform tasks like customer segmentation, predictive modeling, and data mining. Overall the document promotes IBM's full suite of business intelligence and predictive analytics capabilities.
"The myth of Certainty - Is implementation a naughty word?" by Steve BellOperae Partners
This document discusses challenges facing traditional approaches to enterprise IT management. It notes that enterprise IT has become fast, complex, competitive and disruptive. New technologies like mobile devices, social networking and cloud computing are driving more change. The traditional IT model focuses too much on keeping the lights on rather than innovation. It argues that doing new things is risky but necessary for transformation. Effective leadership is needed to guide IT through these challenges with competence rather than overconfidence.
The document discusses how an Automated Project Office (APO) system called ITBuzz can help a company gain visibility into projects, collect data on key performance metrics, and provide dashboards and reports to help managers identify issues early and ensure best practices are followed. ITBuzz integrates data from different domains like portfolio management, service delivery, and issue tracking to give managers a centralized view of project performance and health. Demonstrations of the ITBuzz system show how it can generate dashboards and reports on topics like resource loads, budgets, stage gates, and scorecards to help managers make more informed decisions.
This document introduces predictive maintenance, which uses data from connected devices and sensors to alert operators of potential issues before failures occur. It discusses three types of maintenance strategies - corrective, preventive, and predictive. Predictive maintenance can use simple condition-based monitoring of sensor data or more advanced model-based approaches involving machine learning. The document outlines architectures for basic and advanced predictive maintenance systems, covering components like connected devices, databases, APIs, and machine learning models. It emphasizes collecting sensor data, using tools like Elasticsearch and machine learning APIs, to build models that can optimize maintenance planning and increase equipment uptime.
Déjeuner Conférence - La maintenance à l'ère du prédictifagileDSS
Depuis plusieurs années déjà, la maintenance d’équipements a souvent été une source de problèmes pour bien des entreprises. D’un côté, si vous ne faites pas assez de maintenance, vous aurez une perte de productivité et d’un autre côté, si vous le faites trop fréquemment, vous aurez une explosion de coûts. Comment trouver un juste milieu permettant de maximiser la longévité des équipements tout en diminuant les coûts d’entretien? La réponse se trouve plus près que vous ne le croyez!
"Maximiser la production tout en diminuant les coûts de maintenance; comment les données d’aujourd’hui permettent de prédire la maintenance de demain?"
C’est pour bien comprendre l’impact de la maintenance prédictive que nous vous invitons à ce déjeuner-conférence le 20 mai prochain. En plus d’échanger avec vos pairs vous aurez l’occasion d’assister à la conférence de Thierry Desjardins sur les différentes applications de la maintenance prédictive et comment vous pourriez l’intégrer au sein de votre entreprise.
Des sujets et thèmes à ne pas manquer!
- Internet of Thing, iBeacon, GPS… Comment les technologies impacteront la maintenance de vos équipements?
- Comment savoir quels appareils ont besoin de maintenance, à quel moment et quel en est la cause?
- Comment évolueront les processus de maintenance? Est-ce que la maintenance just in time est accessible?
- Comment certaines entreprises ont réussi à opérationnaliser efficacement un modèle de maintenance prédictive?
The document discusses predictive analytics and forecasting. It defines predictive analytics as producing predictive scores for each customer or organizational element, while forecasting provides aggregate estimates such as total sales. Prediction involves classifying outcomes like customer retention, while forecasting understands trends and seasonality. Predictive modeling creates statistical models of future behavior by collecting and analyzing data to predict outcomes. Common predictive algorithms include logistic regression, decision trees, naive bayes, and clustering.
Predictive analytics can take you from guesswork to prediction by showing you where you are now, and where you can go next. It empowers you to analyze trends, patterns and relationships in your structured and unstructured data, apply those insights to predict future events, and act to achieve your desired outcomes.
Using the Industrial Internet to Move From Planned Maintenance to Predictive ...Sentient Science
Sentient Science provides Prognostics Health Management using the Industrial Internet and will show practical examples of driving down O&M costs by moving from Planned Preventative Maintenance (PPM) to Predictive Health Maintenance (PHM) for distributed assets. This presentation will outline how the IIC, and the practical benefits of integrating your distributed assets with prognostics, predictive models for life extension.
