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Business Analytics, Data Management, Data Science

Better Together: Data Science and Location Data

When it comes to AI and automated machine learning, more data is good — location data is even better. At Data Con LA 2019, I had the pleasure of co-presenting a tutorial session with Pitney Bowes Technical Director Dan Kernaghan. We told…

Business Analytics, Data Management, Data Science

The Importance of Data Preparation for Business Analytics

In today's "Big Data" era, a lot of data, in volume and variety, is being continuously generated across various channels within an enterprise and in the Cloud. To drive exploratory analysis and make accurate predictions, we need to connect,…

Data Science

3 Ways Machine Learning Can Enhance Insurance Underwriting

The day-to-day work of an Underwriter ranges from research, to data entry, to pricing a risk, to ultimately negotiating that premium value with an agent. At the core, they need to accurately gauge risk, on a case by case basis. But their job…

Data Management

How To Start Your MDM Journey on the Right Foot

Any journey requires a few things before getting started. Wandering through the forest can be a very pleasant experience, but if you don't plan ahead and bring your compass and map, what happens if you get lost? (I know, you probably brought…

Business Analytics, Technology Spotlight

Power BI/SSAS Tabular Modeling Essentials

Gathering data is an essential step before performing analysis in Power BI Desktop. The tool allows users to connect with many different data sources, such as traditional or cloud databases, text files, big data, and live streams. Among these…

Awards & Recognition, Data Science

Enabling Clients to Be Self-Sufficient with AI

LEXINGTON, MA, May 10, 2019 - Ironside, an enterprise data and analytics firm, was featured in a Wall Street Journal article about AI consultants that enable their clients to be self-sufficient with AI and not have to rely on their consulting…

Awards & Recognition, Data Science

Ironside Recognized in Wall Street Journal as AI for Analytics Consultant

LEXINGTON, MA, May 3, 2019 – Ironside, an enterprise data and analytics firm, was recognized in the Wall Street Journal this morning for AI work being done at one of our clients, Coverys, a Boston-based provider of medical professional liability…

Business Analytics, Technology Spotlight

Enable Bimodal Analytics with Cognos Analytics: Part 3

In the first installment of this series, we discussed the origins of Mode 2 Analytics, and in the second installment we focused on how to enable this capability in your organization using Cognos. Now that we've learned all about how Mode 2…

Business Analytics, Data Management, Featured

Analytics Anarchy: How To Manage a Multi-Vendor Analytics Ecosystem

When you think about the different ways that data gets used in your company, what comes to mind? You surely have some executive dashboards, and some quarterly reports. There might be a reporting portal containing everything that IT created…

Business Analytics, Data Science

From BI to Data Science: An Interview with Tom Clancy

At Ironside, we believe that data science is a team sport, and should be accessible to and enable as many players as possible. We work with clients on a regular basis to make data science accessible within their organization. But we also do…

Business Analytics

Defining Factors for a Successful Modern Analytics Strategy

When defining or assessing a Data & Analytics Strategy, Ironside leverages a proven framework of understanding the current state and comparing it to a desirable future state with a focus on six key areas, or pillars. In a previous…

IronsideFollow

More data is good. Location data is even better. Check out our latest Blog post, Better Together: Data Science and Location Data.
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Great day in Southern California at #dataconla. Our CEO Tim Kreytak presented to a packed house!

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Whether you are looking to reduce the time & cost to generate insights or unlock the value of your #data, a vital first step is to create a data & analytics #roadmap - a task many find daunting. Where do you begin? https://t.co/tcScGEvgcc

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By pairing #DataScience with the deep well of an Underwriter’s experience and expertise, we can increase #Underwriter efficiency and confidence, and promote standardization across the firm. #machinelearning #businessanalytics https://t.co/8wp58UUloe

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Are you a BI leader who wants to remain on the cutting edge of change? Download this eBook to learn how to evolve and thrive in a rapidly changing technology environment. #strategy #businessanalytics https://t.co/wxtHjNSK3p

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