Known as Predictive Analytics, we’ll use data mining and machine learning to create models. Our models allow you to segment your data or third party data to optimize your campaign results.
What if you could take your existing database and siphon out only the most valuable information; the information that helps you reach your business goals? Increase the value of your data with effective data asset management completely optimized for your objectives.
Let no marketing dollar go to waste. Rather than blindly reaching out to a volume of database contacts, optimize your campaigns through analytics in order to strategically structure your campaigns in a way that aligns with your marketing goals.
Data can be overwhelming. Our data engineers use proprietary data analytics tools to extract the data that you need from your database, saving time and money in gathering business insight and assisting in the integration and migration of your business data.
When historical data and business intelligence converge, our GPU computing environment produces the most sophisticated consumer insight in the world.
How does it work?
We take decades of data on human demographic and psychographic behavior in your market segment. In the blink of any eye, our software gathers thousands of attributions that shape people’s philanthropic and consumer tendencies. This information helps us optimize your future campaigns and maximize your financial results.
What do we use?
Innovative, next-generation modeling that exceeds anything else available in the current market. Our organization is is evolving with the fastest and smartest weapon in the market: a sophisticated computer analytics platform that uses statistics and logic and removes bias and guesswork. What’s left? The most intricate and intimate data that can possibly be collected on millions of consumers and gives.
Which decisions can be made with this data?
Make strategic decisions regarding acquisition, budget and fundraising resources to get the highest returns on your investment, now and in the future.
Alteryx Analytics provides analysts with the unique ability to easily prep, blend and analyze all of their data using a repeatable workflow, then deploy and share analytics at scale for deeper insights in hours, not weeks.
Analysts love the Alteryx Analytics platform because they can connect to and cleanse data from data warehouses, cloud applications, spreadsheets and other sources, easily join this data together, then perform analytics – predictive, statistical and spatial – using the same intuitive user interface, without writing any code.
Tableau helps people see and understand their data.
In 2020 the world will generate 50 times the amount of data as in 2011. And 75 times the number of information sources (IDC, 2011). Within these data are huge opportunities for human advancement. But to turn opportunities into reality, people need the power of data at their fingertips. Tableau is building software to deliver exactly that.
Tableau software is transforming the way people use data to solve problems. Their software makes analyzing data fast and easy, beautiful and useful. It’s software for anyone and everyone.
The Apache™ Hadoop® project develops open-source software for reliable, scalable, distributed computing.
The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures.
mlpy is a Python module for Machine Learning built on top of NumPy/SciPy and the GNU Scientific Libraries.
mlpy provides a wide range of state-of-the-art machine learning methods for supervised and unsupervised problems and it is aimed at finding a reasonable compromise among modularity, maintainability, reproducibility, usability and efficiency. mlpy is multi-platform and works with Python 2 and 3 and it is Open Source, distributed under the GNU General Public License version 3.
"VeraData’s Alteryx training has helped our analysts make better informed business decisions with a common platform and simplified process. We're able to publish our data to a Tableau data extract and on the server. Alteryx has also simplified our reporting process . A report that used to take a week to update, now takes minutes. We now solve business problems using analytics in a more streamlined format."
"VeraData has taken our data to the next level. With their analytics software, they have been able to profile our database, which has allowed us to optimize campaigns and increase our response rate using our existing database of customers. Over time we have increased our average donation by 10% by using VeraData’s predictive analytics, without increasing our overall marketing budget."
"The people at VeraData are like no other in the analytics and digital marketing space. They are able to find insight in our data that other marketing companies have not been able to uncover. They work as a team with our employees and vendors, using data to help the company work smarter. Their insight drives our marketing investment decisions."