UTAD - Jornadas de Informática - Potential of Big Data
•Télécharger en tant que PPTX, PDF•
1 j'aime•323 vues
Short Presentation given at the Universidade de Tras dos Montes (UTAD) IT event for students and faculty members. The talk is meant to be an overview of Big Data and how microsoft technologies tackle that subject and how students could leverage these tools on their projects and future.
Recommandé
Recommandé
Contenu connexe
Tendances
Tendances (20)
En vedette
En vedette (7)
Similaire à UTAD - Jornadas de Informática - Potential of Big Data
Similaire à UTAD - Jornadas de Informática - Potential of Big Data (20)
Plus de Marco Silva
Plus de Marco Silva (8)
Dernier
Dernier (20)
UTAD - Jornadas de Informática - Potential of Big Data
- 5. • Analysis
- 7. • Analysis • Transportation • Access Control
- 8. • Analysis • Transportation • Access Control • Replication
- 9. • Analysis • Transportation • Access Control • Replication • Storage
- 15. Data at Rest Data in Motion Data in Many Forms Data in Doubt Data into Money
- 19. map (in_key, in_value) -> list(out_key, intermediate_value) reduce (out_key, list(intermediate_value)) -> list(out_value)
- 20. Read lines from file Convert line to Key-Value Pair(s) Filter (by key/value) Combine Values with similar Keys Shuffle data across nodes for reduces by Key Sort by Key Aggregate (reduce) Filter (based on aggregated value) Write results to file Map Reduce
- 21. Deer Bear River Car Car River Deer Car Bear Deer Bear River Car Car River Deer Car Bear Deer, 1 Bear, 1 River, 1 Car, 1 Car, 1 River, 1 Deer, 1 Car, 1 Bear, 1 Bear, 1 Bear, 1 Car, 1 Car, 1 Car, 1 Deer, 1 Deer, 1 River, 1 River, 1 Bear, 2 Car, 3 Deer, 2 River, 2 Bear, 2 Car, 3 Deer, 2 River, 2
- 23. Windows Azure Blob Storage (WABS) Distributed File System Applications (by cluster type) Spark Spark Spark Streaming Spark MLlib Storm Storm Kafka HBase HBase Zookeeper …. Hadoop HDFS APIs MapReduce Sqoop Pig Hive (Tez) Mahout Oozie Yet Another Resource Negotiator (YARN) Acquisition Azure Data Factory Stream Processing • Steam Analytics • Event Hub Machine Learning Azure Machine Learning NoSQL Table Storage DocumentDB
- 28. Process real-time data in Azure using a simple SQL language Consumes millions of real-time events from Event Hub collected from devices, sensors, infrastructure, and applications Performs time-sensitive analysis using SQL-like language against multiple real-time streams and reference data Outputs to persistent stores, dashboards or back to devices Point of Service Devices Self Checkout Stations Kiosks Smart Phones Slates/ Tablets PCs/ Laptops Servers Digital Signs Diagnostic EquipmentRemote Medical Monitors Logic Controllers Specialized DevicesThin Clients Handhelds Security POS Terminals Automation Devices Vending Machines Kinect ATM
- 29. Fully managed service to support orchestration of data movement and processing Connect to relational or non-relational data that is on-premises or in the cloud Single pane of glass to monitor and manage data processing pipelines. Publish to Power BI Compose and orchestrate data services at scale C# MapReduce Trusted data BI & analytics Hive Pig Stored Procedures Azure Machine Learning
- 30. ML Algorithms are best of breed and embrace OSS • MS + R + Python + BYOA ML Studio for productive development • Faster experiments results in faster improvements • Visual Workflows & ML Experiments ML Operationalization to remove deployment friction • Build entire ML Apps & Deploy as Cloud APIs ML Gallery • Provide ML applications like apps in an ‘app store’ • Publish/consume APIs in a 2 sided market Help organizations eliminate undifferentiated heavy lifting Powerful predictive analytics in Azure Azure Machine Learning
- 31. Enable enterprise-wide self-service data source registration and discovery A metadata repository that allow users to register, enrich, understand, discover, and consume data sources Delivers differentiated value though ‒ Data source discovery; rather than data discovery ‒ Support for data from any source; Structured and unstructured, on premises and in the cloud ‒ Publishing, discovery and consumption through any tool ‒ Annotation crowdsourcing: empowering any user to capture and share their knowledge. This, while allowing IT to maintain control and oversight
- 33. Power Map with custom maps allows deeper geospatial explorations and storytelling Power Query brings modern data discovery, connectivity, shaping and publishing to Excel Analysis Services connectivity for Power View allows users to leverage existing IT investments Support for more sophisticated data models in Power Pivot – date and calc tables, many-to-many relationships, etc Power Map w/ Custom Maps Power Query
- 34. Power BI dashboards and KPIs for monitoring the health of your business New data visualizations and touch- optimized exploration in HTML5 Power BI mobile apps across devices including iPad and iPhone Support for new data sources including SalesForce.com, Dynamics CRM online and SQL Server Analysis Services Dashboard Tree Map
