Data governance is a common need across organizations, and can be a very challenging subject to tackle. Understanding data governance’s components, what good governance looks like, and the drivers behind adopting it is essential to creating a successful governance effort. Read more

Creating a data and analytics roadmap is an important first step in helping your organization utilize data to achieve growth, understanding, and action. But often we hear from clients that their roadmap isn’t leading them to their desired destination. While many are successful in laying out the technical requirements, identifying the path to business outcomes, and building the right foundation, they still find themselves unable to make sufficient progress towards their goals. Read more

On June 23rd, Ironside hosted a webinar with Pitney Bowes on how to gain valuable insight when you seamlessly integrate Location Intelligence and business analytics.   Crystal Meyers, BI Engagement Manager with Ironside and Heidi Geronimo, Principal Product Manager for LI with Pitney Bowes presented on how Location Intelligence, regardless of size, is a strategic priority for insurers, especially in the Property & Casualty area.

Insurers need precise efficient ways to aggregate, visualize, and assess P&C risk.  We will review what can be done to diminish these risks and show a live demo of a risk aggregation solution which was designed specifically for P&C Insurers.

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Data discovery is a “new” technique that takes a less formal and more agile approach to analyzing data. Okay, well, it’s not really new — people have been doing this with spreadsheets for decades — but the products that support it have improved greatly and have forced a more formal consideration of these techniques. The data discovery approach produces insights very quickly, but it also encounters challenges when dealing with data transformation. Most data discovery tools are limited in their ability to manipulate data. Additionally, understanding relationships between different data entities can require expertise that some users may not possess. In order to enable agile data discovery, organizations need agile data warehousing. 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

Master data management (MDM) efforts often get bogged down quickly due to business thinking that the entire process is owned by IT when in fact they need to set the standards. Knowing how to do that and what real MDM means will help make these efforts become collaborative and smooth to run. This article will answer several questions executives and other business leaders may have regarding MDM, in addition to proposing questions that should be used in order to leverage the full potential of MDM and illustrating real-world use cases. Read more

Don’t think you have big data?  Chances are you do.  The fact is if you have a website, you have big data.  Web servers capture and store events related to user traffic.  The web logs they generate essentially tell the story of what users did when they visited your site.  This information can provide your organization with extreme business value.

If you think you have big data to analyze from your website, you may want to look into Apache Spark.  It’s easy to get started with and makes short work of analyzing your web logs.  It’s actually pretty fun to work with, too.  If you enjoyed playing with LEGOs as a kid, you may have a childhood flashback with Spark. Read more

When’s the last time you were talking data and analytics and someone stopped the conversation to ask what a term meant? If you’re wracking your brain now, you’re not alone. It’s a rare situation to run into.

Analytics professionals like being on top of things, which means sometimes when we hear something new in a conversation we just nod and make a mental note to look it up later. And then work gets busy and before we know it we’re resolving to just do our best to pick up said buzzword through context clues in other conversations. Read more

Ironside’s Crystal Meyers was featured in Vol. 19, No. 4 of TDWI’s Business Intelligence Journal. Her points are particularly relevant as business analytics begins a more pronounced shift toward a bimodal model in 2016.

Reprinted with permission of 1105 Media, Inc. As published in TDWI’s Business Intelligence Journal. Read more