Sisu

San Francisco, CA, USA
2028
Jan 12, 2022   |  By Rachel Lee
Developing a successful data strategy requires bringing together the right tools, building the right processes, and creating open lines of communication and collaboration with the right people within (and sometimes beyond) your organization. The true key to success is maintaining close alignment between the technical data elements and needs of the business to ensure the most important questions are being accurately and quickly answered in order to help stakeholders take informed action.
Dec 22, 2021   |  By Peter Bailis
2021 was a huge year for data. The adoption of cloud warehouses and the Modern Data Stack accelerated and expanded far beyond the early adopter crowd in Silicon Valley. And these rapid shifts in data infrastructure increased expectations that more data, wider data, and fresher data can–in theory–feed more and better organizational decisions.
Dec 15, 2021   |  By Rachel Lee
Business intelligence plays a critical role in making better decisions. By using reports and data visualizations to surface findings from a variety of data sources, BI tools can allow teams across an organization to access business data—without requiring technical expertise in SQL or coding.
Dec 6, 2021   |  By Joel McKelvey
Supply chain incidents and delays have been making the news for almost two years now, creating pain for businesses and consumers all over the world. As we approach an exceptionally busy holiday shopping season with more and more consumers turning to online shopping, there’s a rush to deliver. One of the best ways to optimize across the supply chain is to focus on key metrics, particularly those measuring supply chain incidents such as damage or delays.
Nov 16, 2021   |  By Rachel Lee
By definition, ad hoc business analysis is an unplanned or unscheduled event. The name comes from the Latin phrase meaning “for this purpose only.” An ad hoc analysis is used to answer one specific business question on an as-needed basis, and is not replicated beyond a single point in time. What separates ad hoc analysis from traditional BI-like dashboards is this limited scope.
Nov 11, 2021   |  By Rachel Lee
Ad hoc financial analysis aims to answer business questions that arise on an as-needed basis related to money and performance. These tend to be business needs that exist outside of the regularly scheduled data analysis of a given cycle, such as planned quarterly reports or the day-to-day maintenance of a KPI dashboard. Ad hoc analytics are methods of extracting real-time insights from data sources, often to answer a question with immediate implications for the business.
Nov 11, 2021   |  By Rachel Lee
As big data gets even bigger, so has the challenge to make sense of it. Businesses of all sizes are creating analytics strategies to address this. In addition to the datasets themselves, these strategies include the people, technology, and processes put in place to achieve business goals and metrics.
Nov 10, 2021   |  By Rachel Lee
Ad hoc analysis can be a quick solution to your niche business questions left unanswered by business intelligence dashboards and regular business reports. The Latin term ad hoc means “for this” or “for this purpose only.” An ad hoc analysis refers to data-driven inquiries to gain on-demand insight. Depending on the question you’re looking to answer, the outcome of an ad hoc analysis could be as small as a single data table or as large as a multipage report.
Nov 8, 2021   |  By Rachel Lee
Anomaly detection does not have the same gravitas as big data buzzwords like machine learning, advanced analytics, and decision support systems, all of which are becoming household names in the business world. But anomaly detection is just as relevant, if not more important, to a thriving business intelligence system, and ultimately, the bottom line. What is anomaly detection?
Nov 8, 2021   |  By Rachel Lee
In Latin, the term “ad hoc” means “for this.” In terms of ad hoc financial analysis, we apply that meaning to activities completed for a specific purpose. They happen outside of the standard reporting and analysis, which are normally based on report templates created by the IT department for the end user.
Dec 17, 2021   |  By Sisu
Supply chain incidents and delays are painful and costly—impacting customers and resulting in lost revenue. However, many businesses lack the resources required to quickly and accurately diagnose, resolve, and reduce these incidents. By leveraging augmented analytics, data analysts and decision-makers can reduce these incidents to increase profits, improve customer satisfaction, and mitigate risk.
Dec 16, 2021   |  By Sisu
Supply chain incidents and delays are painful and costly—impacting customers and resulting in lost revenue. However, many businesses lack the resources required to quickly and accurately diagnose, resolve, and reduce these incidents. By leveraging augmented analytics, data analysts and decision-makers can reduce these incidents to increase profits, improve customer satisfaction, and mitigate risk.
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
Nov 2, 2020   |  By Sisu
From the HILDA 2020 conference (hilda.io/2020), 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
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.