- 35. A hyper scale repository for big data analytic workloads • Hadoop File System compatible with HDFS™ • Integrated with HDInsight, Revolution R, Hortonworks, Cloudera • Based on YARN • Petabyte-sized files • No size limits to data in single account • Massive throughput to increase performance • AAD based access control • Data management Devices
- 36. Azure Data Lake Analytics Service A new distributed analytics service Built on Apache YARN Scales dynamically with the turn of a dial Pay by the query Supports Azure AD for access control, roles, and integration with on-prem identity systems Built with U-SQL to unify the benefits of SQL with the power of C# Processes data across Azure 37
- 37. Stream Analytics TransformIngest Example overall data flow and Architecture Web logs Present & decide IoT, Mobile Devices etc. Social Data Event Hubs HDInsight Azure Data Factory Azure SQL DB Azure Data Lake Azure Machine Learning (Fraud detection etc.) Power BI Web dashboards Mobile devices DW / Long-term storage Predictive analytics Event & data producers Azure SQL DW
- 39. From zero to finished, analytical apps and scenarios Pre-Configured Allows customers to accelerates the process of building analytical apps Go from zero to sample app in minutes, from sample app to finished solution in a week
- 43. The Internet of Things – Manufacturing GLOBAL OPERATIONS I can see my production line status and recommend adjustments to better manage operational cost. I know when to deploy the right resources for predictive maintenance to minimize equipment failures and reduce service cost. I gain insight into usage patterns from multiple customers and track equipment deterioration, enabling me to reengineer products for better performance. MANUFACTURING PLANT Aggregate product data, customer sentiment, and other third-party syndicated data to identify and correct quality issues. Manage equipment remotely, using temperature limits and other settings to conserve energy and reduce costs. Monitor production flow in near-real time to eliminate waste and unnecessary work in process inventory. GLOBAL FACILITY INSIGHT Implement condition- based maintenance alerts to eliminate machine down-time and increase throughput. THIRD-PARTY LOGISTICS Provide cross-channel visibility into inventories to optimize supply and reduce shared costs in the value chain. CUSTOMER SITE Transmits operational information to the partner (e.g. OEM) and to field service engineers for remote process automation and optimization. Management R&D Field Service
- 44. The Internet of Things – Retail Marketing MOBILE EXPERIENCE STORE PURCHASE HISTORY: Dog food M T W Th F Weather Data Merchandizing IN-STORE SHOPPING Online Behavior Shopping Route REFLECTION BEST DEAL INSPIRATION, DISCOVERY, PRE-SHOPPING Purchase History RIGHT OFFER, RIGHT TIME, RIGHT PLACE IoT DATA FUELS CUSTOMER AND PRODUCT INSIGHTS 1001001001001001001011010010101100101101001010000101010101011010010110100101010 CHECKOUT Retail 200ft Have you seen these! We’re ready for the rain! #ShoppingSuccess 42
- 45. The Internet of Things – Hospitality & Travel Save money with more accurate arrival time predictions Provide a seamless traveler experience from the curb to the gate, and enable context-sensitive notifications Provide guests with a connected tablet to control room settings, request services, and provide feedback—and save their preferences Centrally manage critical station assets—everything from communication and security networks to escalators and HVAC control systems Send reports and sensor data to maintenance crews for faster turnaround Configure notifications on employee devices of restaurant equipment maintenance needs Manage inventory in near real time, and monitor food storage temperatures and expirations NEW GATE: B7 25% off ON TIME
- 47. • • •
Notes de l'éditeur
- The Cortana Analytics Suite integrates with Cortana, Microsoft’s digital personal assistant. Cortana works with the Cortana Analytics Suite to enable your business, and or your customers business, to get things done in more helpful, proactive, and natural ways. Building on years of Microsoft’s research and innovation in perceptual intelligence including speech recognition, natural user interaction, predictive and advanced analytics, Cortana brings the capabilities of a personal digital assistant to business. Cortana Analytics helps you Interact with customers and stakeholders in new ways and infer intent with vision, face, speech, text and sentiment analysis to customize responses and drive appropriate actions. We call this Perceptual Intelligence. The Vision, Face, Text and Speech APIs enable these new types of scenarios. What we showcased with www.how-old.net is a small example of what is possible.
