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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PLATFORM | CASE STUDY

Strategize and Implement Retail Analytics Migration and Integration

COMPANY OVERVIEW


Global retailer offering clothing, accessories, and personal care products. In business close to 40 years, with over 1,000 stores in North America and an online presence in more than 80 countries.

BUSINESS NEED


Outdated processes and siloed legacy solutions were hampering self-service analysis and fragmenting the company’s view of their data. IT leadership knew they were falling into technical debt and were trying to modernize and centralize. They needed an upgraded data and analytics ecosystem geared toward user experience and brought Ironside on as a partner.

SOLUTION


Ironside approached the engagement with one overarching principle in mind—namely, that a successful migration starts with targeted action. To that end, we worked with our client to:


Diagnose Issues & Maximize Resources


  • Install a new IBM Sterling Commerce engine to integrate with the company’s wider IBM Cognos BI reporting implementation—and determine which one should track fulfillment metrics

  • Balance the need for answers now with long-term analytics sustainability


Create a Centralized Data Source


  • Connect the new Sterling Commerce data source to the data warehouse, and build reports on it

  • Provide a timely feed of usable, actionable fulfillment information linked to other key metrics, allowing broader comparisons and new insights


Modernize the BI Environment


  • Perform a checkup on analytics system health, which led to the decision to upgrade the Cognos BI platform, migrate critical reports, and update cubes to support high-use data sets

  • Ensure a modern BI platform was ready to support the full enterprise view users would now have


Create New Assets & Enable Users


  • Leverage new updates to develop new data views and supply chain improvements

  • Implement a new end-to-end merchandise planning infrastructure, which required building a data mart containing relevant data warehouse information, dynamic cubes for key data sets, and reports on key metrics


KEYS TO SUCCESS


These projects delivered many benefits to the client by enabling then to:

  • Provide users with advanced functionality and improved user experience for faster, more dynamic BI results

  • Connect previously siloed data sources into a unified, accessible ecosystem allowing easy, self-service reporting

  • Design fulfillment and merchandise planning approaches to delivering analytics results quickly

  • Remove technical debt

About IBM

IBM is a leading cloud platform and cognitive solutions company. Leverage IBM’s Analytics portfolio of high-value products and solutions to turn the company you’re running today into the company you’re building for tomorrow.

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DATA | CASE STUDY

Modernize the Data Warehouse for Finance IT

COMPANY OVERVIEW


Leading investment advisory firm with more than 10,000 employees and greater than $1 billion in revenue—a major player in the financial services industry.

BUSINESS NEED


The client’s IT group struggled to keep their governance and planning efforts moving at the pace of business. They’d attempted to centralize their data sources and generate more actionable reporting, but their outdated infrastructure couldn’t meet increased information demands or integrate effectively with their BI reporting. To solve these issues, the client was tasked with moving their data warehouse to a more modern solution.

SOLUTION


The Ironside Information Management team worked hand-in-hand with the client’s database engineers to move the warehousing infrastructure out of the current obsolete environment to a more modern data warehouse. Our solution required us to:


Develop a Migration Plan


  • Outline a plan that addressed pain points occurring between the data warehouse and the Cognos BI reporting layer, increased query efficiency, and enabled timely analytics

  • Include recommendations for storing historical point-in-time data for more accurate referencing of past events


Document and Test


  • Document existing warehouse logic, including extracts, transformations and schedules

  • Serve as the solution architect for a proof of concept of the data warehouse redesign

  • Test data handling and report output using POC system


Consolidate


  • Bring together approximately 20 tables from an array of data sources, including TM1, A-Track, Remedy, Oracle GL, and Excel, into an IBM PureData for Analytics (Netezza) implementation capable of meeting and exceeding client requirements


Reengineer


  • Reengineer both the ETL processes used to move and transform all the different information streams and the reporting layer making that information available for analysis


KEYS TO SUCCESS


The modernizing of the data warehouse has enabled the client to:

  • Improve ease of use and performance in Cognos reporting

  • Enable time comparison reporting, such as evaluating last month’s data against today’s data

  • Increase performance approximately 60 times faster than with the previous environment—reports that used to take two minutes to run are now taking two seconds

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background_attachment='scroll' background_position='top left' background_repeat='no-repeat' custom_class='' av_uid='av-3ua41ek'] [av_masonry_entries link='portfolio_entries,1122' 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-3inv0xo' custom_class=''] [/av_tab_sub_section][av_tab_sub_section tab_title='Data' 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-2x2nruk'] [av_masonry_entries 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' 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-1satp18' custom_class=''] [/av_tab_sub_section][av_tab_sub_section tab_title='Platform' 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-14gy7h8'] [av_masonry_entries link='portfolio_entries,1125' 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-r6kews' custom_class=''] [/av_tab_sub_section][/av_tab_section] [av_section min_height='' min_height_px='500px' padding='default' shadow='no-border-styling' bottom_border='no-border-styling' bottom_border_diagonal_color='#333333' bottom_border_diagonal_direction='' bottom_border_style='' custom_arrow_bg='' id='' color='main_color' custom_bg='' src='https://www.ironsidegroup.com/wp-content/uploads/2018/03/yellow-rudder-1500x630.png' attachment='16316' attachment_size='featured_large' attach='parallax' position='center center' repeat='no-repeat' video='' video_ratio='16:9' overlay_opacity='0.5' overlay_color='' overlay_pattern='' overlay_custom_pattern='' av_element_hidden_in_editor='0' custom_class='' av_uid='av-3e8pueh'] [av_one_full first min_height='' vertical_alignment='av-align-top' space='' margin='0px' margin_sync='true' padding='50px,0px,0px,0px' border='' 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

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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