Real-time User Metrics
Discover your customers’ real-time needs, usage, buying patterns, product affinities and new-feature adoption through a simple but powerful graphical dashboard interface that can aggregate petabytes of data. Gain actionable insights into user engagement, marketing campaigns, and conversions across online and mobile channels that empowers you to improve your customers’ experience by modifying your connected products, websites, shopping carts and applications on the fly or in the future.
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- Track location of your customers and correlate it with other factors (such as time of day, weather conditions, current events, social media trending) and then offer tailored promotions in real-time while the user is engaged on your website or application.
- Measure, analyze and correlate customer behavior so you can gain insight in to failed process steps and understand and optimize the buyer’s journey to increase customer engagement and conversion rates on both desktops and mobile.
- See how people interact with your website, new promotion page or application—-see what they view, what they read, what they click on and what they run from. Use these insights to not only improve your website or application content placement but also to curate overall marketing strategies, customer service and product development.
- Sense the reception of your new product or service by using texting analytics and comment-form analysis to discover social media “sentiment”. By understanding the difference between positive and negative comments you can proactively gauge and predict how customers are using social networks to influence others and express their shopping interests and experiences.
- By tracking click streams, location data, updates in preferences and other behavior in real time, you’ll be able to recognize when customers are nearing a purchase decision and can then nudge the transaction to completion by bundling preferred products, offering discounts or reward program benefits.
A major pizza chain uses user location data correlated with weather information to change the menu a user sees when ordering on the website, offering more salads to Californian locations and heartier meat pizzas in Maine. Since you can see aggregated ordering and web-site behavioural data graphically in real time, marketing can change and experiment with live promotions on-the-fly. Users at, near or engaged in watching special events (like the Super Bowl) can be targeted with special promotions.
A pharmaceutical company analyzes social media conversations to graphically display how patients are experiencing a new drug they are offering. If the data reveals particular unpredicted side-effects in certain people, for example, the drug company immediately updates their website content, social media feeds or even the product itself to reflect this new insight.
A large call center monitors conversations to detect levels of customer anger or dissatisfaction on their dashboard and uses the information to modify their scripts or practices to better serve the needs of their customers.
An interactive tutorial company relies on their data dashboard to see that many users are pausing and/or rewinding a tutorial at a certain place, indicating a sticking-point in user understanding. They can then modify the tutorial to make the point clearer. The company can also see which tutorials that are not consumed in one sitting, which spurs them to make that tutorial more interesting and thereby increase sales.
A gaming company clearly sees graphical data about how long users engage with their game in a given session or over a lifetime. They also see what elements users are most likely to click on to buy points or otherwise monetize the game and then add or subtract features to create a better user experience and create more sales. By knowing how, when and from where visitors are being channeled to the game, they see which advertising strategies drive the most visitors to the game and modify their promotional budget accordingly.
Business Intelligence Analytics
Drastically improve decision and process management by being able to visualize data cross-platform throughout your enterprise and even integrate with other business partner’s systems or applications for complete end-to-end insights into performance. Integrating analytics with business rules, event-processing, goals and operations in a single visual dashboard allows your enterprise to pick out important events from a pile of data “noise” and assume a predictive and proactive stance in real-time across diverse systems.
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- Integrate data previously lurking in data “silos”—walled-off functional units such as R&D, engineering, manufacturing, or service operations—and bring it into a single aggregated interface that allows for a collaborative and comprehensive use of information from multiple systems across your enterprise.
- Quickly detect anomalies and find patterns across mountains of historical or unstructured data and rapidly create and share graphs, charts through a single intuitive dashboard that empowers users with prebuilt functions and visualizations so you can truly understand and act on your data. Increase operational efficiency by monitoring everything from product inventories to sick days to comparing shipping times in different facilities to discover which processes and teams work most efficiently to boost performance.
- Gain real-time, end-to-end visibility into complex business processes such as financial trade settlement, new telecommunications service activations, as well as health and insurance claims processing. Find business process bottlenecks across systems and identify opportunities to optimize company processes.
- Increase your data security and compliance with a single interface that shows when a database was modified, from where and by whom. Monitor and audit read-and-write access to sensitive data.
- Truly collaborate with your enterprise partners by integrating their data into your dashboard to proactively adjust to changes in supply chains or monitor information from external suppliers and customers to assess, troubleshoot or co-create products on the fly.
An international automobile manufacturer shares data from its suppliers around the world—who make thousands of component parts. Using an integrated data platform, the company and its suppliers collaborate to create, access and monitor product development all the way through the design and implementation phases in real time. The car company realizes a dramatic reduction in design flaws and failures, thereby significantly driving down manufacturing costs.
A well-known fast-food chain equips its stores with devices that gather operational data that tracks customer interactions, in-store traffic and ordering patterns. Operational managers then model the impact of variations in menus, restaurant designs, and training, thereby increasing both productivity and sales.
A healthcare software provider views and monitors data transactions between health providers and insurers. This allows them to optimize patient eligibility verification which means claims are processed and paid much more quickly. By monitoring transactions errors and partner response rates they quickly identify failed transactions (such as improperly entered form data) and take remedial action.
A bank analyzes data to differentiate between customers based on their credit risk, credit usage and other parameters. They then offer new credit products to customers who meet certain criteria based on the collected data.
A large oil company needs to correlate financial data with a mish-mash of process-information data showing how much oil and gas the company finds and collects. By mapping and correlating its data through a single visual interface, it brought 27 separate sources into one 450GB data warehouse, allowing for more transparent and actionable insights between finance and operations.