Big data is revolutionizing predictive maintenance and manufacturing intelligence in factories of the future. An automotive supplier implemented solutions from IBM (PMQ) and Braincube to analyze real-time data from production equipment, reduce scrap rates, and quickly address production issues. Data was ingested from sensors in factories and stored in Hadoop for analysis to generate insights for improving operations and equipment maintenance.
BA Summit 2014 Predictive maintenance: Met big data het lek dichtenDaniel Westzaan
Predictive maintenance is een van de big-datatoepassingen met enorme potentie. Voor Vitens, het grootste waterbedrijf van Nederland met meer dan 5,5 miljoen klanten, toonden CGI en IBM in een proof of value aan dat sneller en nauwkeuriger lekken lokaliseren in potentie miljoenen kan besparen.
De primaire taak van Vitens is ervoor zorgen dat klanten te allen tijde kunnen beschikken over topkwaliteit drinkwater. Met een netwerk van meer dan 49.000 km relatief oude pijpleiding, is het kostenefficiënt onderhouden van het netwerk een voortdurende uitdaging. Veelal wordt gekozen voor preventief onderhoud waardoor pijpleiding vaak eerder wordt vervangen dan strikt nodig is. Desondanks treden er regelmatig lekken op met soms grote schade en bedreiging van de leveringszekerheid.
Het lokaliseren van lekken gebeurt handmatig, wat veel tijd en geld kost omdat het zoekgebied vaak kan oplopen tot tientallen kilometers. Vitens vroeg CGI en IBM om met behulp van een big-datatoepassing een methode te ontwikkelen voor het lokaliseren van lekken. In een proof of value werd historische data geanalyseerd waarbij de helft van de geanalyseerde lekken tot op 2,5 km nauwkeurig kon worden gelokaliseerd.
Door sneller lekken te lokaliseren of zelfs te voorspellen, kan Vitens niet alleen direct besparen op inzet van medewerkers voor lokalisatie en bezetting van het callcenter. Het maakt het ook mogelijk om de effectieve levensduur van pijpleidingen te verlengen of, bij minder kritische delen van het netwerk, zelfs te kiezen voor de maximale levensduur waarbij pas leiding pas wordt vervangen bij het daadwerkelijk optreden van lekken.
This document discusses predictive maintenance using sensor data in utility industries. It describes how sensors can monitor infrastructure and predict failures by analyzing patterns in sensor data using machine learning models. An architecture is proposed that uses big data frameworks like Spark, Kafka and HBase to collect, analyze and store large volumes of real-time sensor data at scale. Predictive analytics on this data with techniques like clustering and regression can detect anomalies and predict failures to enable condition-based maintenance in utilities. Modeling uncertain sensor readings with probabilistic and autoregressive approaches is also discussed.
Predictive Maintenance by analysing acoustic data in an industrial environmentCapgemini
This document discusses predictive maintenance through acoustic data analysis in an industrial setting. It describes using sensors and data collection from machines to detect potential issues through acoustic and vibration analysis. The customer case study involves implementing a predictive maintenance platform using acoustic data from an air compressor to identify mechanical, electrical, and other problems to decrease maintenance costs and increase machine availability. The solution involves collecting machine and sensor data, storing it in an IIoT platform, and performing analytics using predictive models and dashboards.
Predictive maintenance uses sensors and data analytics to predict failures in machines before they occur. It aims to replace parts that will break imminently, rather than all parts preventatively. This approach reduces costs compared to traditional preventative maintenance. Developing an effective predictive maintenance program requires understanding machine operations and economics, identifying relevant data sources, and creating predictive models. It is a collaborative process without single solutions, as each machine system presents unique challenges. The goal is finding the optimal balance of predictive efforts and resulting cost savings.
The document discusses predictive maintenance in oil refineries using analytics. It notes that most refinery shutdowns are unplanned and due to mechanical failures. Traditional maintenance methods are reactive or preventive. Predictive analytics uses real-time equipment data and historical maintenance records to monitor equipment health and estimate remaining lifespan. This allows refineries to schedule maintenance more efficiently to avoid breakdowns and reduce downtime. The document provides examples of predictive algorithms and dashboards that can integrate data for predictive maintenance to optimize operations and supply chain processes. It estimates that a typical 100,000 bpd refinery could save over $3.5 million annually through predictive maintenance.
