Insights

PartzInsight’s AI Improves User Experience for Aftermarket Auto Parts

The Aftermarket is e-Commerce Recently, Hedges and Company reported that auto parts sales directly influenced by digital and e-commerce will increase to $152 billion by 2021.  Modern e-commerce is more than just having a storefront is all about search.  Industry research is suggesting that there are at least 70 million aftermarket product searches every month with Google.  A majority of this activity for aftermarket auto parts is business to business (B2B).  Google maybe helps with the first step in acquiring a customer, visibility of your storefront, or marketplace.  The real […]

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What Next? From Search to an Insight Engine

Insight Engines are emergent leading you to the next best action. Moving on from Enterprise Search to Insight Engines Enterprise search is a term used to describe a mature technology sector that focuses on indexing content from many business knowledge repositories (File Shares, Salesforce, ServiceNow) and making it securely retrievable within an organization.  There have been many technology vendors ranging from large to niche, all offering to improve the visibility of business data (products, documents, knowledge) to help increase revenue, reduce cost and mitigate risk. Historically these solutions are known

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Insight Engines adoption drives services growth

A quick update: Insight Engines propel MC+A’s > 100% YOY Services Growth. Starting in 2016, MC+A began the transition from the Google Search Appliance to the next generation of search-related technologies.  Gartner classified this combination of search ingestion and machine learning technologies as “Insight Engines” in their Magic Quadrant report as a search platform that provides users a “more natural access to information for knowledge workers and other constituents in ways that enterprise search has not.”   This natural access is enabled by a variety of search-related technologies, including machine learning

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GSA Replacement Pro Tip: You Should be Mapping Fields

Why Field Mapping? The Google Search Appliance was effectively schemaless and required no mapping of content source fields and metadata to an internal schema. The schema-less design is in complete contrast to every other search index. Through the many migrations that we’ve performed in the past year, we’ve noticed an emergent pattern where our customers have difficulty relating to this. Isn’t our new system is schemaless? Not true, even Google’s Big Table is not “schemaless.” If you look at Google’s product documentation for Big Table, they describe their product as

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How to Innovate with Search. Habits of Successful Teams

Use an innovation playbook to improve business outcomes. Many CIOs and IT leaders are feeling the pressure to build the innovative projects and ideas using emerging technology like chatbots, virtual assistants, AI, and more, but they’re at a loss on how to get started and how to use search as a secret weapon to build a foundation for innovation. Project managers and IT leaders who are having to sunset their Google Search Appliance can see it as an opportunity to build that foundation. Those who are still debating if a

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Why We Built a Bridge for the Google Search Appliance Replacement

Lift and Shift as a method for GSA replacement In the two years since the announcement of the Google Search Appliance end of life and sales wind down, we have seen three trends arise from prospects and customers that we talk to that are consistent across industry verticals and business units: The desired to delay costs and risk associated with the technological transformation in migrating to a replacement solution Connectivity to content systems is a critical decision in scoring a specific platform to replace their GSA Deploying new technology infrastructure

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MC+A Announces Connector Bridge to reduce risk with GSA Migrations

This new solution allows GSA customers to reduce risk in Google Search Appliance replacement projects CHICAGO, IL – [Feburary 8, 2018] – Michael Cizmar + Associates, LTD (MC+A) today is pleased to announce the release of its Connector Bridge software solution.  The MC+A Connector Bridge allows Google Search Appliance (GSA) customers to accelerate their transition on to a new technology platform by allowing them to use existing connector infrastructure. The MC+A Connector Bridge enables customers to transition their currently deployed content connectors from sending content to the GSA and redirect

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Attivio & MC+A Announce Partnership to Deliver Cognitive Search

Strategic partnership formed to maximize customer’s data assets with cognitive search solutions NEWTON, MA. and CHICAGO, IL – [January 16, 2018] – Attivio, the leading cognitive search and insight platform company, and MC+A, a Chicago-based search technology innovator and systems integrator, today announced a new partnership. MC+A will resell Attivio’s platform, seamlessly integrate their enterprise-grade connectors into it, and provide SI services in the US market. “Partnering with MC+A extends our ability to address organizations’ needs for making all information available to employees and customers at the moment they need

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Replacing Google Search Appliance – What Every Customer Needs to Know

MC+A welcomes Daniel Cadoch from our partner Coveo for a guest blog post. By: Daniel Cadoch (@DanCadoch) Replacing your Google Search Appliance does not need to induce panic. Yes, we’re less than 18 months away from its sunsetting – but there is still time to identify your options, select your replacement and deploy it to your organization. You just need to work quickly and efficiently in your selection process. To make it easier, after consulting and speaking with companies in similar positions, I have a few recommendations for IT leaders

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CMS Search is not an Insight Engine

Taxonomies are great, but your users do not want to browse. A core feature of any digital experience is “search.” Users find the specific content they are looking for quickly. Elevating search to an insight engine yield significant benefits and measurable results. Unfortunately, the search feature embedded in Content Management System (CMS) software packages is not an insight engine and marketers and customers often overestimate their CMS capabilities to provide relevancy. Remember, the purpose of the content you are creating and publishing in your CMS serves a purpose beyond render

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