Any discussion of Master Data Management automatically includes a discussion of Data Governance. The two go hand in hand. Successful MDM implementations require understanding data ownership, stewardship, and security, as well as determining business rules to be applied to the data. Specific business rules usually include rules for matching and consolidating data items as well as data quality checks. Read more

According to ‘The Economist’, data is the new oil. It is now the world’s most valuable resource. The volume of data available to organizations to capture, store, and analyze has changed the ways in which organizations address innovation, and analytics is a true competitive differentiator.

Unfortunately, business analysts, data scientists, and other line of business users performing self-service analytics are spending a majority of their time preparing data for analysis rather than actually garnering and sharing the insights to be found in it (1), even with the help of self-service data prep tools like Alteryx, Trifacta, and Tableau’s Maestro (coming soon). Read more

It seems like data and analytics is on the top of everyone’s agenda these days. If you are accountable for providing any type of reporting, business analytics, or predictive analytics, then you are aware of the demands being placed on your time, data, and systems. If you are an executive, you are probably asking questions about your business and waiting for answers and insights.

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We refer to this cycle as the ‘speed to business insights’. One of our key principles at Ironside is helping clients to reduce the cost to innovate. How do you know that your cost to innovate is too high? Here are a few simple questions that are strong indicators: Read more

LEXINGTON, MA, Jan. 29, 2018 – Ironside, an enterprise data and analytics firm, has been awarded “Most Innovative with Data as a Differentiator” by Pitney Bowes, a global technology company that provides innovative products, solutions and data to power commerce. Read more

Ironside’s Greg Bonnette was featured in NRF’s Magazine, STORES, in the article titled “Mapping Crime Risks: Location data helps specialty retailer minimize loss and maximize sales.” written by Liz Parks in September 2017. Read more

Being the sole data champion within your organization can present difficulties when you’re vying for limited company resources and attention from the “powers that be.” No doubt, you may find the role to be frustrating at times. Yet you may also find the role to be extremely rewarding, because it gives you a great deal of responsibility and offers you with the opportunity to achieve the goal that every data champion aspires to: Gaining user buy-in of the data insights you’ve unlocked. Read more

The simple truth about data warehouses is that the traditional “big bang” method of building them doesn’t work for most organizations anymore. The diversity of data sources and formats we can access is constantly expanding, and taking them all on at once to form a single central repository results in a massive project that can take years to show value. That doesn’t mean we should throw out the concept of data warehousing altogether, though. In fact, there’s a better way to do it that is built on proven development practices, provides value as you go, and feels like less of a massive undertaking: an iterative data warehouse. Read more

Press release issued by Forbes Corporate Communications; Ironside comments on how to capitalize on data

NEW YORK, May 31, 2017 — Corporate leaders consider data and analytics capability a top investment priority. Yet despite this, faith in the data businesses rely upon is low. According to the Forbes Insights and KPMG “2016 Global CEO Outlook,” 84% of CEOs are concerned about the quality of the data they’re basing their decisions on. Read more

Yesterday, Ironside’s partner Pitney Bowes announced that they are forming a new data practice built to accelerate businesses’ digital transformation initiatives. This practice will reach across the whole company to accomplish the goal of helping organizations “utilize data and analytics to deliver a superior customer experience, support product and service innovation, and optimize business processes” according to the announcement. We see this as a major benefit for our clients. Read more

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