- Cortana Analytics Suite delivers an end-to-end platform with integrated and comprehensive set of tools and services to help you build intelligent applications that let you easily take advantage of Advanced Analytics. First Cortana Analytics Suite provides services to bring data in, so that you can analyze it. It provides information management capabilities like Azure Data Factory so that you can pull data from any source (relational DB like SQL or non-relational ones like your Hadoop cluster) in an automated and scheduled way, while performing the necessary data transforms (like setting certain data colums as dates vs. currency etc). Think ETL (Extract, Transform, Load) in the cloud. Event hub does the same for IoT type ingestion of data that streams in from lots of end points. The data brought in then can be persisted in flexible big data storage services like Data Lake and Azure SQL DW. You can then use a wide range of analytics services from Azure ML to Azure HDInsight to Azure Stream Analytics to analyze the data that are stored in the big data storage. This means you can create analytics services and models specific to your business need (say real time demand forecasting). The resultant analytics services and models created by taking these steps can then be surfaced as interactive dashboards and visualizations via Power BI These same analytics services and models created can also be integrated into various different UI (web apps or mobile apps or rich client apps) as well as via integrations with Cortana, so end users can naturally interact with them via speech etc., and so that end users can get proactively be notified by Cortana if the analytics model finds a new anomaly (unusual growth in certain product purchases- in the case of real time demand forecasting example given above) or whatever deserves the attention of the business users.
- As I mentioned, these products and services are available to transact today. Our data science team and field teams have seen 4 key areas in which there is the most opportunity. For example, sales and marketing is an area where there is an explosion of non-sensitive customer sentiment and transaction data which is a perfect match for the scalability of the cloud. In customer and channel, we’re also seeing a tremendous level of demand for personalized offers across retail and financial services online and in store. Cortana Analytics is the Suite that can deliver on these scenarios and more.
- Areas of investment for BI in Excel: Filtering for Power Map: Available Sept 2014: With filtering in Power Map, use familiar Excel filter controls to uncover more insights from your 3D geospacial visualizations. When using filters, you can adjust the amount of data shown, toggle between different categories or simply search and select specific values for more targeted analyses. Custom Maps for Power Map: Available Sept 2014: Custom Maps extends all the features of Power Map so you can tell rich and interactive stories using any map type. Simply choose an image – like building floor maps, the human body, public transit routes, and system architectures - and Excel will guide you through transforming your data into visualizations that can be explored and shared. OLAP Connectivity within Power View: Connect Power View in Excel to an external Analysis Services model without the need to import the data into Excel. Richer Data Models with Power Pivot: We are enhancing Power Pivot to enable you to create and analyze richer data models, like calculated tables and many-to-many relationships. The relationship between your business data can be complex and Power Pivot, with more powerful data modeling capabilities, allows you to analyze that data effectively to uncover deeper insights that will boost your competitive edge. Deeper Integration of BI in Excel: Power BI for Office 365 adds value to your businesses because it makes BI accessible to your entire team through the familiarity of Excel. The Power BI features in Excel will be integrated more deeply to make it even easier for any business user to discover and start benefiting from the collective intelligence of your business community.
- Areas of investment for Power BI Power BI dashboards and KPIs – Power BI will provide new capabilities to allow for the creation of live dashboards and easy to create KPIs that can be pinned to the dashboard - from which you can drill into underlying Power View reports for additional detail and data exploration. New data visualizations – we will introduce a host of new data visualizations for Power BI. eg. Tree Map. Touch optimized data exploration in Power View HTML5 – Power View will gain new touch optimized data exploration features allowing users to explore data more easily on touch devices. Power BI mobile applications – beyond the mobile experiences provide through HTML5 we also continue to invest in providing native mobile apps and will soon support both iPad and iPhone. Support for new data sources such as SalesForce.com and Dynamics CRM – new data sources will be added such as SalesFoce.com and tighter integration with CRM online. Support for SQL Server Analysis Services – Power Query will support SQL Server Analysis Services as a data source. Power BI will also support interactive query directly to SQL Server Analysis services on-premises. This will be to both tabular and multidimensional cubes. This will allow organizations to managing and maintain their existing Analysis Services models without having to move their data to the cloud. Users will be able to view and explore their data from Power View in Power BI and the system will directly connect and query against SQL Server Analysis Service on-premises.
