Cubes (including Cognos PowerCubes and Dynamic Cubes, as well as other file-based cube technologies) are well-known, commonly used, and valuable data sources in reporting.  As specially indexed binary files, report performance with cubes is generally robust, however when cube files grow very large (or there is high simultaneous demand reading from the cube), response time can and will decrease. That’s why it can sometimes be useful to show cube sizes on BI reports to let authors know when a cube’s size could be affecting performance. Read more

The immense amount of data being collected today, in any industry, expands the reality of advanced analytics and data science. In concept, it creates an explosion of opportunities and expands what can be accomplished. In reality, we are often limited in scope by our data processing systems which may not be able to handle the complexity and quantity of data available to us. The introduction of Spark has offered a solution to this issue with a cluster computing platform that outperforms Hadoop. Its Resilient Distributed Dataset (RDD) allows for parallel processing on a distributed collection of objects enhancing the speed of data processing. For this reason, Spark has received a lot of interest and promotion in the world of big data and advanced analytics, and for good reason. Read more

Policing in the United States and around the world is rapidly changing.  Just as there have been paradigm shifts in law enforcement procedures in the past, we are now on the brink of another transformation of how communities are policed.  Current national narratives and recent events are motivating these changes, and like it or not, a new era of law enforcement is upon us.  One of the main solutions that helps law enforcement adapt to this change is adopting a sound data driven policing strategy. Read more

On April 26th, Ironside hosted a webinar on Rolling Forecast Essentials. Members of our Financial Performance Management team, Mark Flyamer, Senior Consultant and Rich Canale, Solution Architect, discussed the foundation needed to start implementing rolling forecasts work at your organization.

Rich and Mark discussed design techniques to help you expedite rolling forecast models and minimize the hours needed to get a working solution all while preserving the accuracy and integrity of your financial data.

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For the second year in a row, Ironside has been named one of IBM’s Beacon Award finalists, this time in the category of Outstanding IBM Analytics Line-of-Business Solution. This recognition comes in honor of the compelling results that our IronShield predictive policing platform has generated.

About IronShield

IronShield Ironside predictive policing logo

IronShield provides turnkey predictive hot spots policing and analytics for law enforcement. It enables data-driven, evidence-based policing that stops crime before it happens and is customizable to the environment in which it’s implemented, going beyond its initial hot spots module to target each community’s needs. Our CEO Tim Kreytak recently highlighted the impact IronShield has had in Manchester, NH helping the city’s police department combat the heroin crisis. Read more

Officer Matt Barter

Ironside is excited to welcome Matt Barter into our ranks as our Industry Lead for Crime Prediction & Prevention. As a currently active police officer in an urban New England city, Matt is perfectly positioned to understand the unique challenges law enforcement officials at any level face and uncover the solutions that will let them proactively reduce crime in their communities. Read more

Ironside hosted a webinar on IT-Driven vs. User-Driven Analytics: How to Coexist. Rob Minogue, Director of Advisory Services and Scott Misage, Business Analytics Practice Lead, presented on how to bridge the gap between IT-Driven analytics and User-Driven analytics and innovative approaches to monitoring and governance.

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Let’s go back a few years. You and your company invested significant amounts of time, effort, and capital to implement a business intelligence environment meant to serve the analytic needs of your organization and help drive insights. You and your team spent extra effort in developing the metadata and reporting that the business said they required, yet you’ve been hearing about users downloading free tools for analysis, your development request backlog has dried up, and a quick look at your audit logs shows flat, or worse, declining usage of your environment. What’s going on? Read more

Financial analytics and performance monitoring are vital components in an organization’s success. The ability to review and quickly react to industry and market changes is a critical competitive advantage that requires agile analytics to get right. The rolling forecast is a continuous planning process that provides your organization with just such an analytical vehicle.  Extending beyond the traditional fiscal year review, it combines actual data with forecast results across a rolling number of periods to provide a consistent analytic horizon.  An organization’s rolling forecast process must support variance analyses of performance versus targets using the most current information. This is necessary if they want to recognize and reflect actionable changes that will keep them on or get them back on course. Read more