STRATEGY | CASE STUDY

Formulate a Data & Analytics Roadmap for Acquisition Growth Strategy

COMPANY OVERVIEW


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.

BUSINESS NEED


The firm looked to strategic acquisitions to bolster growth. However, acquisitions presented challenges such as consolidating the customer base, cumbersome data integration, conflicting master and reference data, and impaired data accessibility. To solve these issues—and create and extract unrealized value from old and new business operations—the firm needed a partner.

SOLUTION


Ironside’s Advisory team was called in to partner on a Data & Analytics Roadmap to chart the firm’s growth, establish enterprise-wide data governance, and create an improved data integration framework that allows new acquisitions to continue independent operations. The partnership consisted of four parts:


Find Opportunities


  • Develop a portfolio of use cases with business stakeholders to get a comprehensive view of how data is used to support processes, analytics and reporting

  • Assess current data & analytics maturity, understand the firm’s ideal state, and focus on questions of who, what, why and when in regard to firm’s use of data & analytics


Identify Focus Areas


  • I.D. data integration and data modeling as pain points based on use cases, and delineate well-defined data governance and master data management (MDM) as solutions

  • Use data governance and MDM to define standards for data quality, data integration and data modeling to optimize information for party, policy, claims, and billing


Generate Value


  • Formulate a roadmap that cross-references use cases and pain points to lay out a step-by-step plan to enhance flexibility and continuity of data infrastructure and create new analytics capabilities

  • Establish data governance to mold relationships between people, processes, and technology


Revolutionize M&A Data Capabilities


  • Engineer framework for focused data governance and MDM to unlock a wealth of synergy for the client and their acquisition growth strategy

  • Create foundation for long-term, scalable data integration and standardization of all operations

  • Enable enterprise-wide analytics, streamlined processes, and decision automation


KEYS TO SUCCESS


By leveraging data governance and MDM, the firm established a repeatable methodology to integrate and standardize data across multiple business lines. They were able to:

  • Introduce new data entities and stewardship into the data governance model

  • Focus on the delivery of high-quality data

  • Promote a single version of the truth through Master Data Management (MDM)

  • Leverage a centralized MDM data model with scalable analytics and reporting

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border_color='' radius='10px,10px,0,' background_color='#ffffff' src='' attachment='' attachment_size='' background_position='top left' background_repeat='no-repeat' animation='' mobile_breaking='' mobile_display='' custom_class='' av_uid='av-320m815'] [av_heading tag='h2' padding='10' heading='Become one of our successful clients.' color='' style='blockquote modern-quote modern-centered' custom_font='' size='' subheading_active='' subheading_size='15' custom_class='' admin_preview_bg='' av-desktop-hide='' av-medium-hide='' av-small-hide='' av-mini-hide='' av-medium-font-size-title='' av-small-font-size-title='' av-mini-font-size-title='' av-medium-font-size='' av-small-font-size='' av-mini-font-size='' av_uid='av-2os9ax5'][/av_heading] [/av_one_full][av_one_fourth first min_height='av-equal-height-column' vertical_alignment='av-align-top' space='no_margin' margin='0px' margin_sync='true' padding='0px,0px,50px,0px' border='' border_color='' radius='0px,0px,0px,10px' 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STRATEGY | CASE STUDY

Target Short List of Vendors for Enterprise Analytics

COMPANY OVERVIEW


Global asset manager with investment offices in major trading centers worldwide.

BUSINESS NEED


The company was struggling with how to unify its analytics approach, while remaining compliant with financial industry standards. With different departments gathering information in disparate ways, the existing model was not sustainable. It was imperative to identify common use cases, target a short list of vendors whose capabilities matched the use cases, and navigate the RFP and demo processes.

SOLUTION


Ironside was called in, and made it clear from the outset that system selection is about people, not just technology. The approach consisted of four steps:


Make Analytics Human


  • Start by focusing on people, rather than platform features

  • Conduct interviews to identify the questions, goals, and pain points that stakeholders need to address via analytics

  • Classify 92 distinct use cases by tying them into analytics technical capabilities


Narrow the Focus


  • Match key criteria with vendor prospects based on Ironside’s 20 years of experience and research from Gartner, Forrester, Nucleus, Ovum and BBT

  • Build a short list of five vendors and send out Requests for Proposal (RFPs)


Dig Deeper


  • Develop a data set and demo scenario that measures how each platform meets company’s data needs

  • Process survey responses from stakeholders after each demo to get their assessments of vendor performance against scoring criteria


Make the Choice


  • Generate scores of which vendors best meet company needs, based on stakeholder survey responses, capability requirements, and financial services industry standards

