How Banks Can Utilize Data Analytics
Take30 with a Data Scientist – 12/16/21
This session will discuss how the banking industry can utilize advanced data analytics to help their business. Our experts will look into these use cases: identifying profitable customers and products, forecasting branch performance, and new site selections. This webinar will also touch on the types of external data we can leverage in addition to banks’ internal data.
Protecting your Cloud Data, hosted by KeepIt
Take30 with a Data Advisor – 12/9/21
Did you know that Microsoft Office 365 and many other SaaS applications are not backing up your data? The fine print in EULA’s states that you are responsible for your data… not the SaaS vendor. Come learn why you should care and how you can solve this problem.
– The most common reasons for data loss in SaaS application
– 7 reasons why you should protect your SaaS data via active backups
– Why you should not have backup data stored in the same cloud as your primary dataset
– Q&A with industry experts.
Your time is valuable, and the problem is simple, so this will be a 30-minute program on backup for SaaS applications.
Exploring Microsoft PowerBI Dataset Refresh Options and Automation
Take30 with a BI Expert – 12/2/21
In this session, Ironside experts explore real-world use cases with multiple options to efficiently refresh and automate Power BI datasets for better performance, increased security and reliability and lower maintenance over time.
Susan Ma | Technical Manager[/av_textblock] [/av_one_half] [av_one_half first min_height='' vertical_alignment='av-align-middle' space='' row_boxshadow_color='' row_boxshadow_width='10' margin='0px' margin_sync='true' mobile_breaking='' border='' border_color='' radius='0px' radius_sync='true' padding='0px' padding_sync='true' column_boxshadow_color='' column_boxshadow_width='10' background='bg_color' background_color='' background_gradient_color1='' background_gradient_color2='' background_gradient_direction='vertical' src='' attachment='' attachment_size='' background_position='top left' background_repeat='no-repeat' highlight_size='1.1' animation='' link='' linktarget='' link_hover='' title_attr='' alt_attr='' mobile_display='' id='' custom_class='bio-headshot' aria_label='' av_uid='av-wud68w'] [av_image src='https://ironside.wpenginepowered.com/wp-content/uploads/2020/07/0-2-80x80.jpg' attachment='20976' attachment_size='thumbnail' copyright='' caption='' styling='circle' align='right' font_size='40' overlay_opacity='0.4' overlay_color='#00aec7' overlay_text_color='#ffffff' animation='no-animation' hover='' appearance='on-hover' link='' target='' title_attr='' alt_attr='' id='' custom_class='' av_element_hidden_in_editor='0' av_uid='av-kazg11wz' admin_preview_bg=''] [/av_image] [/av_one_half][av_one_half min_height='' vertical_alignment='av-align-top' space='' row_boxshadow_color='' row_boxshadow_width='10' margin='0px' margin_sync='true' mobile_breaking='' border='' border_color='' radius='0px' radius_sync='true' padding='0px' padding_sync='true' column_boxshadow_color='' column_boxshadow_width='10' background='bg_color' background_color='' background_gradient_color1='' background_gradient_color2='' background_gradient_direction='vertical' src='' attachment='' attachment_size='' background_position='top left' background_repeat='no-repeat' highlight_size='1.1' animation='' link='' linktarget='' link_hover='' title_attr='' alt_attr='' mobile_display='' id='' custom_class='bio-title' aria_label='' av_uid='av-wud68w'] [av_textblock size='' av-medium-font-size='' av-small-font-size='' av-mini-font-size='' font_color='' color='' id='' custom_class='' av_uid='av-kazgo0ju' admin_preview_bg='']
John Fehlner | Senior Consultant[/av_textblock] [/av_one_half]
AscentData: Making Cloud Analytics Easy
Take30 with a Data Advisor – 10/7/21
Ironside’s AscentData offering allows your organization to create new cloud analytics workloads and modernize existing ones at a cost that makes sense for you.
Geoff Speare | Practice Lead, Information Management[/av_textblock] [/av_one_half]
AscentAI: Assessing your AI Viability in under 3 weeks
Take30 with a Data Scientist – 9/23/21
Start with a small investment and give us 2-3 weeks. We’ll come back with model prototypes that give you hard data on the gains you can expect to make as your analytics capabilities improve.
Drive Business Value With Azure Analytics and Power BI – Ironside & Microsoft
Take30 with a BI Expert – 8/24/21
Today, more than ever before, organizations like yours must evolve to keep up. Customers are more demanding than ever. Worldwide, businesses in every industry are seeking to drive social and economic progress in more efficient ways while growing their own profits. Data analytics is the path to accelerating your success.
