Haystack helps you make more informed decisions by transforming raw data into actionable information. We compress the time window between data discovery and insight.
Direct your business with pre-built and ad hoc reports, dashboards and scenario modeling. Our custom dashboards allow users to view aggregated information from across the enterprise and explore data to gain new insights. Simple point-and-click manipulation enables discovery of hidden patterns and relationships.
Users can access and create interactive dashboards and reports right from their Android, Windows or Apple iOS mobile device, putting the power of data in the palm of their hand.
We combine business, IT, data science and software engineering expertise to develop tailored data strategies that reflect your business priorities and your technology architecture, and create new value that helps build your organization.
Advanced Analytics is the autonomous or semi-autonomous examination of data or content using sophisticated techniques and tools, typically beyond those of traditional business intelligence (BI), to discover deeper insights, make predictions, or generate recommendations. Advanced analytic techniques include those such as data/text mining, machine learning, pattern matching, forecasting, visualization, semantic analysis, sentiment analysis, network and cluster analysis, multivariate statistics, graph analysis, simulation, complex event processing, neural networks.
Advanced data analytics is being used across industries to predict future events. Marketing teams use it to predict the likelihood that certain web users will click on a link; healthcare providers use prescriptive analytics to identify patients who might benefit from a specific treatment; and cellular network providers use diagnostic analytics to predict potential network failures, enabling them to do preventative maintenance.
Advanced analytics practices are becoming more widespread as enterprises continue to create new data at a rapid rate. Now that many organizations have access to large stores of data, or big data, they can apply predictive analytics techniques to understand their operations at a deeper level.
Data comes in all shapes in sizes. It comes in massive chunks and tiny bits. It can be neatly organized or completely raw. Data surrounds us, and it grows exponentially by the second. With so much and so many types of data, we can’t help but wonder how to manage it all. If you’ve tried to manage data on your own, you’ve undoubtedly discovered how difficult it can be to keep up. Data can be intimidating, but it doesn’t have to be. Haystack has made mastering data our business. Instead of working for your data, your data should be working for you. We can help you achieve just that.