Paradigm Blog Posts

Discover the latest insights, updates, and innovations from Paradigm Technology across industries and solutions.
Digital Product Engineering: The Anatomy of Digital Transformation in IT

Digital Product Engineering: The Anatomy of Digital Transformation in IT

By Varada Iyengar, Senior Director of Strategic Solutions Rapid advances in digital technologies are enabling disruptive and exponential business models that continue to create existential threats for Fortune 1000 companies. The IT function is caught in the middle of this perfect storm and is grappling with keeping the lights on and meeting the demands of breakneck digital innovation.

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Employee Spotlight: Deniese Reinhardt

Employee Spotlight: Deniese Reinhardt

Meet Deniese Reinhardt – PMI Superstar! Deniese is one of Paradigm’s locally based Lead Project Managers. Paradigm would like to recognize her for her amazing work in and outside of the organization. Namely, her volunteer-based involvement in the Project Management Institute’s Phoenix Chapter.

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Yes, Employee Branding Really Does Affect the Recruiting Process!

Yes, Employee Branding Really Does Affect the Recruiting Process!

By Scott Murray, Lead Talent Acquisition Manager In the world of recruiting, being honest and transparent is the best path to success. While the negative aspects of a company can try to be hidden, the individuals recruited will eventually find out the truth. Money might be made initially, but short-term wins will end up hurting long-term revenue growth. The biggest long-term impact is the damage done to a company’s reputation. When making a decision on where to apply for a job, 84% of job seekers say the reputation of a company as an employer is important (source).

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Big Bang or Incremental, What’s the Best Way to Build a Data Lake?

Big Bang or Incremental, What’s the Best Way to Build a Data Lake?

By Cary Moore, Senior Director of Data Science No cloud-driven data lake yet? Don’t worry… Avoid the stress and follow this guideline. In 2019, it still seems a bit odd to be discussing the merits of a data lake. However, many organizations have been slow to adopt the cloud, and thus data lake implementation remains elusive – a distant strategy – with benefits yet to be realized. Many of my customers still have decision paralysis as they sort through the hype, reality, pros, cons, vendors, technology options, architecture, security, privacy, business cases, increasingly precious funding, and dizzying array of other endless concerns. The common theme of anxiety seems to be “deploy ‘big bang’ or build incrementally over time?”

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