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Looking for Resources to Specifically Prepare for BCG Digital/TA Interviews?

I am pursuing an experienced hire track within the digital/TA practice at BCG. A consultant at my target office said the cases almost always are digital (such as typical costs at a FS institution). I am unsure where to find cases focused on Digital for practice. Would appreciate any expert advice :)

I am pursuing an experienced hire track within the digital/TA practice at BCG. A consultant at my target office said the cases almost always are digital (such as typical costs at a FS institution). I am unsure where to find cases focused on Digital for practice. Would appreciate any expert advice :)

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Hi,

I have not seen any digital cases online. But here is a list of potential topics you need to know. It is a full list and looks scary but they test a lot of these concepts depending on the particular role:

  • Basics (computational thinking, sorting, data structures) - they never ask directly but understanding will help with the other topics)
  • Database design (Centralized vs decentralized, sharding, factors influencing the number of replicas - the volume of data, future scale, growth, data structure, desired speed, etc)
  • Technology stacks (front, back,api, database, etc)
  • Cloud (cloud vs own servers pro and cons, virtual machines, containerization, uptime % SLAs, load balancing, etc)
  • Security (encryption basics, public keys, password change policy, cloud security and encryption on your computer)
  • Agile and development (Agile principles, Environments: Developing, testing, production, Native apps / web apps / hybrid apps, etc)
  • M&A and IT (Will it be one system or two systems? Is it "Adopt and go" approach or we take the best of both systems and create a new one? Integrate now, innovate later? Or Innovate now, when you have time?)
  • IT strategy and Digital transformation (Similar to M&A)
  • IoT (Mainly the use of IoT in operations - Process steps completion, measuring temperature, maintenance measurements, other measurements, predicative algorithms, etc)

There will be a mix of regular and IT cases. For the regular cases on preplounge will be most helpful. For the IT cases, I recommend reading the articles of the consulting companies about these topics on their websites (Hundreds of them if you google by key words "agile", "Digital", at McKinsey, BCG or Accenture)

Good luck!

Hi,

I have not seen any digital cases online. But here is a list of potential topics you need to know. It is a full list and looks scary but they test a lot of these concepts depending on the particular role:

  • Basics (computational thinking, sorting, data structures) - they never ask directly but understanding will help with the other topics)
  • Database design (Centralized vs decentralized, sharding, factors influencing the number of replicas - the volume of data, future scale, growth, data structure, desired speed, etc)
  • Technology stacks (front, back,api, database, etc)
  • Cloud (cloud vs own servers pro and cons, virtual machines, containerization, uptime % SLAs, load balancing, etc)
  • Security (encryption basics, public keys, password change policy, cloud security and encryption on your computer)
  • Agile and development (Agile principles, Environments: Developing, testing, production, Native apps / web apps / hybrid apps, etc)
  • M&A and IT (Will it be one system or two systems? Is it "Adopt and go" approach or we take the best of both systems and create a new one? Integrate now, innovate later? Or Innovate now, when you have time?)
  • IT strategy and Digital transformation (Similar to M&A)
  • IoT (Mainly the use of IoT in operations - Process steps completion, measuring temperature, maintenance measurements, other measurements, predicative algorithms, etc)

There will be a mix of regular and IT cases. For the regular cases on preplounge will be most helpful. For the IT cases, I recommend reading the articles of the consulting companies about these topics on their websites (Hundreds of them if you google by key words "agile", "Digital", at McKinsey, BCG or Accenture)

Good luck!

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