Introducing OpenText Big Data Analytics in the Cloud

Digital leaders know their data. They convert their information into actionable business insight. Considering that more data is shared online every second today than was…

Mark J. Barrenechea  profile picture
Mark J. Barrenechea

September 4, 20154 minute read

Digital leaders know their data. They convert their information into actionable business insight. Considering that more data is shared online every second today than was stored in the entire Internet 20 years ago, it’s no wonder that differentiating products and services requires advanced tools.

With that need in mind, I’m pleased to announce OpenText Big Data Analytics in the Cloud. Combining the power of our OpenText Big Data Analytics product with the accessibility and convenience of the Cloud gives our customers the ability to leverage advanced analytics capabilities quickly and easily, without investing in infrastructure or specialized technical staff.

All About the Data

To transform data into insights, organizations require a Big Data Analytics solution that is flexible enough to integrate all types of information, including survey results, tweets, purchasing data, campaign response rates, and external market data. An effective solution helps organizations examine all data in a single view, analyze billions of records in seconds, and apply advanced and predictive techniques—all via an intuitive, easy-to-use interface. Applying analytics to information across organizational silos gives businesses the insight they need to improve their performance, optimize their supply chain, and know their customers better. Big Data Analytics gives organizations the agility they need to compete.

With benefits like these, my question is “Why haven’t more organizations implemented Big Data Analytics solutions?” The most commonly cited barriers to adoption of Big Data Analytics solutions are difficultly consolidating data sources, a skills gap within the organization, and lack of infrastructure, or difficulty integrating with existing infrastructure. Not every organization has the data scientists, IT experts, and computing resources they need to collect, parse, compare, and extract value from data.

Barriers to Big Data Analytics
The OpenText Answer

The new OpenText Big Data Analytics in the Cloud bypasses all of these barriers, offering implementation and full management in the OpenText Cloud, without requiring the customer to acquire additional IT resources or infrastructure. As our first “Analytics as a Service” (AaaS) offering, OpenText Big Data Analytics in the Cloud brings together the benefits of advanced analytics with the cost-savings and convenience of a managed service, making it even easier to access, blend, explore, and model big data quickly and effectively. The simplicity and flexibility of Big Data Analytics eliminates the need for a data scientist. The power of OpenText Cloud lowers technical and financial barriers to entry. Without lengthy procurement and installation processes, time-to-ROI is realized sooner. Maintenance is simplified and scalability is improved without driving up costs.

Using in-memory columnar database technology that delivers 1,000x faster performance than traditional relational databases, OpenText Big Data Analytics in the Cloud reduces the time it takes to prepare and launch campaigns, discover supplier risks, or identify business opportunities from days to just hours or even minutes. It delivers quicker time-to-value because of the proven reliability and expertise of our Enterprise Information Management (EIM) Managed Cloud Services. With OpenText Big Data Analytics in the Cloud business users can uncover cross-sell or upsell opportunities or reduce customer churn, and gain better visibility to detect fraud, analyze risk, and drive operational efficiency.

What’s Next?

When it comes to analyzing data, many of our customers have made great progress. They have moved from rear-view reflections to near-view observations. But the traditional Business Intelligence (BI) tools that made that move possible have become table stakes. OpenText Big Data Analytics and the advanced and predictive analytics it embodies, represents the future of business and will be the key to continued success in a Digital World as organizations shift from near-view observations to future-view forecasts and analysis to make more informed business decisions. When I look at Analytics as a Service, I see the shape of things to come. I see limitless potential.

To find out more about the new OpenText Big Data Analytics in the Cloud, read the Press Release.

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Mark J. Barrenechea

Mark J. Barrenechea joined OpenText as President and Chief Executive Officer in January 2012, and also serves as a member of the Board of Directors. In January 2016, Mark took on the role of Chief Technology Officer and was appointed Vice Chair in September 2017.

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