The Science of Predictive Maintenance: IBM's Predictive Analytics SolutionSenturus
Overview of IBM’s Predictive Maintenance and Quality (PMQ) solution. View the webinar video recording and download this deck: http://www.senturus.com/resources/science-predictive-maintenance/.
We show you the PMQ solution can keep manufacturing processes, infrastructure and field equipment running to maximize use and performance, while minimizing costs.
We show how you can use powerful analytics and data integration to help: Anticipate asset maintenance and product quality problems, Reduce unscheduled asset downtime, Spend less time solving production machinery and field asset problems, Improve asset productivity and process quality, Monitor how assets are performing in real-time and predict what will happen next.
Senturus, a business analytics consulting firm, has a resource library with hundreds of free recorded webinars, trainings, demos and unbiased product reviews. Take a look and share them with your colleagues and friends: http://www.senturus.com/resources/.
International competition, shorter product life cycles and faster technological leaps forward – these are only a few of the challenges the production of a company is facing in the 21st century. In order to survive in an environment like this, resource-efficient and secure planning of production processes are necessary to guarantee a consistent and high quality output. Unforeseeable machine failures as well as performance drops or deterioration in quality because of defective system components can lead to shortness of supplies which will eventually weaken the market position of the entire organization.
To meet these requirements organizations are increasingly focusing on the improvement of maintenance, repair and operations of their machinery. In the previous years, the industry shifted their focus away from only reactive repair mechanisms towards the predictive coordination of machine maintenance.
Predictive Maintenance falls under the category of the future of maintenance developments. Originally developed in the course of the “Industrie 4.0” high-tech strategy of the German government, today Predictive Maintenance represents the informatization of production processes - intelligent IT-based production systems on the path towards a Smart Factory. Through the generation and analysis of different machine data, the predictive power of the state of industrial plants is not only enhanced, but also provides the basis for an improved planning certainty as well as the efficient planning of repair and maintenance work.
The document provides an introduction to predictive maintenance. It outlines the objectives of the course, which are to define predictive maintenance programs and various condition monitoring techniques, including vibration analysis, lubrication analysis, ultrasonic analysis, and thermographic analysis. The agenda covers topics such as predictive maintenance, maintenance planning, vibration analysis, and thermal analysis. The document then begins discussing predictive maintenance in more detail, defining preventative maintenance, predictive maintenance, and condition monitoring. It explores patterns of equipment failure and how to monitor equipment condition.
DeciLogic, l'envergure d'un projet décisionnelEric Mauvais
Présentation complète d'un projet décisionnel :
Décisionnel et performance d’entreprise
Les tableaux de bord
Analyse prédictive
La qualité des données
La conduite d’un projet décisionnel
Conclusion
Conférence Internet des objets IoT M2M - CCI Bordeaux - 02 04 2015 - Introduc...polenumerique33
Conférence "2 Avril Objets connectés, Internet des Objets (IoT) quels enjeux et opportunités pour les entreprises ?" du Pôle Numérique de la CCI Bordeaux - 02 04 2015 - Introduction de B Saintorens Pôle Numérique
Programme
"Panorama du marché et des solutions de l'Internet des objets (IoT) et du MachineToMachine (M2M)" par M. MONTEIL / FUSION LABS, société de conseil et intégration de projets IoT et M2M
"Retours d’expérience en conduite de projet, choix technologiques et compétences nécessaires"
M. GONNET / E-DEVICE société spécialisée dans les équipements connectés pour la santé.
M. GAUZES / TELECOM DESIGN, Partenaire de SIGFOX et société spécialisée dans le design et intégration de modules IoT / M2M et les applications embarquées
"La data élément clé au cœur des projets IoT" avec le retour d'expérience de M. VALLETTE / ANTS spécialiste du Big Data / analyse prédictive et de l'innovation ouverte
"Accompagnement pour l'intégration de solutions électroniques et logiciel embarqué" avec M. ROUBEIX / JESSICA FRANCE - CAP'TRONIC Région Aquitaine
"Appel à Manifestation d'Intérêt (AMI) Numérique" avec M. HARNAY (Chargé de mission "Data et objets connectés", CR Aquitaine )
Séance de Questions / Réponses
FORO_FINANCIERO: Performance Management In Turbulent TimesLKS, S. Coop.
