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Ironside, an Enterprise Data and Analytics firm, was featured in a Wall Street Journal article highlighting AI consultants that enable their clients to be self-sufficient with AI and not have to rely on their consulting counterparts to manage the model. A key part of Ironside’s strategy is having a broad portfolio of technology partners to see how they fit together to provide more value to our mutual customers. Two partners that fit together well are Precisely, an industry-leading Data Provider, and AWS, an Industry cloud leader. Precisely and AWS are technology partners — Precisely Data is offered through the AWS Marketplace and AWS Data Exchange. Ironside saw an additional opportunity for them to work together and Precisely was very interested to move forward. 

Through Ironside’s combined expertise, in both Amazon QuickSight and Precisely’s expertly curated location data, they designed an enhanced business user experience for Amazon QuickSight customers.  In this solution, Ironside leveraged Amazon QuickSight’s ability to ingest multiple data sources (like Precisely Points of Interest data stored in S3/Redshift/Snowflake) in addition to customer data repositories to create enriched Insights. 

Exhibit A: Precisely Points of Interest Data providing Context to Amazon QuickSight Bike Sharing Ridership Dashboard

Ironside’s Practice Lead for Business Intelligence, Scott Misage, shared, “As the diversity and volume of data increase, organizations need to find ways to harness this data explosion and find pathways to bringing additional insights and intelligence to visualizations and dashboards. By leveraging the capabilities of these two complementary partners, it’s easier than ever for organizations to accelerate time to value with analytics.”

For Precisely’s Sales and Consulting teams, their Amazon QuickSight environment, created by Ironside, will provide them a User Experience to demonstrate how their data can enhance customers’ AWS data platform strategy. Matt Reaves, Vice President, Channel Sales at Precisely shared, “Ironside’s vision and expertise in execution has given our customers and sales teams great tools to showcase how Precisely Data can increase the value of their adoption of AWS. Ironside’s work with the QuickSight platform helps to demonstrate context for our multiple datasets.” 

Precisely’s Amazon QuickSight environment is supported by Ironside’s Managed Service team with additional expertise from their Business Intelligence Practice. As new features in Amazon QuickSight are made available, Ironside works to incorporate them into the environment and assists the Precisely teams with understanding how these releases impact a customer’s use of Precisely Data for enriched Insights.

ABOUT IRONSIDE
Ironside helps companies translate business goals and challenges into technology solutions that enable insightful analysis, data-driven decision making and continued success. We help you structure, integrate and augment your data, while transforming your analytic environment and improving governance.

ABOUT PRECISELY
Precisely is a new company with a remarkable heritage. We were formed when Syncsort and Pitney Bowes Software & Data combined, bringing together decades of experience and expertise in handling, processing and transforming data. Precisely data integration, data quality, location intelligence, and data enrichment products power better business decisions to create better outcomes.

ABOUT AWS

Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud platform for 14 years. AWS offers over 175 fully featured services for compute, storage, databases, networking, analytics, robotics, machine learning and artificial intelligence (AI), Internet of Things (IoT), mobile, security, hybrid, virtual and augmented reality (VR and AR), media, and application development, deployment, and management from 77 Availability Zones (AZs) within 24 geographic regions, with announced plans for nine more Availability Zones and three more AWS Regions in Indonesia, Japan, and Spain. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—trust AWS to power their infrastructure, become more agile, and lower costs.

The world has changed dramatically over the course of a single month, and companies are struggling even more with things that have historically challenged them:

  • Finding the best people to run, build and innovate on their analytics tools and data
  • Making these environments accessible to employees in a work-at-home model

In this Forbes article, Louis Columbus cites a recent Dresner survey that shows up to 89% of companies are seeing a hit to their BI and Analytics budgets due to COVID-19. The survey includes these two recommendations:

Recommendation #1

Invest in business intelligence (BI) and analytics as a means of understanding and executing with the change landscape.

Recommendation #2

Consider moving BI and analytical applications to third-party cloud infrastructure to accommodate employees working from home.


89% of companies are seeing a hit to their BI and Analytics budgets due to COVID-19.


We’re here to help you explore your options.

Now that the role of analytics is more important than ever to a company’s success, analytics leaders are again being asked to do much more with much less — all while companies are experiencing staff reductions, navigating the complexities of moving to a work-from-home model, and struggling to onboard permanent hires.

To address these short-term shortages (and potentially longer-term budget impacts), companies are naturally evaluating whether leveraging a managed-service approach — wholly or even just in part— can help them fill their skills gap while also reducing their overall spend.

As they weigh this decision, cost, technical expertise, market uncertainty and the effectiveness of going to a remote-work model are all top-of-mind. Here’s how these factors might affect your plans going forward:

Factor 1: Cost

As the Dresner number showed, most analytics teams need to reduce spend. Doing this mid-year is never easy, and usually comes at the expense of delayed or canceled projects, delayed or cancelled hiring, and possibly even staff reductions. All of these decrease a company’s analytics capabilities, which in turn decreases its ability to make the right business decisions at a critical time. A managed services approach to meeting critical analytics needs, even just to address a short-term skills gap, can provide valuable resources in a highly flexible way, while saving companies significant money over hiring staff and traditional consulting models.

Factor 2: Technical Expertise

A decade ago, your options for analytics tools and platforms were limited to a handful of popular technologies. Today even small departments use many different tools. We have seen organizations utilizing AWS, Azure, and private datacenters. Oracle, SQL Server, Redshift all at the same company? Yes, we have seen that as well. Some of our customers maintain more than five BI tools. At some point you have to ask: Can we hire and support the expertise necessary to run all these tools effectively? Can we find and hire a jack-of-all trades?

In a managed services model, companies can leverage true experts across a wide range of technology while varying the extent to which they use those resources at any particular time. As a result, companies get the benefit of a pool of resources in a way that a traditional hiring approach simply cannot practically provide.

Factor 3: Effectiveness of Remote Work Engagement

If you weren’t working remotely before, you probably are now. Companies are working to rapidly improve their processes and technologies to adjust to a new normal while maintaining productivity.

Managed service resourcing models have been delivering value remotely for years, using tools and processes that ensure productivity. Current events have not affected these models, therefore making them an ideal solution for companies  trying to figure out the best way to work at home.

Times are changing. We’re ready!

Ironside has traditionally offered Managed Services, to care for and maintain customer platforms and applications, and consulting services, to assist in BI and Analytics development.

Companies can leverage our Analytics Assurance Services temporarily, for a longer period of time to address specific skills gaps, or to establish a cloud environment to support remote analytic processes.

With Ironside, you can improve your data analytics within your new constraints, while reducing your costs. We’d love to show you how.

Contact us today at: Here2Help@IronsideGroup.com

Earlier today the AWS team unveiled two new capabilities for QuickSight, Amazon’s signature Business Intelligence tool. Speaking live from the AWS re:Invent conference at the Venetian in Las Vegas, the four hosts announced the ability for users to easily embed QuickSight dashboards in applications and previewed new native Machine Learning capabilities. Read more