- A new distributed analytics service Built on Apache YARN Dynamically scales Handles jobs of any scale instantly by simply setting the dial for how much power you need. You only pay for the cost of the query Supports Azure Active Directory for Access Control, Roles, Integration with on-premises identity systems It also includes U-SQL, a language that unifies the benefits of SQL with the expressive power of C# U-SQL’s scalable runtime processes data across multiple Azure data sources
- In a moment Sanjay will show you how Pier 1 is truly putting their data to work. They’re experimenting with monitoring in-store activity with the power of Kinect sensors and combining that with data from customer activity on the web. They’re ingesting that through Event hubs and then putting the data that needs further processing into Azure Data Factory to use HDInsight for batch processing. Stream Analytics takes on data as well. Data Factory then moves that data into Blob storage, where it’s further processed and combined with the Analytics data already sent to Azure SQL Database. Then that Azure DB data is sent to Azure ML, where it can then be modeled, made sense out of, to then deliver predictive results to any number of devices and visualization tools. Does this sound like a lot and a lot of things to buy? Perhaps it does. But what you have bought here – all you need to do all this is Azure. That’s the beauty of the cloud.
- https://www.microsoft.com/cognitive-services
- http://gallery.cortanaintelligence.com/
- Manufacturing Plant Manage data remotely from a centralized location and push updates and key notifications to the factory floor, making relevant information available to manufacturing employees. Monitor whether components are arriving at the plant floor as expected, and slow production if needed to reduce or eliminate excess work-in-process inventory Predefine rules for equipment use and plant management (e.g. shut down production or equipment based on demand or environmental data), to optimize productivity and profitability Establish predictive maintenance schedules - with planned maintenance, cost of operations can be reduced and throughput can be increased Identify and correct quality issues – with IoT and the ability to perform Big Data analytics, manufacturers can increase the number of quality checks that are performed, collect more quality inspection data and analyze more data than ever before. This enables them to spot defect patterns, and correct them more quickly. This also enables manufacturers to create predictive algorithms so that times/places where quality issues may occur are identified ahead of time. (e.g. extra humid day might imply more likelihood of quality issues) Customer Site and Third-Party Logistics Continue to collect data from products once they leave the factory floor (e.g. throughout the distribution process and once implemented into customer sites) to help drive predictive maintenance and inform product improvements E.g. a water pump could send data indicating that it will break down in 2-3 weeks. An analyst at the customer’s OEM or service provider could determine whether the pump is in need of simple repairs, or whether it makes sense to refurbish it. The analyst could also identify a spare parts promotion that the customer could take advantage of so the customer is prepared for future maintenance needs Access more data than ever before and integrate with 3rd party syndicated data to improve process and quality control (e.g. use data on regional weather patterns to determine locations where weather conditions will result in higher demand, or view data about fuel and other input prices to predict profit margins) Provide ‘single pane of glass’ visibility across all distribution/sales channels – this enables better inventory management and savings on logistics and distribution costs because the full channel would know would where products are, so redundancies can be reduced Global Operations powerful BI tools – derive business insights from Big Data analytics Make data available to the right individuals for a variety of purposes based on role, such as product development, facility and device servicing, or business and operations management
- The Retail industry is dealing with major shifts in consumer shopping behavior, preferences, and expectations, largely driven by new technologies and form factors. As consumers, we expect to access information in ways that are fast but familiar to us in every aspect of our daily lives, including when shopping for groceries, visiting an ATM, or checking out at a store. By building an end-to-end omni-channel solution based on Microsoft and partner technology, you can deliver the seamless, relevant experiences that your customers expect in today’s digital world. With IoT, almost every interaction among customers involving products and services can be captured, measured, and analyzed. You can gather where the shopper goes and everything they do – on Instagram or Twitter, up and down your aisles, on your website. Which freezer case did they open? What products did they carry into the fitting room? Or, what was weather like at the time? Warm and sunny? Cold and rainy? While you once relied on data from the cash register, with IoT you now can collect data from a variety of store sensors, RFID data, integration with external sources like social media and weather reports, and more. All these points of customer interaction, or touch points, can be considered as a sort of “shopstream” – where data exhaust is produced at each step along the customer journey. Millions of data points available from all of these new interactions enable you to create far more granular customer segmentations and make very accurate predictions about their behavior. You can drive increasingly relevant, personalized campaigns with data collected on individual customer behavior. Apply machine learning to all the ways the consumer is interacting with you and get a 360-degree view of