This document discusses the role of performance management in turbulent times. It introduces IBM Cognos performance management software and provides examples of how it can be used. Performance management provides critical capabilities like measuring performance, reporting and analysis, planning, and identifying issues and opportunities. It acts as a GPS to help answer three key questions: how are we doing, why, and what should we be doing. IBM Cognos offers end-to-end performance management capabilities to help drive better business outcomes.
This document discusses IBM's business analytics development strategy as part of its "Smarter Planet" initiative. It provides examples of how IBM analytics solutions have helped organizations gain insights from large amounts of data, improve business performance, and optimize processes like marketing campaigns. The solutions discussed use IBM analytics software like SPSS Modeler to perform tasks like customer segmentation, predictive modeling, and data mining. Overall the document promotes IBM's full suite of business intelligence and predictive analytics capabilities.
"The myth of Certainty - Is implementation a naughty word?" by Steve BellOperae Partners
This document discusses challenges facing traditional approaches to enterprise IT management. It notes that enterprise IT has become fast, complex, competitive and disruptive. New technologies like mobile devices, social networking and cloud computing are driving more change. The traditional IT model focuses too much on keeping the lights on rather than innovation. It argues that doing new things is risky but necessary for transformation. Effective leadership is needed to guide IT through these challenges with competence rather than overconfidence.
The document discusses how an Automated Project Office (APO) system called ITBuzz can help a company gain visibility into projects, collect data on key performance metrics, and provide dashboards and reports to help managers identify issues early and ensure best practices are followed. ITBuzz integrates data from different domains like portfolio management, service delivery, and issue tracking to give managers a centralized view of project performance and health. Demonstrations of the ITBuzz system show how it can generate dashboards and reports on topics like resource loads, budgets, stage gates, and scorecards to help managers make more informed decisions.
Enable process visbility: The Value Proposition for SAP customers IBM WebSphereIndia
This presentation was given by Joe Kaczmarek, Worldwide Sales Leader, IBM Business Process Management and Operational Decision Managemnt.
It was presented during Impact 2012 in Mumbai on the 1st of June, 2012.
The document discusses challenges with current performance management processes and the benefits of Prism EPM practice. It outlines common problems such as poor translation of strategies to budgets, lack of consensus, inaccurate information, and resources consumed by cumbersome processes. The Prism approach aims to transform performance management by providing a common planning platform, linked finance and operations, data/process standards, and advanced analytics to gain time, control and confidence.
Find how to add more value to your Business Intelligence and Performance Management solutions by incorporating predictive analytics using IBM Cognos 10. Learn about the integration of Predictive Analytics and SPSS functionality, and how it fits with the Cognos platform. View the video recording and download this deck: http://www.senturus.com/resources/ibm-cognos-10-demo-predictive-analytics/.
Senturus, a business analytics consulting firm, has a resource library with hundreds of free recorded webinars, trainings, demos and unbiased product reviews. Take a look and share them with your colleagues and friends: http://www.senturus.com/resources/.
This workshop aims to help process managers improve their processes. The agenda covers process management principles, the role of process managers, and a day-to-day process management model involving managing, defining, quantitatively managing, and optimizing processes. Process managers are responsible for end-to-end key processes and reporting changes to process owners. Tools covered include process mapping, defining customers and requirements, setting performance targets and measures, and using these for daily management and continuous improvement of processes.
This chapter discusses operations management. It provides an overview of key topics in OM including what OM is, the role of operations managers, productivity, and the history and evolution of OM. Some key points covered include defining OM as transforming inputs into outputs, the 10 critical decisions OM managers make, factors that influence productivity, and the growth of the services sector globally.
Operaton management chap 1 by RAJA ZEESHANZeeshan Afzal
This chapter discusses operations management. It provides an overview of key topics in OM including what OM is, the role of operations managers, productivity, and critical decisions in OM. It also reviews the history and evolution of OM concepts from figures like Taylor, Ford, and Deming. The chapter outlines differences between goods and services and trends shifting operations toward global and high-tech approaches.
The document outlines chapter 1 of an operations management textbook. It includes:
1) An introduction to operations management and the distinction between goods and services.
2) A description of the key functions of operations management including production, organizing production processes, and increasing productivity.
3) An overview of what operations managers do, including basic management functions like planning, organizing, staffing, leading, and controlling.
