Data forms part of every business operation and customer interaction. But, all too often, the steps involved in interacting with that data slow us down or get in the way getting the job done.
Looker makes it easy for you to create data-driven experiences for users that are fast, seamless and simple — no matter what they’re trying to do or what applications they’re using. Here are four ways Looker can be used to build better data experiences.
1. Provide extra context with integrated insights
Most employees spend the majority of their time in one or two key apps: a CRM system for your sales team, an ERP system for your production department or a fleet management system for your logistics team. Instead of making them switch to separate tools to get insights about customer purchasing patterns, production line downtime or fuel costs, Looker lets you embed relevant insights into existing screens in your core business apps.
2. Speed up and automate data-dependent workflows
by infusing them with fresh, accurate data. With Looker, a retailer could use the latest activity streams from its website to drive its email marketing systems and and automatically create tailored campaigns for each user.
A media buyer could optimise her ad buying strategy by using data on predicted customer lifetime value for each platform to automatically manage bids across multiple platforms. And customer relationship team could be prompted to get in touch with customers who are spending less than previously to proactively address any issues the customer may have.
3. Create a competitive advantage
with custom solutions that support unique processes and offerings. With Looker, a retailer selling a complex product set can build a custom filtering system for its sales system or website to help sales reps and customers choose the right product or service or find the right add-ons and consumables to go with a previous purchase.
A utility company could increase engagement by developing custom dashboards to allow each business customer to analyse their consumption and costs over time or between sites. And a broadcaster can use audience data and advertiser demand to calculate the optimal price for every time slot in every market, helping its sales reps to negotiate the best deals.
4. Make better decisions
with real-time reporting and inspiring visualisations. Looker lets you provide fast access to trustworthy data through tools that empower users to easily explore relevant data and dig deeper for themselves.
For example, a company installing solar panels in private homes could create dashboards to track the current status of its sales pipeline and predicted revenues, its current and predicted installation workload, and the electricity its customers are feeding into or taking out of the grid. All of that would drive decisions not just in its sales, operations and customer service teams but also in its marketing, HR and finance departments.
Our Data, Analytics and AI practice brings together a highly committed team of experienced data scientists, mathematicians and engineers. We pride ourselves in collaborating with and empowering client teams to deliver leading-edge data analytics and machine learning solutions on the Google Cloud Platform.
We operate at the edge of modern data warehousing, machine learning and AI, regularly participating in Google Cloud alpha programs to trial new products and features and to future-proof our client solutions.
We have support from an in-house, award winning application development practice to deliver embedded analytics incorporating beautifully designed UIs. We are leaders in geospatial data and one of the first companies globally to achieve the Google Cloud Location-based Services specialisation. If you'd like to find out more about how we can help you build your own modern data and analytics platform, why not take a look at some of our customer success stories or talk to our data analytics team.