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4 Tips for Using Data to Tell Great Stories

Every company has data and all data has a story to tell. There is an abundance of insight to be found by analyzing and portraying data in the correct fashion. At times, this can be tricky though. Telling stories the correct way is essential to formulating a single version of the truth and actually drive productivity forward. Articulating insights with context and granularity is easier said than done. Here are 5 tips on how to use your data to tell great stories.

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Pandera Systems Expands West

Orlando FL – Pandera Systems, a global provider of information delivery solutions and analytics innovation consulting company, has announced its West Coast expansion to the Western United States. The expansion will be led by Director of West Coast Sales and Business Development, Mike Morrow, located in Seattle, WA. Beyond his 30+ years of experience in software and service sales, Mike has extensive experience working with and alongside executives from top companies in the Western 13 United States. Mike’s expertise and network paired with Pandera’s innovative mindset, breadth of expertise, and rapid growth creates a perfect storm of opportunity out West.

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Snowflake for Data Science

Anyone working on a cloud-friendly data science, data engineering, or data warehousing team has surely heard the name Snowflake come up over the past couple of years.

For those that haven’t, Snowflake is a relatively new database solution that is majorly innovative in some ways and yet simultaneously familiar in the ways that matter.

The product is essentially a SaaS database built with cloud-native features that we 21st century data enthusiasts (fine… nerds) have come to expect from off-the-shelf products. Some of these features include:

  • the ability to quickly and automatically scale computing power — responding to highly variable workloads in a way that enables high velocity data to flow in, unimpeded by ingestion bottlenecks
  • the separation of storage and compute, both technically and on billing statements — making cold data retention much more cost-effective
  • the ability to segregate and securely share chunks of data — reducing the amount of maintenance and management that data ops teams need to invest in shared data assets
  • automatic query and data optimization — this one speaks for itself!

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Blueprint for Building an MVP Team

The “technical co-founder” model is dead, and building awesome tech isn’t a one-person job anymore. Below is a practical blueprint for building a minimal product team for your venture.

Have you ever heard the following conversation?

Q: “What’s your plan to build your app?”
A: “I’ve got a guy!”
I have. It’s too common and it haunts start-ups and large companies alike, echoing through their later efforts to refactor, rebuild, or redesign their product because of early mistakes made while launching an MVP.

That fateful conversation is also representative of a common oversimplification of building software products and a reckless commodification of the talent that builds them; in other words, to think that some guy (or gal) can build great technology for your company, solo, is simply unrealistic these days. Tech and design have advanced to levels of complexity and nuance beyond what one person can handle. The overly-romanticized “technical co-founder” of tech’s youth is gone and done, and we need a better way to think about building product teams.

To put product development strategy into a more rational lens — and to stop equating its difficulty to that of assembling IKEA furniture — we created the MVPT, a functional blueprint for building a lean software development team (T) that can produce an exceptional MVP.

MVP + T = MVPT. Get it? Nevermind, let’s move on…

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HashiCorp: Strength In Numbers

How the Hashistack’s Modularity Is Its Greatest Asset

If you’ve spent any amount of time in the devops space, you’ve probably seen the name HashiCorp come up. Maybe you needed something for service discovery and found Consul. Maybe you were sick of fighting with CloudFormation and gave Terraform a try. Maybe someone finally convinced you to stop storing your secrets in plaintext and Vault jumped to the top of your search results.

What you may not have realized is that these individual solutions form a larger suite, sometimes referred to as the “Hashistack”. Together, they form a full platform for managing your data center and operating your services. All of these have free, open source versions, and four of them (Terraform, Consul, Vault, and Nomad) have enterprise versions with enhanced features. But the fact that these services work so well separately is actually one of the largest strengths of the HashiCorp suite.

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Top 7 Essentials of a Successful Business Intelligence Strategy

In 2018 it is pretty standard that all companies have at least some sort of Business Intelligence Initiatives ongoing. But, this doesn’t imply that all add value to their organizations through data-driven insights. With that said, there are key things to be aware of when on the never-ending journey that is Business Intelligence. Here are our top 7 essentials of a successful business intelligence strategy.

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Pandera to Bring the Southern Data Science Conference to Orlando

Orlando FL – Pandera Systems, a global provider of information delivery solutions and analytics innovation consulting company has announced its partnership with the Southern Data Science Conference. This partnership will bring a robust roster to Orlando, Florida on October 17th and 18th for two days of cutting-edge discussions, workshops and networking at the Renaissance Orlando at Seaworld. This innovative, single track conference has drawn attention from around the World and will boast speakers from both top data science companies, like Google, Facebook, Microsoft, etc., and top research institutions, like Allen Institute for Artificial Intelligence, UCF, and more. These speakers have been selected based upon their outstanding contributions to the data science community and we are ecstatic to bring them all under one roof. Beyond that, we are extremely fortunate to have such great community support from the City of Orlando, University of Central Florida, South Big Data Hub, and Orlando Tech and Beer.

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Magento & Adobe Aim For True Plug & Play Commerce Platform.

SAN JOSE, Calif.– Adobe (Nasdaq:ADBE) announced a few weeks back that it has entered into a definitive agreement to acquire Magento Commerce for $1.68 billion. This acquisition seems to follow a growing pattern where large technology companies who focus on enterprise clients acquire eCommerce platforms. What does this mean? Simply put, disparate solutions won’t cut it in a sophisticated and competitive marketplace and the big players know it.

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From Dead End to Data Analytics

Boston, MA – My name is Brian O’Connor, and a year ago I made the decision to change my career and enter the innovative world of Data Analytics. Everyone wants to provide value and feel useful. Unfortunately, in your typical banking role that is not always the case. Seeing no growth path and lacking the feel of bringing actual value to my clients, I made the decision to enter the Level Education boot camp. Since then, I have been brought on the Pandera Systems team as a Business Intelligence Analyst and couldn’t be happier with where my career is heading (not to mention the value I am providing to my clients). I was honored to give a speech this past Friday at a Boston WeWork to a group of potential students interested in making the leap into the data analytics space.

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Challenges of Creating an Effective Customer Journey

Challenges of Creating an Effective Customer Journey

Providing marketing ROI through conversions and, ultimately, customizing each user journey at scale has been a constant challenge for years. Customers are utilizing multiple channels each day, adding extra touch points and therefore data that needs to be analyzed to architect an effective marketing strategy. Fortunately, planning and proving marketing results has never been easier than it is today. By analyzing and weaving together touch points in a deliberate manner, marketing ROI, and more importantly, conversions, are finally within reach.  Through journey analytics, companies are capturing and acting on “Micro-Moments” that were previously unseen in a proactive and time-sensitive fashion – adding millions to their bottom lines. With all this value, why aren’t all companies doing it? Simple – it’s easier said than done. Here are the top challenges businesses are faced with when trying to architect effective, data-driven customer journeys at scale:

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