Did you know that Dominos sold more than 200,000 pizzas a day in the combined region of the UK, the Republic of Ireland, Germany and Switzerland in 2014? We know this thanks to embedded analytics. This article highlights embedded analytics examples to show how this technology boosts customer satisfaction and revenue for industries.

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This article covers the below key points:

• What Is Embedded Analytics?
• Examples
  • NHS
  • Adviso
  • Global K9 Protection Group
  • Shopify Capital
  • Absorb LMS
  • Hootsuite
• Primary Features
• How to Embed Analytics

What Is Embedded Analytics?

Integrating charts, maps, dashboards, reports or entire applications into business systems is embedded analytics. Business applications that incorporate analytics include CRMs, ERPs, SCMs, inventory management platforms and reporting systems. Embedded technology ensures the power of analytics is at your fingertips.

You can view area-wise performance and revenue, among others, within your routine app workflows. Analyzing lead acquisition data from your sales software within the customer support system to assess call quality is embedded analytics at work. It helps you understand what customers want and how to engage with potential leads.

The push for data literacy is a significant step toward faster business insight. As a business owner, you don’t want to hold off on decision-making while developers hand-code reports and embed them into your application’s interface. Embedded analytics seeks to cover this gap between data gathering and insight through in-app visual analysis.

With instant insight access, you can get ahead of the competition and establish yourself as a serious contender in your industry. An embedded solution flattens the learning curve considerably as you don’t have to learn new software. It’s especially significant for senior stakeholders as they lack the bandwidth for constant application-switching.

Enterprises at varying stages of their analytics journey seek embedded solutions.

Which one are you?

You’re starting from scratch

Nobody knows your business better than you. Viewing the occasional dashboard in-app might not need a full-fledged embedded solution. However, you might have to opt for one for routine cross-category analytics at a larger scale.

Are the majority of your reports operational or client-facing? Is your native app a CRM, ERP or warehouse management solution, and which embedded analytics tool will it require? Adding these questions to your requirements list will give you a clear picture when searching for an embedded solution.

You want to upgrade

You integrate your application with an analytics solution, but the setup is clunky, slowing you down. Post-upgrade compatibility, troubleshooting and scalability are issues of concern you can’t control. Constantly switching between the two applications is disorienting, and you wonder if going for embedded is the next step.

Integrating an increasing number of dashboards and reports can get overwhelming as the business grows, and you fear analytics adoption will lag.

You want additional features

You want to augment analytics with natural language querying and machine learning. Whether you need data science features doesn’t depend on your organization’s size but on your projects and in-house resources.

Should you purchase add-ons or have your developers create the code in-house?

The age-old build-or-buy discussion has solid pros and cons for either option.

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Build or Buy?

Investment is the primary concern when developing in-house, but greater control is a definite plus. It might be the only option if an embedded solution isn’t available for your industry or what’s available exceeds your budget.

Buying a readymade embedded analytics platform helps you get started quicker. Despite the emphasis on self-service and data literacy, few users are keen to build a dashboard or report from scratch. With domain-specific dashboard and report templates, adoption is faster, and you can start reporting and analysis quicker.

Identify your business needs to finalize a product, though pricing will vary according to the selected features, support packages and add-ons.

Embedded Analytics Examples

Embedded tech touches our lives in many ways, so we take it for granted. For business owners to invest in a product, they need to know it works, as the following embedded analytics examples show.

Let’s dive in.

National Health Services, UK

Industry: Healthcare

Embedded analytics systems support patient management, appointment scheduling, disease diagnoses and decision support.

Many governments, health providers and large employers use the John Hopkins ACG system to create population health plans. In the United Kingdom, the NHS applies it to integrate primary and secondary care data of over 11 million patients and more than 1000 GP practices. This information helps them create analyses and predictions for everyone, irrespective of whether they need emergency care or not.

The ACG System recognizes NHS-specific diagnostic and pharmacy codes, updating its mapping tables as the health body introduces new codes. The vendor keeps the system’s predictive models current, recalibrating them regularly.