Our team at Ironside, a Microsoft Gold Data Analytics Partner, held a webinar on Aug. 24 with Microsoft, sharing how you can tap into data analytics technology to start making better, data-based business moves.
Michael Vollmer | Senior Consultant[/av_textblock] [/av_one_half]
Accelerating Data Science for Customer Insights
Take30 with a Data Scientist – 7/30/21
“A use case driven approach allows you to focus on the data related to the problem you’re trying to solve.”
Among the thousands of decisions being made at your organization every day, there are golden opportunities. Some are small but have an outsized impact on profitability. Others are big enough to reshape your company’s future. So, prioritizing where you apply AI and understanding the potential impact on your business, the best opportunities stand out, and so do the best ways to act on them.
Data Science as a Service: Leverage Expertise and Data Enrichment to Optimize AI Value
Reduce risk, lower costs and realize business value faster with a stepwise approach to data-enriched AI.
This eBook looks at how to discover the potential AI use cases for your business and alternatives for their implementation. It describes a flexible, customized data science as a service approach, developed by Ironside, that reduces the risk of getting started with AI and addresses the role that data enrichment can play in delivering more value from your AI investments.
Download this 10 page eBook to learn more about:
- The importance of starting with the right use case
- How to choose the right AI approach
- The value of Ironside’s AscentAI — a flexible, customized
data science as-a-service, progressive 4-Step solution
- How to increase the business value of AI investments by adding
feature-rich location-based data to your internal datasets
- Advantages of Ironside & Precisely’s approach for AI data enrichment
Fill in the form below to get your copy of Data Science as a Service.
Why Ironside and AscentAI
Ironside has years of proven experience helping organizations successfully launch their AI journey. Our highly skilled data science team understands the common pitfalls and how to pivot around them. You can depend on Ironside to consistently offer a valuable point of view on AI/ML technology and infrastructure options and to understand that many organizations can’t jump in feet first and need a way to prove value quickly and easily with rapid cost-effective sprints before they begin to think about hiring and/or making large technology purchases. That is why we created AscentAI.
To learn more about AscentAI, visit IronsideGroup.com or you can email us at HelloAI@Ironside.com.
Ironside was founded in 1999 as an enterprise data and analytics solution provider and system integrator. Our clients hire us to acquire, enrich and measure their data so they can make smarter, better decisions about their business. No matter your industry or specific business challenges, Ironside has the experience, perspective and agility to help transform your analytic environment.
DATA | CASE STUDY
Establish a Collaborative Data Governance Strategy
A medical professional liability insurance company with clients and services spanning the U.S. that specializes in underwriting policies for physicians, dentists, advanced practices, clinics, and hospitals.
The client recognized a need for Advanced Analytics and Business Intelligence capabilities to create an information edge over the competition. In order to enable these analytics teams to develop as quickly and efficiently as possible, the client sought to enhance their existing data governance process. This process would ensure that analytic data would be trustworthy, consistent, and accurate, which would allow the analytics teams to focus all of their energy on problem solving, not data cleansing.
Ironside identified the aforementioned opportunities in a previous technology strategy engagement as being foundational prerequisites for the company to realize its analytics goals. Ironside recommended the formation of an enterprise data governance group. The group would consist of all claims data constituents from multiple subsidiaries and would be able to discuss the state of the data quality and implement improvements. The engagement was made up of the following phases:
Identify Who Will Govern
Identify What to Govern
Teach How to Govern
KEYS TO SUCCESS
With Ironside’s help, the client enjoyed many benefits, which enabled them to:
DATA | CASE STUDY
Build an Enterprise Data Warehouse for Self-Service Analytics
A multinational personal care company operating in 120 countries and regions around the world, producing cosmetics, fragrances, and hair & skin care products.
With the existing architecture and multiple siloed data marts, the client was not able to provide complete, accurate and timely business insights to stakeholders across functional areas. They were also dealing with multiple reporting platforms inherited due to acquisitions, making it tough for the IT team to provide timely support. The client needed to design a high performing central data repository that would be open to future integrations and drive self-service analytics through an enterprise-level analytics platform.
The Ironside Information Management team designed and implemented an enterprise data warehouse from multiple source systems to integrate cross functional and brand data across the Americas region. The solution included:
Assess the Architecture
Discovery & Analysis
Design & Develop
Mentor & Collaborate
KEYS TO SUCCESS
With the new data warehouse implementation, the client achieved the following benefits:
“We can easily write automated reports without any help from IT teams, and we trust the data too.”
“Earlier my month end report took over 3 hours, but with the new data warehouse it runs in under 15 minutes.”