the customer—tracking, understanding and gaining insight across all channels—that then informs marketing and merchandising to enable the delivery of the highest value offers. Improve your business performance by turning data into relevant context—turning all that exhaust into relevant insights. Get the right offer back to the customer at the right time – on the web, on their mobile phone, at the shelf, or at the cash register. In our example here, we have a customer on their home computer demonstrating the many ways shoppers are informed about the products and services they want. This phase of the customer journey is a lot like Pinterest, as they plan, combine, view, and get inspiration. Wanting to attract customers into your online and physical storefronts, you want to be in the showcases where your customers are. Monitor Instagram behavior, and turn that into knowledge of your customer. Collect traffic from Twitter, Facebook, Groupon, etc., and use that to drive traffic in and yield greater returns based on relevancy and upsell. The best offers require context and relevance. Use location tracking on carts, cell phones or video cameras to gain a more complete picture of the customer in-store experience. Combine that insight with what you’ve learned from the customer’s pre-shopping experiences, and send personalized recommendations and promotions based on customer location and preferences. Target your customers in store with store apps, so that they continue their product searching in your store. Keep attention in the store with more effective real time offers and segmentation models. Help your customers to see your store as a destination. In Retail, the recent surge in the presence of edge devices such as point of service solutions, digital signage, kiosks and handheld devices has become just as important in the store as applications for mobile phones, tablets, and PCs for consumers. Enable customers to simply tap their smart phone at the cash register to pay—and be on their way, excited to share about their recent shopping success. Create a leading-edge solution based on Microsoft technologies, and you’ll realize the untapped potential of your business data, giving you the competitive edge that comes from providing the best in customer service. Enable a personal, seamless, and differentiated shopping experience.
- IoT enables hospitality and travel organizations to create personal, seamless, and differentiated guest experiences while gaining business agility. The following are just a few quick examples to get you thinking. Airline With the proliferation of mobile and online applications replacing traditional face-to-face interactions, passengers are demanding a seamless traveler experience. Microsoft is delivering capabilities to transform the passenger experience from the curb to the gate. Provide your customers with the best deal, the best experience, and a real relationship with their favorite company. IoT solutions dramatically improves your ability to understand and serve your customers. Enable passengers to self-check bags with RFID luggage tags associated with frequent flyer data, reducing baggage loss and infrastructure requirements and providing passengers with more time to shop in retail stores and order services. Retail stores can send context-relevant promotions as passengers walk by. You can also send notifications regarding gate changes or departure times. Then, enable restaurant recommendations for passengers near a new gate assignment. Save millions of dollars with more accurate arrival time predictions. Use machine learning, sensor data, weather data, and other inputs to fine tune predictions and provide ground crews and passengers with the most accurate arrival information. Differentiate yourself in the highly-competitive airline industry by offering new in-flight customer experiences. Microsoft is helping transform onboard sales into an online, fast, connected experience. Integrate with payment acquirers so that flight attendants get an instantaneous response when swiping a credit card during onboard sales transactions. Engage directly with your passengers, surround them with brand information and entertainment, and bring the richness of online information to the plane. In-flight engagement solutions enable the comprehensive and connected consumer experience and increased ancillary services. With modern electronic flight bag applications, pilots employ a single device for planning, filing, and flying, reducing the weight required for paper flight books on-board. The same device provides collaboration and corporate communications over a highly secure connection, whether swapping shifts with other pilots, consuming training, or simply checking and responding to email. Together, these solutions come together to create a seamless, connected experience for flight crews and travelers. Cruise Use business intelligence to analyze the revenue-generating performance of the various venues and activities onboard ships to identify best practices that generate the most profit and deliver the best guest experience. Tap into existing resources to create new business intelligence—gather information from multiple connected devices and systems, including POS terminals, ticketing systems, and in-room amenities. The more information you can collect about guests, the more you can customize your products for them. For example, as ships travel between ports and passenger loads and demographics change, segment passengers by demographic and analyze their propensity to spend and participate in spa, photo, retail, laundry, and other areas of the ship. Dynamically change your offerings, retail inventory, and activities to match the preferences of the guests onboard. Learning behavior patterns by passenger groups and adjusting offerings and programs to better reflect passenger preferences increases revenue and gives customers a better experience. Centrally monitor critical ship assets and reduce equipment