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Big Moves by Big Players Highlight Big Cloud Data Warehouse Trends

Last and early this week some of the largest players in the game of enterprise technologies made big moves in the form of either acquisitions or partnerships in an effort to effectively position themselves and their customers for the future. As data sources, complexity, and demands for insights continue to rise at a rapid pace there is one thing becoming crystal clear; cloud data warehouses are essential. Successful forward thinking organizations are demanding single sources of the truth that can handle and aggregate their data while boasting advanced analytic services on the fly for every user, all the time. These acquisitions and partnerships that have been established speak to certain parts in the link of data storage, accessibility, analysis, and visualization. 

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Snowflake on Google Cloud – Pandera Partners Unite

Snowflake, the data warehouse built for the cloud, announced at their Snowflake Summit on June 4th the expansion of their product offering to integrate with Google Cloud Platform. As data warehouses of the past strain under the increasing burden of extremely large and diverse data sets as well as storage and compute resources necessary to process and analyze the data within them, Snowlake attacks those problems head on. Through their cloud-built data warehouses, Snowflake, enables seamless and secure data integration throughout organizations across its platforms and multiple cloud environments. Modern Data Warehouse architecture built for the cloud provides access to near infinite, low-cost storage; improved scalability; the outsourcing of data warehousing management and security to cloud vendor; and the potential to personalize payment to reflect only the storage and computing resources actually used from day to day.

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Using AI to create personalized interactions at scale

In a world strife with buzz words it can become foggy as to what specific things mean; or furthermore, how they are utilized. AI has not escaped this barrage of marketing lingo over the years and thus become a grand concept rather than an actionable tactic for innovation. But, as with any tactic there must be an end goal in mind. For Retailers, using AI to create personalized interactions across all channels at scale is the most focused. By creating a 360 degree view of customers organizations can begin to understand purchasing motivators and use advanced data sciences to prescribe intelligent actions.

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Why and how to create a 360 degree view of your customer

To survive in this increasingly competitive business landscape companies must prioritize the experiences that their customers have when they interact with their brand second to none. One missed opportunity to create a personalized and enjoyable experience is often all that it takes to drive your customer towards your competition. With this said, how do you ensure that every interaction is personalized? Simply put – know your customer. While understanding customers seems like a simple concept, the execution of such an endeavor is a far cry from easy. In the following few paragraphs we will take a look at how to begin and why it is important to have a holistic 360 view of your customers and prospects.

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What are People Analytics?

In a technology focused society business leaders often forget to focus on their most important resource, their people. But, organizations do have the opportunity to innovate with the correct mindset and change the way their people work. By focusing on their people and empowering users to make better decisions through technology organizations can become more efficient and “Smart” in their every day operations.

In 2019, it is no secret that analytics can drastically improve the way organizations operate and make decisions. Less well known however is the fact that 49% of CEO’s are changing their talent strategies to utilize people analytics specifically and focus on how they can attract, retain, and engage their workforces more efficiently.

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Forbes sits down with Pandera CDO, Matthew Thomas

Pandera Systems Chief Data Officer, Matthew Thomas spoke with Kimberly Whitler of Forbes to explain why companies are turning to Chief Data Officers to generate more value out of data beyond the typical CIO and CMO roles.

Whitler (Forbes)Can you describe the CDO role?

Thomas: To truly appreciate the increasing need for the CDO’s role, one must first understand that 90 percent of the world’s data was created in the past two years alone. That’s a lot of information for a company to suddenly organize, secure and make sense of, let alone make a strategic decision on. The CDO emerged as organizations realized the need for someone to lead the management of all of this data as well as guide the organization in technology adoption and training necessary to storing and distributing it all.

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How to Turn the 3 Biggest BI Complaints Into Your 3 Biggest Differentiators

Pandera Systems sat down with Managing Director, Kevin Curley, to learn first hand how Self Service Business Intelligence can help organizations capitalize on before thought weaknesses and complaints of their analytics projects. According to Kevin, all businesses are in quite the transition period as it stands right now in 2018. Most have realized the value that analytics can bring and have made decisions to implement central Business Intelligence platforms.

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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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From “Gut Feeling” to Data Driven

How one client transformed their decision making process from “Gut Feeling” to Data Driven

 

This client is a Non-Profit Organization that inspires adults to learn, discover, and travel. Offering thousands of educational adventures in all 50 states and 150 countries around the world, this organization believes that true insight and understanding are still sparked by hands-on experience and open discussions that stimulate the senses, energize the body and challenge the mind.

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