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        Flexibility is the biggest selling point that we have over our larger rivals. We give our clients the freedom needed to thrive in today’s fast-paced business world, organisations say to us that they often see higher quality work from independent consultants like us, this reason is the primary motivator when choosing us over a big firm. This means that we have the same skills and experience as the big firms, with added freedom and flexibility to let us focus and resolve client requirements.

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        Will AI replace jobs

        The AI language model, has to be viewed as the internet in the 1990s and the mobile in the 2000s but I can tell you that AI has the potential to automate some of the work that is currently done by people. It's crucial to remember nevertheless that not all jobs are equally vulnerable to automation. Most jobs will have it as an assistant.

        There are some jobs that are less likely to be mechanised in the near future, such as those that demand creativity, critical thinking, emotional intelligence, and interpersonal skills.Yet, positions that require manual work, data processing, and repetitive operations are more likely to be mechanised.

        It's also crucial to remember that while AI can automate some tasks, it cannot take the place of human abilities and traits like empathy, adaptability, and decision-making that are crucial in many professions. Jobs in complex decision-making, problem-solving, and communication skills are required for these positions, which are challenging for computers to mimic and wont be able to be automated. For most the answer is NO, AI wont replace your job.

        2023 - 5 trends with financial institutions

         

        In 2023, if i had a crystal ball, I believe the following trends will become main themes within north american financial institutions:

        1. Increase mobile banking capabilities: Banks should continue to invest in technologies to improve the customer experience on mobile devices. This could include new payment systems, improved security measures and customised experiences for each customer.

        2. Develop AI-driven solutions: Banks can use artificial intelligence to automate mundane tasks and provide more personalised customer service. AI can also be used to detect fraud, improve customer experience, and even predict customer behaviour.

        3. Leverage blockchain technology: Blockchain technology can help banks reduce costs, increase efficiency, and improve security. Banks can use it to develop new services, such as digital asset management, and establish distributed networks to streamline processes.

        4. Introduce open banking: Open banking allows customers to securely share their financial data with third-party providers, such as financial advisors, lenders, and insurers. Banks should look to partner with these organisations to provide more personalised services to their customers.

        5. Utilise digital currencies: Digital currencies are becoming increasingly popular, and banks should look to leverage this technology to offer a more convenient way to send and receive payments. Banks should also look to develop their own digital currencies, and explore the potential of using them to facilitate international payments.

        This will be my last post of the year, Merry Christmas to all and wish everyone a 2023 filled with happiness, health and success.

        7 habits to transform your life

        On this friday evening, sharing some habits that have helped me improve in 2022:

        1.Get up the same time every day

        2.Set realistic goals for the day

        3. No caffeine , coffee or tea past lunch

        4.Plan by writing things with pen and paper

        5.Evening brain dump use your phone voice recorder (Time box it to 1-2 min)

        6. Challenge yourself to do something new 

        7.Time block your activites

         

         

      • What we offer

        Business & Technology Consulting

        We offer clients specialised consulting in areas that we deeply understand. Our services include:

        • - Skills To Envision, Design And Develop Enterprise Apps
        • - Talent For SaaS/PaaS/IaaS In The Cloud
        • - API Architecture
        • - Data Science Talent
        • - ALM deployments – Agile/Devops
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  • Why implement a centralized CRM package - Main Pitfall & 5 tips

Why implement a centralized CRM package - Main Pitfall & 5 tips

by Alex Antonatos
on 19 October 2018

In my view, the top 10 reasons most companies move towards a centralized CRM (customer relationship management) system

  1. Move to get a more complete view of customers
  2. Automate previously manual and repetitive processes
  3. Make business processes consistent across the company
  4. Improve the quality and velocity of data.  Enter once.  Use many times.
  5. Replace of various systems/databases by one system
  6. Improve sales force efficiency, forecasting
  7. Deploying CRM enables corporations to become more customer-centric with their business processes
  8. Better user access to data and instant mobile analytical tools
  9. Improve communication among groups within sales and marketing organizations
  10. Leverages best practices throughout the organization 

A CRM system provides a one face to the customer and a 360 degree view of sales and opportunities, by establishing the reflex of having a common customer ID across data dimensions, you can provide visibility to all of the customer-related activity across the enterprise.

Tip #1 Dont focus on functional requirements

When focusing on functional requirements take into account all Tier 1 CRM, share the same functionalities, provide a better scoring to the vendor that is already deployed internally, for example if your company is more Oracle centric select Oracle if its SAP centric select SAP, this will help reduce the risks related to integration. 

Tip #2 Biggest risk will always be the data migration

crmdatamigration

          In a CRM project, put a focus on the data migration, bad data is the number 1 reason for project failures and overruns: 

     Main Pitfalls of Converting Bad Data

•       Inaccurate report metrics

•       Bad information wastes users time and effort

•       Marketing wastes money and effort pursuing bad prospects

•       Understanding your “customer” is impossible

•       IT wastes time sifting through information and trying to make sense of it

•       Operations has difficulty reconciling data against financial and other backend information

•       User get frustrated, you lose valuable buy-in and adoption

Follow a structured approach and limit your initial scope of your data migration to converting:

 Accounts, Contacts, Addresses, Opportunity, Products, Notes, Attachments and Territories.

   Tip # 4 Data Cleansed then Loaded into CRM

   Define key systems where data will be cleansed and then convert to CRM

   Do the same with the transactional data, that will be loaded into CRM and which loaded into the BI for analytics

Tip#5 Setup CRM Center of Excellence 

      Provide one level 3 support group for all user queries, incidents, and changes requested.   Across all business unit lines.
     With established partnership for software break & fix, establish business-oriented service level agreements for availability, time to respond, and bandwidth/capacity for changes.

      I would say that the Achilles heel to all IT systems especially in CRM systems is user-friendliness. If in doubt, use the KISS method'Keep It Simple Stupid'. Do you have 2 ways you could do something? Always work with the simpler of the two. It's much easier to add a bit of detail rather than trying to take away from an overly complicated process.

 
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