Leveraging Analytics to achieve your Customer Experience ObjectivesJj HanXue
Presented by Graham Cobb, European Industry Leader for Banking and Financial Markets, Business Analytics at IBM
For the complete presentation, see http://bit.ly/NOsWDA.
Alternatively, please visit http://www.customerexperiencefinance.com/share.
This document discusses IBM's social business solutions and frameworks. It summarizes that IBM provides modular capabilities to accelerate the development of advanced social business solutions, including social analytics, collaboration services, and connectors. It also describes IBM's social business toolkit which is built on open standards and includes components like profiles, communities, messaging, and mobile support.
Data Governance, understand what you already know (IBM Global Business Services)IBM Danmark
This document discusses data governance and outlines IBM's leadership in this area. It summarizes that IBM created a Data Governance Council 5 years ago and now leads an Information Governance Community of 550 people working on global challenges. The community is updating the Data Governance Maturity Model to focus on business goals and outcomes by including both technical and process enablers.
The document provides an overview of strategies and best practices for leading and managing a title insurance company. It discusses the importance of leadership, setting clear goals and direction, developing employees, and driving productivity. Key aspects of managing a title insurance company include assessing the organization, measuring performance metrics, influencing positive employee behavior, effective communication, and managing change.
To foster a learning environment that builds upon formal learning, engages employees and creates competitive differentiation, organizations must embrace and support learning wherever it occurs. To do so, we need to provide the tools and technology that enable this to happen, as well as an understanding of how the role of learning professionals is evolving to support learning beyond the classroom. Join us for this one-hour webinar to discover how you can keep your training and development initiative up to pace with the rapidly evolving dynamics of how, when and where employees acquire knowledge. This webinar will cover an introduction to the SuccessFactors learning product and how the acquisition of Plateau Systems has propelled SuccessFactors into a leadership position.
The document outlines 10 ways for IT departments to modernize and better meet business needs. It discusses shifting IT's role from simply technology delivery to also improving business results and providing leadership. It recommends IT focus on business priorities, demonstrate value through outcomes rather than costs, and use business language and disciplines to build trust with executive leadership. Managing the full technology lifecycle, sourcing appropriately, and focusing on continual implementation of high-value initiatives can help IT transform into a strategic partner.
Knowledge IT is a software company that offers various SaaS applications for different industries and business needs. Their applications include solutions for intellectual property management, HR strategy, CRM, emergency management, and corporate governance. They provide customizable applications that allow users to only use necessary functions. Knowledge IT's applications support small businesses and large corporations by increasing effectiveness and reducing expenses. Their applications have different tiers for individual, small business, enterprise, and large company needs.
Knowledge IT is a software company that offers industry-specific solutions including intellectual property management, HR management, and emergency response management. It provides 5 main products: Object Manager, Administration Manager, Review Manager, Schedule Manager, and Corporate Manager. These products each have additional modules like Forensic Manager, Workflow Manager, and Billing Manager. Knowledge IT takes a software-as-a-service approach, allowing customers to use only the necessary functions. It offers 4 types of applications - Professional, Business, Enterprise, and Ultimate - tailored for organizations of different sizes. The document provides examples of login screens, data import/export, and escalation mail views within Knowledge IT's software products.
This case study examines organizational and human resource management issues at Inspire Technologies, a growing Indian startup, that have contributed to its failure to realize its strategic vision. Inspire Technologies was founded in 1994 and has grown to $900 million in revenues and 11,000 employees but faces challenges. Specifically, its HR practices such as a lack of training, performance management, and succession planning have led to disengaged employees, high attrition, and lower customer satisfaction impacting business results. The case highlights how HR must mature and align with business strategy to help organizations achieve their goals.
Similar to Business Insight and Predictive Analysis (20)
The document summarizes an employment opportunity for a Driver & Administrative Assistant position with the Competitiveness Enhancement and Enterprise Development Project II (CEED II) located in Chisinau, Moldova. Main responsibilities include driving CEED II team members and consultants throughout Moldova using a project vehicle, assisting with basic office administration tasks and event organization, and assisting the project team leader. Qualifications sought include a valid driver's license, prior driving or office experience, strong interpersonal and communication skills, and fluency in Romanian and Russian with some English skills preferred.
