For any company or enterprise, reporting was traditionally an add-on afterthought along with the software that was built to support transactional process automation. The new data economy has changed that paradigm and data is seen as the key asset that every company wants to monetize. In an increasingly uncertain world, knowledge is precious, and— data — is hugely valuable and getting the analytics strategy right to give the business and its customers a competitive edge, is critical for success.

Every company wants to find ways to accelerate the ability to create revenue from existing assets like data, market share, domain expertise, technology, people and operational excellence. When data was simple, producing insights was simple too but as data has become complex, the demands on data have also become more complex. Business analysts need to be able to refine the analysis and perform complex calculations on Big data and to connect data from many sources they have, in order to reveal the best insights that will move the needle. This has set the stage for the rise of embedded analytics versus in house solutions since the Analytics tech has to keep pace with the latest in AI and ML for speed, scale and convenience.

With Sisense Embed SDK, you can focus on higher-value tasks like building tailor-made analytic apps and software instead of spending time and effort building boilerplate code, complicated communication logic, or other integration details. New features make it even easier for product teams to build and scale custom actionable analytic modules and integrate them seamlessly into other applications.

  • Embed SDK is a suite of JavaScript APIs delivered as a JS library. It minimizes developer resources to manage complex communication between an application and the embedded analytics dashboards
  • New Embedded Dashboard Designer allow end-clients environment to independently design and customize widgets and dashboards directly within their deployment
  • Embed Code UI Generator automatically generates various code snippets needed to embed Sisense dashboards and widgets in external applications

A lot of the enterprises today use data to increase the value of the software they create and some examples and Use Cases are described below –

A free, anonymous 24/7 text-based crisis intervention organization uses data to create positive change in the world. It analyses text conversations in real-time using natural language processing and machine learning to pull insights from its rich dataset and identifies keywords in texts to help steer a counsellor towards a safe resolution. This augments its extremely qualified volunteers to understand what has helped intervene positively in the past in order to save more lives on the call, in real-time and eventually tie this to employee performance.

A multidisciplinary electronic medical records software technology provider that services the elderly care market empowers their clients by embedding Sisense into its platform. The data includes Practice management, EMR and other data sources merged to provide a consolidated view for the healthcare providers to generate meaningful insights for improving actions and outcomes. These insights decide which care paths are successful leading to improved patient care. With their data philosophy squarely focused on what it calls “patient intelligence” this company has allowed doctors and nurses to spend more time on patient care and minimize patient readmissions.

A leading global provider of Fleet management and insurance telematics services and solutions for mobile asset management and recovery, and workforce optimization uses Sisensefor embedded Analytics and BI. Its customer telematics web interface provides a comprehensive set of BI features ensuring the optimization of both fleet and human resources by providing Operational reporting, integrated Analytics services which includes driver risk assessment. Embedding Sisense has allowed them to augment and evolve their BI and Analytics capabilities while allowing them the focus on their core competencies.

A Global Fortune 500 Financial company embedded Sisense to provide reporting and dash boarding capabilities to provide Self-service Financial portfolio and Investment Analytics for their global client base. With self-service, IT teams now have more time to focus on business analysis rather than generating reports. This has increased the value proposition for their customers with self-service tracking of account , portfolio performance and metrics since the clients can define, analyse and drill down into their data and get insights any time they want.

The need is for Data to recommend actions, not just build KPIs and reports anymore.


Sisense Forecast is an advanced AI-powered forecasting option that offers unique capabilities to derive new value from data without the need for data science expertise. With a single click, an ensemble of univariate forecast models run against the data. An AI algorithm selects the best model based on the type of data analysed and additional variable can be added to the forecast to create a multivariate forecast.


Sisense Quest is the latest add-on from our Labs team. It allows business to harness the power of data science by delivering new insights from data with a library of out-of-the-box statistical models, such as What-If and Trend Analysis. In addition, one can deploy and operationalize their own machine learning models to all users by uploading custom Python. To help make sure that insights are always actionable, a variety of suggested actions or new ones can be tailored to create rich dynamic Actionable Analytics with
Sisense Blox

Daemon Software is a Sisense APAC partner working on BI and Big Data solutions. Get in touch at sales@daemon.co.in or consultants@daemon.com.sg to evaluate how your company can benefit with Embed Analytics and BI.