Analytics projects begin with data preparation. Often many sources of data will be used to solve for complex problems, including data from external sources. Raw data is rarely trustworthy or accurate to begin with, and needs to be transformed into reliable, trusted data. Altair data preparation seamlessly connects to different data sources and formats. Business users and data specialists can easily discover, access and transform data to be used for next-level decision making intuitive workflows. Automated tasks and pre-built data models make governed, collaborative data preparation effortless.
In data analytics, everything boils down to good data, and quality of the data. No code data preparation from Altair means people with many different skill sets can connect to many different data sources, and quickly cleanse, blend and transform difficult to use data into trusted and accurate data. A larger amount of people working with data means more insights can be discovered when solving for complex problems.
More than ever, large amounts of disparate data are being operationalized to solve for complex problems. To keep up with the demand, the automation of data transformation tasks and standardized report formats is essential. Altair allows organizations to work collaboratively, store and retrieve reports easier, and integrates with enterprise content management (ECM) and robotic processing automation (RPA) platforms.
Data in silos hampers decision making and generates inefficiencies as many people may be trying to solve for the same problem. Our collaborative data transformation and machine learning platform allows business and data analytics teams to work together using a secured, governed and centralized location. Sharing accurate and trusted data facilitates cross functional analysis, generates new use cases, and increases the diversity of work being accomplished while mitigating the potential lack of awareness of what is available.