The USAID CEED II project is seeking a part-time internet marketing and social media consultant to help develop and implement a marketing strategy for a new Moldova tourism website. The consultant will be responsible for developing content for social media platforms, overseeing paid advertising campaigns, building links to other websites, and suggesting ways to drive traffic to the site. The ideal candidate will have experience with internet marketing, social media platforms, photography, journalism, and the tourism industry. They must be able to commit 5 days per month for at least 12 months.
Asociația Producătorilor și exportatorilor de Vinuri din Moldova organizează I ediție a evenimentului de promovare "Vernisajul Vinului". La acest eveniment participă companiile vinicole membre ale Asociației, și producătorii care arată succese remarcabile, prin vinurile lor, pe piata locala si pietele externe.
Proiectul USAID CEED II Vă invită la Masa Rotundă “Piața resurselor financiare: oferte și posibilități” ce va avea loc pe 06 decembrie 2011, ora 09. 00, la LEOGRAND Hotel, sala Begonia (str. Mitropolit Varlaam, 77). Veți afla despre ofertele curente, posibilitățile de accesare a resurselor financiare prin produse speciale și surse alternative pe piata RM.
The document outlines Mexico's public policy to develop the IT-ITES sector by fostering its growth through key national initiatives and programs like PROSOFT, highlighting Mexico's competitive advantages in the global IT market such as its large pool of human capital and geographic proximity to the US market. It also provides an analysis of Mexico's IT industry profile and achievements in expanding IT exports and the number of IT companies and clusters over the past decade.
This document outlines the mission, vision, and 3-year goals of QLab, an organization that supports the competitiveness and maturation of Moldova's ICT sector. QLab's mission is to actively transfer knowledge to contribute to economic growth through enhancing the ICT sector. Its vision is to become the main counterpart for businesses and government on ICT research and innovation. Over 3 years, QLab aims to train one third of private IT companies and specialists, triple the output of the education system in IT, and improve processes and certification for private companies in strategic areas.
This document discusses challenges with current ICT education and strategies for improving student outcomes. It argues that ICT curriculums teach irrelevant subjects and use outdated teaching methods, leaving graduates unprepared for the workforce. As a result, students are disillusioned, companies struggle to find qualified employees, and economic growth lags. The document proposes adopting a teaching approach based on cognitive science and learning principles. This includes using a story-centered apprenticeship model with expert mentors and experiential learning. The goal is to provide students with both technical and soft skills training through focused, sequential courses with business context and participatory multimedia learning.
The document outlines Singapore's ICT capacity building plan from cradle to grave. It aims to address the projected need for 170,000 ICT jobs and 25,000 related jobs by 2015. The plan starts early by nurturing secondary school students' interest in ICT through extracurricular activities. It helps working professionals upgrade their skills and guides career development using the National Infocomm Competency Framework. It also empowers seniors with ICT knowledge and a sense of self-worth through the Silver Infocomm Day. The overarching goal is to develop ICT manpower from an early age, continuously upgrade skills, and ensure no one is left behind.
The document discusses the role of ICT certification in Europe. It provides an overview of the European Qualifications Framework and related initiatives like the Bologna Process and Europass that aim to create a common understanding and structure for qualifications. It also describes the European e-Competence Framework that defines e-competences and competence levels. Finally, it maps out the organizations involved in ICT certification in Romania and their relationships.
The document discusses Slovenia's Export Association of Slovenian ICT (ZITex) and its eGovernment Competence Center. ZITex was established in 2008 and has 70 member companies that work to increase ICT exports from Slovenia by 100% in 5 years. The eGovernment Competence Center within ZITex promotes Slovenian eGovernment solutions internationally and supports projects in areas like public finances, taxes, social affairs, and more. It aims to improve cooperation with government institutions and participate in international exhibitions and conferences. The document then provides examples of successful Slovenian eGovernment solutions for areas like businesses, travel documents, public registers, and etaxes.
George Brashnarov gave a presentation on country branding and IT competitiveness. He discussed how a country's brand image affects its business, trade, tourism, and diplomatic relations. A positive brand opens doors while a negative one requires overcoming stereotypes. He analyzed Moldova's positioning compared to other countries and highlighted the importance of understanding a country's image, collaborating between sectors to define a national strategy and story, and producing innovative initiatives.
George Brashnarov gave a presentation on country branding and IT competitiveness. He discussed how a country's brand image affects its business, trade, tourism, and diplomatic relations. Countries with positive reputations find success globally more easily, while those with negative stereotypes face more challenges. He analyzed data on IT competitiveness rankings of countries in Central and Eastern Europe. Brashnarov concluded countries must strategically promote their real strengths through coordination among stakeholders to effectively develop or alter their national brands over the long term.
