David Menninger's Analyst Perspectives

Sisu Optimizes Analytics with Machine Learning for Actions & Decisions

Posted by David Menninger on Sep 23, 2021 3:00:00 AM

Sisu Data is an analytics platform for structured data that uses machine learning and statistical analysis to automatically monitor changes in data sets and surface explanations. It can prioritize facts based on their impact and provide a detailed, interpretable context to refine and support conclusions. The product features fact boards, annotations and the ability to share facts and analysis across teams. Data teams and analysts start by creating common definitions of key performance indicators, which Sisu then utilizes to automatically test thousands of hypotheses to identify differences between groups.

Sisu introduced its new data exploration feature – Smart Waterfall Charts – earlier this year. This new feature takes advantage of Sisu’s decision engine to automatically identify key performance drivers, enabling analysts to find crucial factors more quickly. Sisu also redesigned its analytics platform, introducing a new, metrics-first interface that resembles an Excel workbook. Its tabs enable workers to examine metrics from multiple angles and quickly evaluate the data to speed up the delivery of insights.

1-Sep-14-2021-06-45-21-31-PM_croppedLarge volumes of data are streaming into organizations from all sides and with increasing frequency, forcing organizations to rethink how data is processed. And the changing nature of the frequency with which data informs decisions requires a corresponding change in analytic approaches. Our research shows that one-third of organizations (34%) need to process data every hour or in real time. To evaluate such large volumes of information in such a short time requires new types of analytical techniques based on artificial intelligence and ML algorithms. These algorithms can detect correlations in the data to highlight factors with the greatest impact on the metrics that matter most to the organization’s performance.

Sisu uses scalable ML to gain insights from large datasets. The platform automates data exploration so workers can find hidden facts in complex data more quickly. Sisu also introduced a new algorithm along with the Smart Waterfall feature that offers the ability to surface only the highest-impact, statistically valid drivers. This enables workers to quickly focus on only statistically relevant populations in the data.

Data is increasing at an exponential rate, adding complexity and challenges for data teams and analysts to identify which dimensions matter the most. Automating the exploration and evaluation of metrics enables organizations to make more informed decisions and implement more productive practices. I recommend that organizations looking to automate data exploration and speed up analytics processes evaluate Sisu’s capabilities when considering vendors.


David Menninger

Topics: embedded analytics, Analytics, Business Intelligence, Collaboration, Data, AI and Machine Learning

David Menninger

Written by David Menninger

David is responsible for the overall research direction of data, information and analytics technologies at Ventana Research covering major areas including Analytics, Big Data, Business Intelligence and Information Management along with the additional specific research categories including Information Applications, IT Performance Management, Location Intelligence, Operational Intelligence and IoT, and Data Science. David is also responsible for examining the role of cloud computing, collaboration and mobile technologies as they affect these areas. David brings to Ventana Research over twenty-five years of experience, through which he has marketed and brought to market some of the leading edge technologies for helping organizations analyze data to support a range of action-taking and decision-making processes. Prior to joining Ventana Research, David was the Head of Business Development & Strategy at Pivotal a division of EMC, VP of Marketing and Product Management at Vertica Systems, VP of Marketing and Product Management at Oracle, Applix, InforSense and IRI Software. David earned his MS in Business from Bentley University and a BS in Economics from University of Pennsylvania.