Posts

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 we covered ranged from the strategic and thought provoking, to the deep technical and “how-to” with a consistent focus on how to improve the analytics experience for you and your user community.

Over the course of the year we hosted 28 sessions focused on BI, most were either focused on a specific technology (Amazon QuickSight, IBM Cognos, Microsoft Power BI or Tableau) or a comparison on how these technologies addressed a capability such as Natural Language Query (NLQ), Embedded Analytics or Cloud BI.

Many of our sessions focused on our heritage as the go-to Cognos experts including deep dives into the modern BI features in Cognos Analytics including Data Modules, Data Sets and Explorations.  In one of our most highly anticipated (and highly attended) sessions, Rachel Su from IBM Offering Management joined Ironside to lead an overview of Cognos Analytics 11.1.7 – a role she reprised last month for Cognos Analytics 11.2).

In a number of other sessions, we explored Tableau new features, touched on many of the enterprise capabilities of Power BI and introduced Amazon QuickSight to our audience. 

Creating a Centralized Metadata Model in Power BI (4/16/20)

In our first session of the Take30 series, we explored the concept of shared datasets in Power BI and offered our point of view that, for many organizations who are maturing their Power BI capabilities, shared datasets mapped well to the “traditional” approaches of centralized (and governed) metadata, yet offered a degree of flexibility for decentralized teams to move at their own pace.  (Checkout this Playlist for Power BI)

Cloud BI: A Comparison of Leading Technologies (6/25/20)

As a majority of organizations see Cloud-based analytics as critical to their current and future analytics strategies, we thought it an opportune moment to take our audience through a review of the leading BI tools we work with on a daily basis.  

We reviewed the benefits of Cloud BI, including serverless and subscription-based licensing, then provided a comparison of vendors including Microsoft Power BI, Tableau, IBM Cognos and Amazon QuickSight.  

Amazon QuickSight – New Features (10/1/20)

While relatively new to the BI marketplace, we were excited to continue our focus on Amazon QuickSight and the significant progress the AWS team is making toward a solid enterprise featureset.  

Since that time, the roadmap and feature releases have become even more aligned to the enterprise reporting use case, especially in consideration of the compelling licensing story and scalable serverless architecture on which it is based.  (you may also want to check out this intro to QuickSight session  Introduction to Amazon QuickSight (5/7/20))

Enterprise Reporting: Assessment, Simplification and Migration (2/18/21)

Lastly, we wanted to address a topic that is of increasing prominence in our day to day conversations with clients – that of enterprise reporting migrations.  

In this session, we provided our point of view on the reasons why organizations migrate from their legacy tools, offered perspectives on approaches to migrations and the important pitfalls and lessons learned when considering such an initiative. 

We touched on tooling and accelerators we’ve developed to help those who have embarked on this journey reach their destination more quickly.

____

Throughout 2020, the Take30 webinar series gave our BI Experts a new way to connect with our clients and prospects in what was otherwise a challenging year. We confirmed that our participants are not only interested in diving deep into tool functionality, they are looking for guidance in managing multiple BI tools at enterprise scale, and understanding how cloud BI can enhance their analytics capabilities without breaking enterprise reports and functionality which are critical to their business operation.

Looking forward, we are going to explore those and other questions with you as we continue to share our knowledge and provide a mix of content; from the tactical to the strategic, across all the tools we help our clients with on a daily basis.

As we enter into the Independence Holiday weekend, I wanted to drop a quick note. It’s hard to believe three months have passed since my last letter. The world is evolving daily and technology continues to play a critical role in how we all connect, track information and communicate worldwide. Despite the shift toward working remotely, the executive team and I continue to be impressed with the level of productivity, cohesiveness, employee engagement and strength as an organization that we have seen demonstrated by our team. 

Here are a few highlights:

Teamwork. My team has pointed out how their interaction with each other has expanded — collaboratively tackling projects, sharing knowledge to prepare for webinars, and helping clients deal with COVID-19’s impact on their data and business analytics. We’ve hosted weekly Town Hall forums and internal Step competitions that have promoted teamwork company-wide.Under our Strategies for Success free content offerings to our clients, we’ve rallied around our Take30 Series. 

These sessions hosted by Ironside’s Data Science, Data Advisor and Business Intelligence Leads, have made it important for Senior Consultants, Partners and Clients to come together to offer the best of our thinking. The planning and delivery has been mutually beneficial for our team and the ever-growing number of participants who we have shared 30 minutes together, multiple times per week since the start of the pandemic.

Education. This unprecedented time when we are not traveling to clients has offered a time for our consultants to learn additional skill sets and to expand their certifications. One of the greatest values we offer to our clients is understanding best practices related to integration aspects between our key partners: IBM, AWS, Precisely, Microsoft, Trifacta, Tableau, DataRobot, Snowflake, Alteryx, Matillion and Alation. For us, to continue to excel with these partners — cross-training between our Business Intelligence, Information Management and Data Science practices on our most utilized tools — has created many “a-ha” moments toward streamlining our delivery services.

Client Engagements. Despite the sunsetting of “business as usual” for now, Ironside’s business is strong. COVID-19 has impacted businesses in various ways, whether they are operating and accessing data differently or needing to measure the impact of the global environment on their businesses’ analytics. Perhaps now, more than ever, the demand for information and analytics is a “must-have” versus a “nice-to-have.” Some of our clients have found themselves busier than ever and racing to keep up with the demand for new analytics and reports. Other clients are compelled to be more hands-on with analytics that used to be automated by machine learning models that have been rendered invalid. In these cases and beyond, Ironside’s Analytics Assurance Service is here to help. Our team’s expertise is being leveraged for immediate, short term assistance to support organizations running as efficiently as possible, allowing clients to use their own skills for other tasks to avoid stifling tradeoffs. 

Thank you for your continued relationship with our team. From myself and my team to you and yours, we wish you a wonderful Independence Day. Stay safe and remain strong, both in business and in health.

Best,
Tim

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 for anyone within the past decade.

Read more

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 this within our own company. Meet Tom Clancy – hear about his journey and what he has learned along the way.

Read more

In previous releases of Cognos Analytics, we have seen a trend of integrating many of the features of metadata modeling in Framework Manager into the Cognos Analytics interface. This trend is continuing with new or improved modeling capabilities being incorporated into Cognos Analytics 11.1 Data Modules.

Read more

Customer segmentation is defined as “the process of dividing customers into groups based on common characteristics so companies can market to each group effectively and appropriately.” By using the correct attributes to define the customer segment, it allows companies to identify the right customers for targeted and relevant offers. Those who successfully define and maintain customer segmentation can derive a competitive advantage from the implementation by improving customer experience.

Read more

Data democratization is the ability of an organization to provide information to end users in an easy and effective way. The goal is to provide self-service of information to end users with minimal IT support. There are many things that can go wrong when rolling out data democratization projects. The purpose of this article is to identify potential issues and provide guidance on how to avoid them in the democratization process.

Read more

You’ve undoubtedly heard the term “Self-Service Analytics” thrown around, but what does self-service analytics actually look like in practice? What does a self-service user look like? And what prep work is needed to enable these people to serve themselves?

I spoke with Crystal Meyers, our resident Tableau guru and self-service analytics advocate to learn more. The following is a conversation with Crystal, where she explained some of the nuances of self-service analytics. Read more

At least weekly, I am granted the opportunity to meet and work alongside experienced professionals who serve in a corporate business intelligence (BI) leadership function. When they describe their role upon introduction, there is a common thread to the scope of influence and control which usually intersects one or more of these domains: Read more