The document discusses challenges for developing a successful information society. It outlines the Europe 2020 agenda and the Digital Agenda for Europe, which includes 7 priority areas such as digital single market, faster internet access, and digital skills. It also discusses foresight as a tool to develop visions of the future. The document presents CeGD's 7 pillar model for a sustainable information society development, including policy environment, legal framework, ICT business solutions, and research. It stresses the importance of including stakeholders in all steps from vision to policy to services.
This document summarizes IBM's perspective on cloud computing in 2011 and beyond. It discusses how cloud computing leverages existing technologies like virtualization, automation, and standardization to provide benefits like low costs, flexibility, simplicity, and rapid provisioning. IBM positions itself as focusing on enterprise clients and industries, with cloud services that are optimized, integrated, and managed. Examples are given of how governments and educational institutions are using the cloud to increase efficiency, collaboration, and access to resources.
Implicitly or explicitly all competing businesses employ a strategy to select a mix
of marketing resources. Formulating such competitive strategies fundamentally
involves recognizing relationships between elements of the marketing mix (e.g.,
price and product quality), as well as assessing competitive and market conditions
(i.e., industry structure in the language of economics).
The 10 Most Influential Leaders Guiding Corporate Evolution, 2024.pdfthesiliconleaders
In the recent edition, The 10 Most Influential Leaders Guiding Corporate Evolution, 2024, The Silicon Leaders magazine gladly features Dejan Štancer, President of the Global Chamber of Business Leaders (GCBL), along with other leaders.
Tata Group Dials Taiwan for Its Chipmaking Ambition in Gujarat’s DholeraAvirahi City Dholera
The Tata Group, a titan of Indian industry, is making waves with its advanced talks with Taiwanese chipmakers Powerchip Semiconductor Manufacturing Corporation (PSMC) and UMC Group. The goal? Establishing a cutting-edge semiconductor fabrication unit (fab) in Dholera, Gujarat. This isn’t just any project; it’s a potential game changer for India’s chipmaking aspirations and a boon for investors seeking promising residential projects in dholera sir.
Visit : https://www.avirahi.com/blog/tata-group-dials-taiwan-for-its-chipmaking-ambition-in-gujarats-dholera/
Anny Serafina Love - Letter of Recommendation by Kellen Harkins, MS.AnnySerafinaLove
This letter, written by Kellen Harkins, Course Director at Full Sail University, commends Anny Love's exemplary performance in the Video Sharing Platforms class. It highlights her dedication, willingness to challenge herself, and exceptional skills in production, editing, and marketing across various video platforms like YouTube, TikTok, and Instagram.
buy old yahoo accounts buy yahoo accountsSusan Laney
As a business owner, I understand the importance of having a strong online presence and leveraging various digital platforms to reach and engage with your target audience. One often overlooked yet highly valuable asset in this regard is the humble Yahoo account. While many may perceive Yahoo as a relic of the past, the truth is that these accounts still hold immense potential for businesses of all sizes.
How MJ Global Leads the Packaging Industry.pdfMJ Global
MJ Global's success in staying ahead of the curve in the packaging industry is a testament to its dedication to innovation, sustainability, and customer-centricity. By embracing technological advancements, leading in eco-friendly solutions, collaborating with industry leaders, and adapting to evolving consumer preferences, MJ Global continues to set new standards in the packaging sector.
Unveiling the Dynamic Personalities, Key Dates, and Horoscope Insights: Gemin...my Pandit
Explore the fascinating world of the Gemini Zodiac Sign. Discover the unique personality traits, key dates, and horoscope insights of Gemini individuals. Learn how their sociable, communicative nature and boundless curiosity make them the dynamic explorers of the zodiac. Dive into the duality of the Gemini sign and understand their intellectual and adventurous spirit.
Understanding User Needs and Satisfying ThemAggregage
https://www.productmanagementtoday.com/frs/26903918/understanding-user-needs-and-satisfying-them
We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.
In this webinar, we won't focus on the research methods for discovering user-needs. We will focus on synthesis of the needs we discover, communication and alignment tools, and how we operationalize addressing those needs.
