White Paper

Five Ways Leading Businesses Use Tableau Write-Back Extensions

Forward-thinking organizations see investing in a Tableau license as just the start. They realize that customizing your Tableau deployment to your unique use cases is the key to making the most of the platform, and one way to do this is to streamline the communication and write-back processes to optimize workflows.

Five AI Trends in Healthcare to Watch in 2022

AI is transforming healthcare, unlocking unprecedented opportunities for enabling easier discovery of deeper insights that drive innovation – but the available technologies can very greatly in their maturity and domain-specific applicability. This white paper introduces five proven, future-resilient solutions to challenges that healthcare providers face today.

Understanding Topic Modeling and Planning Its Implementation

Topic modeling enables the analysis of text-based data to leverage insights that are difficult to extract and understand to help you optimize costs, improve operations and drive innovation. Read this white paper to understand the fundamentals of topic modeling and learn how to get started implementing it.

Optimizing Cloud Services for Operational Efficiency and Cost Savings

Cloud opens up a wealth of opportunities and can drastically reduce operational costs in the long-term — especially if you know where to look. This white paper introduces the most common strategies for ensuring that you get the most value from your move to the cloud.

Machine Learning Applied to Customer Targeting for Direct Sales

Using ML to effectively target the right customer at the right time with the right information can make a big difference in how effective your campaign is. This short white paper discusses some of the approaches and demonstrates how one company achieved a 6x uplift in conversions by apply ML to customer targeting.

Demand Forecasting with Latent Matrix Factorization

For many businesses, demand planning is essential. Profitability, cash flow, and customer satisfaction and retention all hinge on getting this right. This white paper will introduce latent matrix factorization to model demand curves and discuss how it can be used to achieve these outcomes.

Starschema HealthLake

Healthcare Information Technology (HIT) is an indispensable part of managing and delivering healthcare services but patient data handling is highly regulated, presenting a challenge to practitioners. Learn how Starschema HealthLake can ensure compliance with the U.S. Health Insurance Portability and Accountability Act (HIPAA) while streamlining analytics.

Building AWS based Enterprise Data Lakes

Forward-thinking companies are harnessing the power of the cloud to consolidate data silos into data lakes. A well-designed data lake helps executives gain valuable insights, take actions and make faster and better decisions, all while ensuring data security. Still, it’s not easy to decide on the right technical solution for your business — this white paper will help.

Machine Learning for Business Leaders

From recommender systems on streaming services to personal assistants like Siri or Alexa, ML is nearly everywhere today. This white paper demystifies machine learning for non-technical business stakeholders to better collaborate in, and derive more value from, data science initiatives.

Opening the Black Box - Learn how to think about AI and thrive in data-driven cultures of today and tomorrow

Machine Learning models can be so complex that they seem like a magical black box with inputs and outputs, but little understanding of how the outputs are derived. In this white paper,

Eszter Windhager-Pokol, Starschema head of data science, explains the concept of interpretability and several methods to address the problems posed by black box models.

Starschema Antares iDL™

A fully automated, compliant-by-design intelligence data lake architecture with real-time ingestion and best-of-breed standardization and audit features.

Predictive Maintenance in Manufacturing

Data scientists and manufacturing specialists can examine production lines to determine what data can be used to predict future failures and how to best collect it. A recent (2018) report on the manufacturing industry saw 31% of manufacturing CEOs expecting artificial intelligence and machine learning to contribute to a reduction in operating costs. Learn how predictive maintenance helps make this reality.