downtime. Streamline formerly manual maintenance processes with proactive response to near real-time data. Meaningful data from sensors and intelligent edge devices are all available securely in the cloud to provide access to needed information on mobile apps, via a Web browser or through text alerts. Provide an advanced field maintenance solution, enabling work flows for utility work crews through hand-held devices. Instead of going to an office, maintenance technicians can get work orders electronically from anywhere on the ship or dock. In the past, it may have taken more than 30 minutes just for technicians to pick up a new work order and return to the site. But now they can quickly retrieve a work order on their devices, finish the job, and notify people that the project is complete. Connecting handheld devices with existing IT infrastructure and food storage equipment can improve workflow throughout the ship, including reducing food-inspection time. To monitor food temperature, deliver inspection tasks and checklists to handheld devices. An employee can use the device’s built-in RFID sensor to read tags installed in coolers. Within seconds, the device downloads temperature records collected during the previous visit and compares them to the current reading. The device immediately alerts the user if the cooler is non-compliant and suggests corrective actions to resolve the problem. Then it sends a message to the facility maintenance team to check the cooler, and the employee moves on to inspect the next station. Use an integrated temperature probe on devices to monitor food temperatures on buffet lines and other open areas. The automated processes replace digital kitchen thermometers and paper logs. Instead of manually transferring records from logs to spreadsheet software, inspectors can immediately run reports against the data collected. Rail Ensure passengers reach their destinations on time and in the greatest comfort possible. Provide passengers with a better experience—for example, supply information on digital signs and to passengers’ mobile devices. Improve on-board service for passengers and gather data to understand purchase patterns and make accurate stock decisions. Implement a point-of-sale solution that connects remotely to financial and business systems and aid transactions from train carts and cafes. Reduce service delays and the cost of equipment downtime. Streamline formerly manual processes with proactive response to near real-time data. Meaningful data from sensors and intelligent edge devices — to closely monitor temperature, vibration, humidity, fault warnings and system alerts — are all available securely in the cloud to provide access to needed information on mobile apps, via a Web browser or through text alerts. Provide an advanced field maintenance solution, enabling work flows for utility work crews through hand-held devices. Centrally monitor critical station assets, such as escalators, elevators, and HVAC control systems. Connected security networks and personnel heighten security visibility to save more lives. Hospitality Drive improvements in your business by reducing travel stress and uncertainty, and by encouraging collaboration among your customers and employees. Implement technologies that offer a more consistent and personalized experience across various channels. Provide guests with a connected tablet to personalize and customize room settings, including the thermostat, lighting, windows shades, and stereo—and save their preferences. When they visit any of your other hotels around the globe, their room can automatically sync with their preferences. Enable the property manager to view room statuses as well, and send staff to repair any issues or change a light bulb as needed. Create a more unique and on-brand experience with guests; device apps can provide guests with information about the hotel, its offerings, and local attractions and act as a valuable source of information that you can use to build customer connections. Offer guests interactive touch-enabled computing to enhance their social experience at your hotels with personalized, highly secure computing experiences. With custom apps, such as an online concierge, capture guest information to improve service delivery and increase competitive advantage. Quick Service Restaurant Improve service with a solution that is fast, secure, and reliable, and drive better decisions with greater data access. Ease business expansion and management. Cut time to open new restaurants and easily push the latest data to existing locations. When you open a new store, create a package that you can deploy quickly though the cloud, and deliver all the necessary information with the click of a button. You can also update software, menu items, prices, coupons and more across multiple locations. Managers have instant access to current sales, inventory, and workforce information. Improve efficiency and enhance the customer experience. Install a point-of-service solution with easy-to-use, engaging self-service touch screens as well as kitchen displays and order confirmation boards connected to a corporate network and cloud-based services. Take orders faster and more accurately so that customers feel good about their visits. Electronically store and search receipts. Control food and labor costs to improve profitability. Managers can look at daily inventory of food items as well as when employees signed in and out of shifts. Connected inventory management enables much more accurate correlation between actual and ideal cost. With alerts from sensors installed in cookers, refrigerators, coffee machines, and more, easily identify mechanical problems and address them quickly. Configure notifications on employee devices of restaurant equipment maintenance needs. Use built-in RFID sensors to read tags installed in coolers. Use devices with integrated temperature probes to monitor food temperatures on buffet lines, in food cases and in other open areas.