  • Choose the best fit based on the vendor’s balance between enterprise BI and data discovery, security options, MS Office Integration, and on-premises installation


KEYS TO SUCCESS


The vendor selection process enabled the client to:

  • Use in-depth interviews to discover user priorities and tailor decisions on analytics

  • Generate concrete artifacts that connected needs to analytic capabilities

  • Open the lines of communication between business and IT

  • Develop a unified, extensible and flexible analytics strategy that freed data from silos

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link='portfolio_entries,1123' wc_prod_visible='' prod_order_by='' prod_order='' sort='no' items='3' columns='3' paginate='none' query_orderby='date' query_order='DESC' size='fixed' orientation='av-orientation-square' gap='large' overlay_fx='active' id='' caption_elements='title' caption_styling='overlay' caption_display='always' color='' custom_bg='' av-medium-columns='' av-small-columns='' av-mini-columns='' av_uid='av-2ibtovw' custom_class=''] [/av_tab_sub_section][av_tab_sub_section tab_title='Analytics' vertical_align='middle' icon_select='no' icon='ue800' font='entypo-fontello' tab_image='' tab_image_style='' color='' background_color='' src='' attachment='' attachment_size='' background_attachment='scroll' background_position='top left' background_repeat='no-repeat' custom_class='' av_uid='av-1ztjhss'] [av_masonry_entries link='portfolio_entries,1124' wc_prod_visible='' prod_order_by='' prod_order='' sort='no' items='3' columns='3' paginate='none' query_orderby='date' 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background_color='#ffffff' src='' attachment='' attachment_size='' background_position='top left' background_repeat='no-repeat' animation='' mobile_breaking='' mobile_display='' custom_class='' av_uid='av-28fflmx'] [/av_one_fourth][av_one_half min_height='' vertical_alignment='av-align-top' space='' margin='0px' margin_sync='true' padding='30px,40px,50px,40px' border='' border_color='' radius='0px' radius_sync='true' background_color='#ffffff' src='' attachment='' attachment_size='' background_position='top left' background_repeat='no-repeat' animation='' mobile_breaking='' mobile_display='' custom_class='' av_uid='av-1rz7q7d'] [av_button_big label='Take our Data & Analytics Self-Assessment' description_pos='below' link='page,15594' link_target='' icon_select='no' icon='ue800' font='entypo-fontello' custom_font='#ffffff' color='custom' custom_bg='#00aec7' color_hover='theme-color' custom_bg_hover='#444444' custom_class='' admin_preview_bg='' av_uid='av-4pr12h'][/av_button_big] 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STRATEGY | CASE STUDY

Create a Strategic Data & Analytics Roadmap for Customer Behavior

COMPANY OVERVIEW


After beginning as a small start-up, a multi-channel information company grew into an organization with more than 500 employees serving 10,000+ customers. It specializes in offering expert print and online business information that helps improve job performance.

BUSINESS NEED


The company was looking to transform itself by migrating to a more advanced digital warehouse. Such a move would enable the company to gain added insights into its customers’ behaviors, and then combine the insights with detailed customer information from the web, telemarketing, and email channels to enhance its marketing efforts.

SOLUTION


Ironside was brought in to assist. Our Analytics Advisory team used a proven methodology to define the client’s strategies, goals, and use cases—and to show the client how user tasks and corporate goals translate into analytic capabilities. The overall solution featured four parts:


Maturity Matrix


  • Complete surveys and interviews with key stakeholders to identify strategic data & analytics needs and pain points

  • Assess current state of holistic data & analytics usage and establish roadmap of recommendations for pilot-based initiatives


Use Case Development & Roadmapping


  • Catalog use cases—including attaching value to them, estimating effort to address them, and understanding their link to strategy

  • Identify most efficient manner to bridge the gap between the client’s current-state data & analytics environment and their desired future state


Snowplow Proof of Concept (POC)


  • Run Snowplow POC against client’s development architecture, collect customer data, and examine results in Amazon S3, Amazon Redshift, and Microsoft PowerBI


Digital Transformation


  • Uncover critical details of customer behavior never seen before, and assist client in using digital assets to maximize existing business returns and identify new opportunities

  • Demonstrate to client how to capture and store pertinent data, and then transform the data into successful marketing initiatives


KEYS TO SUCCESS


Through the Data & Analytics Roadmapping initiative, our client was able to:

  • Implement an Enterprise Data Warehouse to act as a single version of the truth

  • Form a Governance Committee that meets on a regular basis

  • Create an analytics team to share knowledge and best practices across the organization

  • Establish alignment and a data & analytics roadmap of recommendations for pilot-based initiatives

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