Industry expert Scott Sehlhorst will:
• Introduce a taxonomy for user goals with real world examples
• Present the Onion Diagram, a tool for contextualizing task-level goals
• Illustrate how customer journey maps capture activity-level and task-level goals
• Demonstrate the best approach to selection and prioritization of user-goals to address
• Highlight the crucial benchmarks, observable changes, in ensuring fulfillment of customer needs
Event Report - SAP Sapphire 2024 Orlando - lots of innovation and old challengesHolger Mueller
Holger Mueller of Constellation Research shares his key takeaways from SAP's Sapphire confernece, held in Orlando, June 3rd till 5th 2024, in the Orange Convention Center.
The Evolution and Impact of OTT Platforms: A Deep Dive into the Future of Ent...ABHILASH DUTTA
This presentation provides a thorough examination of Over-the-Top (OTT) platforms, focusing on their development and substantial influence on the entertainment industry, with a particular emphasis on the Indian market.We begin with an introduction to OTT platforms, defining them as streaming services that deliver content directly over the internet, bypassing traditional broadcast channels. These platforms offer a variety of content, including movies, TV shows, and original productions, allowing users to access content on-demand across multiple devices.The historical context covers the early days of streaming, starting with Netflix's inception in 1997 as a DVD rental service and its transition to streaming in 2007. The presentation also highlights India's television journey, from the launch of Doordarshan in 1959 to the introduction of Direct-to-Home (DTH) satellite television in 2000, which expanded viewing choices and set the stage for the rise of OTT platforms like Big Flix, Ditto TV, Sony LIV, Hotstar, and Netflix. The business models of OTT platforms are explored in detail. Subscription Video on Demand (SVOD) models, exemplified by Netflix and Amazon Prime Video, offer unlimited content access for a monthly fee. Transactional Video on Demand (TVOD) models, like iTunes and Sky Box Office, allow users to pay for individual pieces of content. Advertising-Based Video on Demand (AVOD) models, such as YouTube and Facebook Watch, provide free content supported by advertisements. Hybrid models combine elements of SVOD and AVOD, offering flexibility to cater to diverse audience preferences.
Content acquisition strategies are also discussed, highlighting the dual approach of purchasing broadcasting rights for existing films and TV shows and investing in original content production. This section underscores the importance of a robust content library in attracting and retaining subscribers.The presentation addresses the challenges faced by OTT platforms, including the unpredictability of content acquisition and audience preferences. It emphasizes the difficulty of balancing content investment with returns in a competitive market, the high costs associated with marketing, and the need for continuous innovation and adaptation to stay relevant.
The impact of OTT platforms on the Bollywood film industry is significant. The competition for viewers has led to a decrease in cinema ticket sales, affecting the revenue of Bollywood films that traditionally rely on theatrical releases. Additionally, OTT platforms now pay less for film rights due to the uncertain success of films in cinemas.
Looking ahead, the future of OTT in India appears promising. The market is expected to grow by 20% annually, reaching a value of ₹1200 billion by the end of the decade. The increasing availability of affordable smartphones and internet access will drive this growth, making OTT platforms a primary source of entertainment for many viewers.
Building Your Employer Brand with Social MediaLuanWise
Presented at The Global HR Summit, 6th June 2024
In this keynote, Luan Wise will provide invaluable insights to elevate your employer brand on social media platforms including LinkedIn, Facebook, Instagram, X (formerly Twitter) and TikTok. You'll learn how compelling content can authentically showcase your company culture, values, and employee experiences to support your talent acquisition and retention objectives. Additionally, you'll understand the power of employee advocacy to amplify reach and engagement – helping to position your organization as an employer of choice in today's competitive talent landscape.
Navigating the world of forex trading can be challenging, especially for beginners. To help you make an informed decision, we have comprehensively compared the best forex brokers in India for 2024. This article, reviewed by Top Forex Brokers Review, will cover featured award winners, the best forex brokers, featured offers, the best copy trading platforms, the best forex brokers for beginners, the best MetaTrader brokers, and recently updated reviews. We will focus on FP Markets, Black Bull, EightCap, IC Markets, and Octa.
IMPACT Silver is a pure silver zinc producer with over $260 million in revenue since 2008 and a large 100% owned 210km Mexico land package - 2024 catalysts includes new 14% grade zinc Plomosas mine and 20,000m of fully funded exploration drilling.