GoodData powers the transformation of decision-making for frontline workers within their daily business processes. The GoodData ​Enterprise Insights Platform​ is a cloud-based, end-to-end platform that gathers data and user decisions and transforms them into actionable insights, delivered at the point of work. This empowers enterprises and software companies to integrate insights into applications so that their customers, partners, and employees can make more intelligent decisions, faster.

The GoodData platform is powered by a highly scalable, elastic, and secured cloud analytics architecture with capabilities that support the entire data pipeline from data ingestion to insights delivery. Leveraging this platform as well as the expertise of in-house data scientists, domain experts, and data engineers, GoodData works with customers to drive a "business outcome focus," allowing them to finally drive meaningful change for the business.

The Trailblazer of the Company

Roman Stanek, Founder and CEO of GoodData is a passionate entrepreneur and industry thought leader with over 20 years of high-tech experience. His latest venture, GoodData, was founded in 2007 with the mission to disrupt the business intelligence space and monetize big data. Prior to GoodData, Roman was the Founder and CEO of NetBeans, the leading Java development environment (acquired by Sun Microsystems in 1999) and Systinet, a leading SOA governance platform (acquired by Mercury Interactive, later Hewlett Packard, in 2006).

The company's mission is to fundamentally change the way businesses make decisions. Many companies have not seen a return on their BI investment and Roman believes it's because the insights are not actionable. Companies have expected everyday business users to leave the applications in which they work and look at static dashboards. The business users don't know what actions to take based on the information in the dashboards. There is good intent behind self-service analytics, but in reality, it's not delivering the desired results. GoodData's foundation has always been embedding insights at the point of work.

For businesses struggling to achieve the expected ROI on their BI deployments, people need to understand that embedded analytics is different. "We are embedded into the business process and we are contextual. GoodData is not selling technology to IT. We are selling analytics applications to a business unit for a business problem. GoodData is solving domain analytics problems. By being embedded at the point of work, without having to leave the application in which you are used to working, and because we are contextual, you know exactly what to do with the insights that are being presented to you," says Roman.

Delivering Exceptional Business Value

As a leader in the market, GoodData uses its expertise to help businesses define a business-critical process for improvement and then provides the platform on which it can happen. GoodData has enhanced its platform to include machine-learning capabilities and by partnering with a cloud platform, its customers are able to take advantage of the latest innovations as they move up the analytics maturity curve.

Regardless of the vertical, companies recognize the urgency to continuously innovate by embedding real-time analytics into their critical business processes. By bringing actionable insights to everyday business users, they can impact bottom line revenues with incremental changes that add up to immense savings.

Over the past few years, independent software vendors (ISVs) have enabled many businesses to bring analytics into their product offerings. ISVs that embed insights into their solutions recognize the value of partnering with an embedded analytics vendor to bring those insights to their customers faster. They can get to market faster, continuously evolve their products, and meet the needs of their customers faster, all while saving money with no infrastructure costs and not losing sight of their own core expertise.

Driving Innovation with Cutting-Edge Services

GoodData has been extremely innovative in the big data analytics market and recognized over 10 years ago that success will lie with those that embed analytics at the point of work instead of asking every business user to be a data scientist and go out and interpret dashboards on their own. GoodData understood the importance of embedding analytics in critical business processes versus providing a self-service dashboard as recognized in their recent patent award.

GoodData platform empowers customers to gain significant value from their data. By using the platform, enterprises partner with a trusted leader in the embedded analytics market. That leader can help drive the enterprise to success calling upon their expertise having done hundreds of implementations over the years.

Awards and Recognitions

Most recently, GoodData has been recognized as a Leader in the Forrester Wave​™, Enterprise BI Platforms with Majority Cloud Deployments, Q3 2017 as well as a Strong Performer in the new Forrester Wave​™​, Insights Platform-As-A-Service, Q3 2017. Good Data is used by over 50% of the Fortune 500 companies. The company has over 1.2 million users of their platform and over 70,000 businesses use GoodData.

Challenges Faced in Business

When addressing GoodData's challenges Roman says, "The biggest challenge in my mind is that the industry has been focused on self-service dashboards while we were focused on embedding insights at the point of work. We were going against the popular trend because we knew that people would not leave their work environment to search for a static dashboard to look at visualizations that were difficult to interpret. It has taken some time for businesses and analysts to catch up to understand that the only way to get ROI is to provide the insights with context and help guide everyday users in the actions they should take upon being presented with the data".

Embedded Analytics is the Future of BI

GoodData sees the future of analytics moving away from self-service dashboards to entirely embedded analytics and believes companies will first move away from self-service analytics and dashboards as they recognize the need to:

1) Embed analytics at the point of work.

2) Provide actionable insights in context.

3) Make the insights more automated and widely accessible.

The next phase will be automating the daily business decisions through embedded machine learning. This will free employees up to spend time on business-critical activities or delve deeper into solving problems that are surfaced through machine learning. GoodData expects more companies will move to use machine learning to automate daily business processes, allowing frontline workers to spend more time on strategic business decisions.