We all have new goals and resolutions for 2017, and Pandera’s goal is to help you revitalize your analytical tools this year. If your BI implementation is not meeting expectations, we’re offering a series of free assessments to help you revive your analytics and business intelligence strategy.
We currently have several assessments to pick from, including:
- Infrastructure Assessment – We’ll determine if cloud-based infrastructure is right for you.
- BI Readiness Evaluation – We’ll help you understand issues affecting your BI performance.
- Upgrade Assessment – We’ll provide a step-by-step guide to navigate you through this often complex process.
- UI/UX Audit – We’ll evaluate usability, user experience, and visual design in your existing tools.
If a picture is worth a thousand words, one can imagine what the strategic use of good data visualization is worth in analytical toolsets. Data visualizations tell a more complete story in a dashboard than simply displaying raw data, so it’s important to use them effectively to support business objectives and data-driven decision making. Data visualizations should always simplify and clarify information, and be presented within the context of the user’s workflow, while avoiding confusing the viewer or leading to mistaken data interpretation.
Pandera’s Visual Sciences & Innovation team has released a whitepaper covering understanding the dashboard’s users, choosing the right visualization types, optimizing typography, and using colors strategically to tell a story through data. We’ve even included some examples of common dashboard design patterns to help you get started!
There is a phrase in my home that my teenagers hear all too often…”don’t be a sheep”. Personally, I fully support free-range kids and try to raise them to be capable of vast independent thought, revolutionary ideas and leading the next generation into a higher level of understanding. I want them to be unicorns reaching beyond their perceived limits and understand how extraordinary they are and not blindly follow the pack. Yet, their response is almost always “can I go hang out with my friends now?” along with a series of eye rolls.
It doesn’t matter if we are discussing children, ourselves, or the companies that employ us, we all want to be seen as unique, yet fit in with the pack. I am frequently asked “what do you see others doing in this space” or “how different are we than others you have worked with”. The reality is, each industry has very similar key performance metrics to measure operational, financial, and regulatory compliance. So if we are all measuring the same things, how do we turn ourselves from sheep into unicorns?
In the first article in the series, “Any Fool Can Know. The Point is to Understand” we discussed how utilizing an Information Centric Approach can improve decision making capabilities. Now we will discuss how information presentation design fosters insight.
Many companies’ BI solution design still feature a very hierarchical, structured information presentation, which can disrupt people’s natural analytical methodology and hinder their path to insight. Rethinking the display methodology, to both prioritize the information, and to emphasize issue identification, validation and investigation significantly improves overall usability, and retained knowledge. This need to focus is further magnified, as users increasingly access and consume this information on mobile devices.
A mature, fully functional BI system is able to apply analytics to transform large amounts of data into information, providing insight and spawning action. As a Retail Practice Advisor, I have had the opportunity to work with a number of companies at different points along their BI maturity lifecycle, and have seen many struggle with efficiently transforming information into knowledge.
Projects can fail in your organization more frequently than you would like to think or admit. There can be many factors leading to project failure, but there are a few recurring reasons in almost every project that leads to failure. These common pain points can originate from the start of a project and should be considered red flags.
Delivering actionable information to improve decision making capabilities, should be an implicit and fundamental goal of any Business Intelligence initiative. In my role as Retail Practice Advisor, I have seen many companies fall well short of this goal, largely due to their underlying approach.
Companies need to consider, and approach, BI as an enabling technology and seek to integrate all available data and develop the relevant analytics, unfettered by their existing reporting portfolio. Utilizing an information centric approach to guide the design, measurements and solution architecture enables quantum advances in business insight and analytic capabilities.
Pandera has been featured amongst CIO Review’s Most Promising CEM Solution Providers list for our expertise in helping organizations engineer solutions for success instead of building to specs, embedding the agility and responsiveness crucial for aligning objectives as the market redefines success.
Many organizations have thought about moving to the Cloud but quickly get overwhelmed with all the options and decide to either wait and deal with it later, or simply not make any changes at all. Pandera’s cloud management experts specialize in evaluating your current environment and migrating it quickly, cost effectively and choosing which Cloud solution best fits your environment.
The addition of “Derived Attributes” constitutes a massive upgrade to the v10 Visual Insight tool, but I had a hard time wrapping my head around it conceptually. It wasn’t until I ran into a couple of specific situations where I really started to understand some new possibilities that weren’t available in the old Visual Insight. Hopefully, this post helps you see a situation or two where derived attributes might save you some headache.
The healthcare system business and technology environment is pushing organizations to move beyond traditional, reactive and silo-based data management approaches to a managed – even predictive – approach that treats their clinical, operational and financial data as a strategic asset and uses it to create business value and advantage.
Traditionally, healthcare understood all too well what it took to manage assets such as treatment facilities, clinical staff, and patient relationships. However, when it comes to data, healthcare often fails to implement the responsibilities and accountabilities needed to manage it effectively. The result is deficiencies in data availability, accuracy, timeliness, protection and accessibility. Additionally, when employees aren’t certain who is responsible or where to go for data management, they begin to churn and become misdirected as to what is process related versus what is a technical deficit.