Blog - Ironside Group

Why outsourcing can make all the difference when it comes to successful data and analytics transformation

What causes advanced analytics and AI initiatives to fail? Some of the main reasons include not having the right compute infrastructure, not having a foundation of trusted data, choosing the wrong solution or technology for the task at hand…

Data Science

Elevate Your Data Science Initiatives with Data Enrichment

In recent years, the field of data science has been advancing in leaps and bounds. In most enterprises, executives are aware that they need to be doing more with both internal data and external data by leveraging advanced analytics. They understand…

Business Analytics, Data Management

Modern Analytics Framework Series – Part 2: Treating all data equally vs. a value-based approach

If you rely solely on a data warehouse as your repository, you have to put all your data in the warehouse--regardless of how valuable it is. Updating a data warehouse is more costly. It also takes a lot of time and effort, which usually…

Business Analytics, Data Management

Modern Analytics Framework Series – Part 1: Things to know if you’ve been delaying analytics modernization

Today’s companies have no shortage of data. In fact, they have more than ever before. And they know that, hiding in that data, are insights for better business decisions and competitive superiority. But even with all the investments…

Data Science

Top 4 Data Science Sessions of 2020: Part 3 of Take30’s One-Year Anniversary

Ironside’s Take30 with a Data Scientist series was typically targeted towards business leaders, with topics focused on strategy, including use-case development advice, de-risking AI with Data Science-as-a-Service, and ways to overcome common…

Business Analytics, Featured

Top 5 BI Expert Sessions of 2020: Part 2 of Take30’s One-Year Anniversary

Looking back now that we’ve reached the one year anniversary of the Take30, we appreciated the opportunity to share our perspective on a range of Business Intelligence (BI) topics with a wide and diverse audience. The topics…

Business Analytics, Data Management, Data Science, Featured

Top 5 Data Advisor Sessions of 2020: Part 1 of Take30’s One-Year Anniversary

The Ironside Take30 webinar series premiered on April 16th, 2020, with the goal to share expert dialog across a variety of data and analytics related topics to a wide range of audiences. The series has three primary dialog categories, each…

Business Analytics, Technology Spotlight

The Power of Embedding Analytics

The integration of BI solutions within business process applications or interfaces has become a modern standard. Over the past two decades, Business Intelligence has dramatically transformed how data could be used to drive business and how…

Featured

Ironside appoints Paul Hardy to Executive Vice President of Professional Services

Ironside, a Boston enterprise data and analytics service firm, announced this week the appointment of Paul Hardy to Executive Vice President of Services. He has been promoted to this role following his tenure as Vice President of Advisory Services.…

Business Analytics

Power BI – Best Practices for Metadata Modeling using Composite Models

Microsoft recently released one of the most sought after features for Power BI. As of the December 2020 update, there is a new preview feature that allows you to build a partitioned metadata model in Power BI. Formally called “DirectQuery…

Data Science

Getting Started with AI: Four Things to Consider

So you’re thinking that 2021 is the year to infuse Artificial Intelligence/Machine Learning (AI/ML) into your business. You’ve read about the difference it’s making in other organizations. You want to beat -- or keep pace with -- your…

Ironside Follow

We make the world of business smarter. A trusted partner who turns data into valuable insights that drive positive business outcomes #Data #Analytics #AI #Cloud

Ironside welcomes our newest Associate Data Scientist, Rhythm Ahir! We look forward to seeing what he brings to our #ArtificialIntelligence and #MachineLearning initiatives. Rhythm joins us with a Master's in #DataScience from the New Jersey Institute of Technology.

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Today's #Take30 #tbt dives into a use-case driven discussion of how #advancedanalytics integrates data from multiple sources to drive change in the eight areas of the #HigherEducation lifecycle. Check out the webinar with our partner @ibm here: https://irns.de/3Zdtdcz

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Retweet on Twitter Ironside Retweeted

▶️ WATCH | Panelists at the CDO Midwest Summit 2022, share insights on accelerating innovation and using data and analytics as business drivers.
https://bit.ly/3IV0Vxm

@Rackspace
@BelcanGlobal
@SVB_UK
@MedOneInc
@IronsideGroup

✔️Check out our 2023 events here:

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For today's #Take30 #TBT, we're revisiting our S.A.L.T. demo, exploring the powerful combination of #Snowflake, #Alteryx, & #Tableau and how it can be used to implement a #ModernAnalyticsFramework. Check it out here: https://irns.de/3leq2Dv

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For today's #Take30 #tbt, we revisit our session on how the #Banking industry can utilize #advancedanalytics to help their business. Check out this clip to see the use cases our expert cover, and click the link for the full session! #DataScience https://irns.de/3L82JFS

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Welcome to our blog.

Why outsourcing can make all the difference when it comes to successful data and analytics transformation

Elevate Your Data Science Initiatives with Data Enrichment

Modern Analytics Framework Series – Part 2: Treating all data equally vs. a value-based approach

Modern Analytics Framework Series – Part 1: Things to know if you’ve been delaying analytics modernization

Top 4 Data Science Sessions of 2020: Part 3 of Take30’s One-Year Anniversary

Top 5 BI Expert Sessions of 2020: Part 2 of Take30’s One-Year Anniversary

Top 5 Data Advisor Sessions of 2020: Part 1 of Take30’s One-Year Anniversary

The Power of Embedding Analytics

Ironside appoints Paul Hardy to Executive Vice President of Professional Services

Power BI – Best Practices for Metadata Modeling using Composite Models

Getting Started with AI: Four Things to Consider

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