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Sep 16, 2021   |  By Rachel Lee
Most companies today have no trouble gathering data, but knowing what to do with that data is the tricky—and time-consuming—part. Even brilliant organizations are challenged with making smart business decisions after thorough data analysis. Bridging the gap between data analytics and decisions is where a decision support system (DSS) is incredibly useful.
Sep 15, 2021   |  By Nivedita Bhaskhar
At Sisu, one of the core tasks our engine performs is a highly scalable analysis of massive datasets to extract key facts, or higher-order features (a conjunctive combination of feature=value pairs), that influence our customers’ key metrics. This allows analysts to quickly zoom in on the salient facts instead of having to manually sift through the vast search space of possible factors. Combined with business context, this helps our customers make better and faster decisions with their data.
Sep 9, 2021   |  By Rachel Lee
The current reality for most companies is that they lack sufficient processing power to leverage all the data available to them. However, this bottleneck in processing power isn’t technological—it’s human. Historically, accessibility to data was a major barrier to effective data utilization. Data lived in silos, controlled via disparate access points, each with its own governance.
Sep 2, 2021   |  By Peter Bailis
The rise of analytics engineering as a discipline is one of the buzziest trends in data. If you aren’t familiar, analytics engineering involves “provid transforming, testing, deploying, and documenting data.” This role encompasses many fields, and is closer to software engineering than conventional data analytics since it involves writing programmatic scripts and generally maintaining data as a living set of software-produced artifacts.
Sep 1, 2021   |  By Rachel Lee
When data becomes big data, with the three Vs—volume, variety, and velocity—making sense of the numbers demands sophisticated data analytics. After all, you want to take the right next steps for your business to progress forward. Enter the decision support system (DSS).
Aug 27, 2021   |  By Rachel Lee
Today, far more members of a given organization are interfacing with data and using business intelligence (BI) tools than just a few years ago. It would be great if all that access translated to actionable info – and better long-term business outcomes – but for many companies, it doesn’t. The problem isn’t that there’s “too much data” (I’d argue there’s no such thing).
Aug 26, 2021   |  By Peter Bailis
Despite a recent proliferation of tools in the modern data stack, it’s unclear whether we’re seeing an unbundling of data tooling into many separate layers, or the first steps towards consolidation of data tools. The answer has a huge impact on end users of modern analytics. Architecturally, modern data stacks look much different than they did even five years ago.
Aug 24, 2021   |  By Rachel Lee
Businesses are capturing data at an unprecedented rate and simultaneously struggling to turn that data into useful information that drives business decisions. In fact, a recent Gartner survey showed that only 23 percent of senior-level marketing leaders are satisfied with their own investments in data analytics, even while the majority are deciding to scale up those investments.
Aug 19, 2021   |  By Brynne Henn
In a world where business intelligence is everywhere and BI tools are plentiful, how do you get ahead of the competition? The right business intelligence system can accelerate business processes and work in tandem with decision makers to boost productivity, efficiency, and evaluation. But many business intelligence tools on the market—while they promise real-time and “big data” insights—oversell the quality and specificity of data analytics that they offer.
Aug 19, 2021   |  By Rachel Lee
Humans have been making decisions based on data for thousands of years, so it’s a misnomer to think that “data-driven” decision-making is a 21st century phenomenon. It’s just that data analysis looks different, and data itself is vastly more plentiful, these days. What’s really changed is our ability to analyze data more effectively using artificial intelligence and machine learning.
Aug 26, 2021   |  By Sisu
Whether you’re at an enterprise tech giant or grassroots startup, building a data-driven foundation is crucial for a business. So, where do you start? In this on-demand webinar, Rehgan Avon, CEO of Women in Analytics discusses last month's WIA Conference. She shares the special fireside chat where Falon Donohue, Partner at Narya VC, interviewed Berit Hoffmann, Sisu Chief Product Officer. They discuss what it takes to build a data-driven company and address a number of thought-provoking audience questions.
Aug 19, 2021   |  By Sisu
In this video, learn the basics of building analyses in Sisu and how to start quickly surfacing insights from your data.
Jun 7, 2021   |  By Sisu
Apr 7, 2021   |  By Sisu
Nov 2, 2020   |  By Sisu
From the HILDA 2020 conference (, Peter Bailis's keynote address on Human-in-the-Loop Proactive Analytics.
Sep 24, 2020   |  By Sisu
Designing and developing a successful portfolio revolves around your ability to acquire, retain and monetize users. So when player segments and profiles change in unexpected ways, the faster you can figure out what’s working and weed out what’s not, the faster you can bend your growth curve. Join Sisu Founder and CEO Peter Bailis in a conversation with Stephan Sherman, Super Evil Megacorp veteran and Co-Founder & CTO of Bazooka Tango, as they explore the future of analytics in a changing mobile gaming market. Hear practical examples of how some of the most successful developers and publishers are using data and analytics in new ways to diagnose key metrics like CPI, UA, and LTV.
Sep 23, 2020   |  By Sisu
Discover how Sisu complements traditional BI tools like Looker to help you find the facts impacting your metrics, faster.
Sep 23, 2020   |  By Sisu
Discover how Sisu complements traditional BI tools like Tableau to help you find the facts impacting your metrics, faster.
May 27, 2021   |  By Sisu
Assembling the perfect data stack isn't easy. The most valuable ones allow companies to take advantage of rapidly evolving technology, adding best-of-breed solutions for collecting, transforming, and analyzing data without requiring a large commitment of time and money. But too many companies see their plans for improvement impeded by the pitfalls of a monolithic, legacy applications, and outdated architecture.
May 27, 2021   |  By Sisu
In this white paper, see the tools behind Sisu and how we help companies diagnose the drivers behind their most important KPIs, in real time and using all their structured data.
May 1, 2021   |  By Sisu
Learn how to build the analytics stack of your dream with this blueprint for a better, faster, and more efficient cloud-native data architecture.
May 1, 2021   |  By Sisu
In this guide, learn how to design better datasets that leverage the rich, wide data available in cloud-native warehouses for effective diagnosis.

Analyze millions of possibilities in your data, and surface the key facts behind your metrics in seconds with Sisu.

Sisu’s Augmented Analytics platform is the fastest and most comprehensive way to understand why business metrics are changing. Based on years of research at Stanford University and proven at scale with Microsoft and Google, Sisu uses machine learning and powerful statistical analysis to help anyone diagnose changes to their business.

Enable faster data-driven decisions:

  • Faster revenue insights: Get instant visibility into what’s impacting the health and growth of your business.
  • Actionable customer analytics: Understand changing customer behavior and drive product, marketing, and sales decisions.
  • Proactive retention diagnosis: Keep your customers close with fast answers on the key drivers of churn.

Accelerate the analysis of complex cloud data.