Benefits

• Reduce emergency care costs by highlighting ways to improve primary care.
• Lower readmission rates by identifying at-risk patients preemptively.
• Support planning through population health analytics and profiling.
• Help match patients to treatment protocols.
• Assist in resource allocation.

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Adviso

Industry: Retail and Marketing
Statista predicts retail eCommerce sales to jump to $7.4 trillion by 2025. It’s a 50% increase from 2021 when it was $4.9 trillion worldwide.

Embedded retail analytics tools help you push winning products by identifying customer usage patterns. Whether brick-and-mortar or online, your store’s analytics system captures every user action, feeding this information to AI algorithms that generate personalized recommendations.

Shop floor cameras capture user routes, purchase behavior and product abandonment patterns, priceless information that helps companies sell better. You can focus on improvement areas through better marketing campaigns and visual merchandising.

Adviso, an internet marketing and strategy company, needed more than manual spreadsheets for internal reporting. Embedding Zoho Analytics within their application, they upgraded to creating dashboards and reports in less time.

The platform blends huge datasets from various data sources and presents them as engaging visuals. It lets you zoom in for a close-up look at live metrics or zoom out for a high-level overview.

Benefits

• Plan marketing campaigns based on accurate customer behavior metrics.
• Upsell and cross-sell better with historical purchase insights.
• Acquire up-to-date stock and inventory information.
• Predict sales and product demand based on buyer trends and seasonality.

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Global K9 Protection Group

Industry: Security
Based in Opelika, Alabama, the Global K9 Protection group provides canine protection services to clients in the entertainment, travel and logistics industries, including the Department of Homeland Security and the TSA. The company uses information management software, capturing and saving key performance metrics to the AWS cloud.

Seeking to scale, Global K9 picked Qrvey for its data collection, transformation, analysis, visualization and automation capabilities. Built for AWS, Qrvey is a no-code app builder that fits Global K9’s key requirements. The platform processes all data types, including unstructured data, making it possible to capture and tag security videos for sharing with agencies and teams in the field.

Benefits

• Control the entire data pipeline from ingestion to analytics and visualization.
• Get the complete picture with unstructured and streaming data analytics.
• Scale flexibly with the business to handle any number of workloads.
• Deliver insight directly to decision-makers via automated workflows.

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Shopify Capital

Industry: eCommerce

Fintech companies seek to boost revenue, engagement and retention by embedding analytics into customer portals and devices. Often, the base platform is not a financial product, instead, it’s an eCommerce software like Amazon marketplace. The software hosts the entire user experience and presents financial products like payment gateways at the time of need without interrupting the customer journey.

The embedded analytics product gathers customer analytics and collects vendor data to monetize it in other ways, saving money on lead acquisition. eCommerce platform Shopify lets brands create storefronts online and allow buyers to check out items and make payments. Did you know they also offer credit to merchants?

The platform develops a deep understanding of the vendor’s financial viability from historical sales data to offer inventory and credit financing. It collects repayments from incoming payments on successful transactions.

Benefits

• Centralize every online operation — marketing, shipping and accounting — from a unified dashboard.
• Sell products and services to customers worldwide via the internet’s wide reach.
• Monetize vendor analytics by diversifying operations.

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Absorb LMS

Industry: Learning Management Systems

Based in Calgary, Absorb Software offers a learning management system hundreds of corporate clients use globally. Reporting is a primary requirement of LMS and enterprises seek enhanced customization — custom layouts and greater interactivity — to manipulate metrics as necessary. Offering generic reports catering to multiple clients’ unique demands is a challenge.

By embedding Dundas BI into their LMS, Absorb provides clients with a rich library of readymade, interactive dashboards. The reporting process is automated from data input to report generation.

Absorb software ensures only pertinent queries are sent back to the database with parameterized queries. It helps avoid storing all tenant data on secondary storage, saving space. A multi-tenant environment provides custom-built reporting options and admin-specific personalization privileges.

Benefits

• Build custom dashboards and reports.
• Interact with your data via filtering, navigation and powerful drill-down actions on an easy-to-use interface.
• Optimize assets by offering shared resources at affordable prices through multi-tenancy.
• Automate the entire reporting process.

