Whitepapers

Analytics: Dawn of the cognitive era
The rise of cognitive systems marks the birth of a new era. Cognitive capabilities take analytics to the next level, fundamentally changing how systems are built and interact with humans

Cognitive Manufacturing: An Overview and Four Applications that are Transforming Manufacturing Today
Cognitive manufacturing uses cognitive computing, the Industrial IoT, and advanced analytics to optimize manufacturing processes in ways that were not previously possible. It helps organizations improve fundamental business metrics such as productivity, product reliability, quality, safety and yield, while reducing downtime and lowering costs.

eBook: Build a True Data Lake with a Cloud Data Warehouse
This eBook helps you understand the full capacity of what a true data lake can deliver and the four pillars required to support it. The right data lake platform goes deeper and broader than ever before to reach unfathomable levels of new insight. A modern cloud data warehouse integrated with a modern data management solution and essential control and governance delivers a single source of truth that is secure, governed, and fast.

A 16 Step Data Governance Plan for GDPR Compliance
When GDPR takes effect in May 2018, data governance may become one of the most important elements of your data integration architecture. This white paper by data governance expert Sunil Soares provides a practical approach for implementing a strong data governance program that ensures that you have the policies, standards, and controls in place to enforce compliance.

Principles of Data Wrangling
Trifacta has released Principles of Data Wrangling: Practical Techniques for Data Preparation, the first how-to guide on data wrangling. But why should you read this book? It’s simple – because your time is as valuable as your data.

Six Core Data Wrangling Activities
Excel is a very powerful tool we all love, however it can be painful for data preparation. If you have to clean, standardize and combine disparate data together in a consistent view to accurately pilot your business, it can be very time consuming and prone to error.

Trifacta and DataRobot Solution for Machine Learning
Many organizations today look to technology to gain competitive advantages and improve their business. These organizations want to seize every opportunity and adopt a self-service approach to their operations, automate processes, optimize outcomes, and deliver impactful insights.

Data Onboarding: A Survivor’s Guide To Combining Unfamiliar, Disparate Data
Research shows 80% of analysts are spending their time manually preparing data instead of analyzing. By automating data prep processes, it will drastically improve the efficiency, timeliness and transformation into a more data driven culture.

Introducing the New Forrester Wave for Data Preparation Tools
According to Forrester, “Trifacta delivers a strong balance for self-service by analysts and business users.” Read The Forrester Wave™: Data Preparation Tools, Q1 2017 report and find out why Trifacta received the highest possible scores for Discover and blend, Standardize and enrich, Transform, Security and Governance, Sharing, and Deployment.

Reviews for Data Preparation Tools
Data preparation is an iterative-agile process for exploring, combining, cleaning and transforming raw data into curated datasets for self-service data integration, data science, data discovery, and BI/analytics.

How Deutsche Börse Wrangles Stock Exchange Data to Drive Product Development
See how Deutsche Börse leverages Trifacta’s data wrangling solution to transform a variety of data for new exchange market products. Deutsche Börse generates huge quantities of diverse data across its organization, and needed a platform capable of efficiently wrangling that data for downstream analytic use. Learn why Trifacta was the right choice.

How GSK Uses Data Wrangling for Clinical Trial Data to Accelerate Drug Development
See how GSK uses Trifacta’s Data Wrangling solutions to accelerate drug development by putting clinical trial data into the hands of the business user. GSK gets data from hundreds of sources and needs a solution that can standardize that data to provide insights.

Data Onboarding: Combining Disparate Data Into a Consistent View
In this Trifacta demo overview, watch the data preparation steps a CPG analyst goes through to combine retailer forecast data with the corresponding orders to identify forecast discrepancies.

Cloud BI: The Time Is Now
Data and applications are now being used as platform and software-as-a-service (SaaS) offers. Now is the time to start thinking about business intelligence and analytics in the cloud.

Drive Agile Business Decisions
Successful businesses understand that accuracy in planning is the foundation for smart and confident decisions in support of the business. But with increased competition and changing business models due to digital transformation, how can your business keep up?

Unleash the Killer API
When outspoken venture capitalist and Netscape co-founder Marc Andreessen wrote in The Wall Street Journal in 2011 that software is eating the world, he was only partly correct. In fact, business services based on software platforms are what’s eating the world.

Digital Trends That Will Shape Your Future [E-BOOK]
The future will be whatever we make it. Yet the future, so the saying goes, isn’t what it used to be. As digital technology rockets through an exponential growth curve, it is fundamentally changing how we live, work and play. Our traditional ways of thinking about the future are not enough.

How data gravity is pulling your analytics to the cloud
Data and applications used to be hosted locally, on organizations' own premises. But a cloud-computing revolution has changed this default. Data is moving to the cloud and data gravity is changing how software is run in organizations. Gartner says that more than $1 trillion in IT spending will be directly or indirectly affected by the shift to cloud during the next five years.

Redefining the role of IT in a modern BI world
Since its inception over two decades ago, the primary objective of business intelligence has been the creation of a top-down single source of truth from which organizations would centrally track KPIs and performance metrics with static reports and dashboards. This stemmed from the proliferation of data in spreadsheets and reporting silos throughout organizations, often yielding different and conflicting results.

Evaluation Guide: How to choose the right modern BI & analytics platform
This evaluation guide aims to support IT organizations as they evaluate and select a modern BI & analytics platform suitable for a broad, enterprise-wide deployment. The transition to a self-service-based, modern BI model requires IT to adopt a collaborative approach that includes the business in all aspects of the overall program (see Redefining the Role of IT in a Modern BI World).

Europe Data and Analytics Salary Guide 2017
The European salary guide from Harnham examines the hiring and remuneration trends for the data and analytics market across the region. From Germany to Gibraltar, we have your questions covered no matter where you are hiring or seeking a new role.

TDWI report: Why Your Next Data Warehouse Should Be in the Cloud
The Cloud model lowers the barriers to entry especially cost, complexity, and time-to-value that have traditionally limited the adoption and successful use of data warehousing technology.

6 Key Trends for IT Decision-Makers in 2017 and Beyond
Mhe Cloud model lowers the barriers to entry especially cost, complexity, and time-to-value that have traditionally limited the adoption and successful use of data warehousing technology.