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Hootsuite

Industry: Social Media Management

It’s a leading social media management platform providing customer insight at scale to enterprises and organizations in over 150 countries. Hootsuite uses Sumo Logic’s cloud-based machine learning platform to ingest, index and analyze metrics, including app log data.

An example of SaaS embedding, Sumo Logic is easy to adopt and requires no fine-tuning, reducing the ownership cost for Hootsuite and its other clients. Sumo’s out-of-the-box custom apps can ingest and analyze data from AWS services.

Real-time dashboards give you end-to-end visibility into AWS CloudWatch and system metrics. Troubleshooting is faster with advanced analytics and ML algorithms applied to time-series metrics and logs.

Benefits

• Improve app performance by reducing issue identification and resolution times.
• Lower the cost of ownership with SaaS-based embedded analytics solutions.
• Handle any amount of data with a scalable platform.

These embedded analytics examples and benefits might seem relatable to your business needs. If you’re in the market for an embedded tool, it’s good to acquaint yourself with its essential features. Here’s a list to get you started.

Primary Features

An embedded analytics solution has data management built-in, so security and governance are a given. Role-based user access is essential to ensure data quality and integrity.

This features list is merely suggestive, and it’s ideal to do a thorough internal assessment to complete your requirements checklist.

• Data integration.
• Data security and permissions management.
• Interactive dashboards and reports.
• Data governance.
• Alert setting.
• Support for cloud app development.
• Low-code/no-code deployment when in-house technical expertise isn’t available.
• ML and NLP, depending on your business needs.

How To Embed Analytics

Enterprise strategy relies heavily on analytics, and organizations seek easy access to real-time metrics. How you embed analytics into your business will determine your users’ experience, which is a critical factor in adoption.

There are three ways you can embed.

Embedding Dashboards

Vendors offer SDKs to embed specific dashboards into a website or wiki page via APIs. From your report or dashboard, select export and customize the embedding options. Copy the HTML code to add the report or dashboard as an iFrame on your website. Show metrics in greater detail by embedding dashboards within other dashboards.

If you want users to view reports and visualizations without logging into iFrames, make them publicly visible. Or present pertinent metrics to specific users by setting separate access keys for role-based user profiles.

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Portal Embedding

By embedding analytics portals within your regular workflows, you can navigate to the dedicated analytics solution. Depending on its setup, closing the dashboard view or completing the workflow brings you back.

What’s happening at the backend? The host application passes on your credentials to the analytics app, logging you in automatically.

Alternatively, you can provide an analytics tab on the website or dashboard that takes you to the analytics solution. An analytics-inclusive workflow works better, but a separate tab on the interface is optional, and people might use it less or not at all.

Your transactional and analytics data are on two different interfaces, and it’s challenging to get context. It would be great if you could see them alongside, which would boost adoption. It’s what contextual analytics is all about.

Contextual Analytics

It involves embedding dashboards and analytics platforms directly into your application’s core workflows for guided analysis. In-transaction insight like user ratings of four and above can prompt you to buy a product. Or decision triggers — price drops or limited items in stock — push you to purchase the product before it’s gone.

To get meaningful insight, it’s critical the data, visualizations and associated processes work together. This synchronicity shows when you filter on desired fields, change the visualization types or pull new data altogether. Interactivity options like drag and drop, click and select, etc., should work with the database to give you in-app results.

Get our readymade requirements template to assess your company’s requirements before starting your software search. Obtain a feature-to-feature analysis of the leading embedded analytics products with our comparison report.

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Conclusion

The embedded analytics examples discussed above showcase how this technology empowers organizations and governments to address business needs and perform better. As more vendors incorporate embedded tech in their offerings, this technology is poised to reap more significant benefits for enterprises globally.

The Norwegian Directorate of Health makes its citizens’ health data available online via Dundas BI embedded dashboards. Anyone can access them, including researchers, information media agencies and ordinary citizens. Anonymization secures patient data, especially in sparsely populated areas, and benchmarking SOPs against industry standards builds citizens’ trust in government.

Where are you in your embedded analytics journey? If you’ve used an embedded tool, what did you learn? Let us know in the comments below.