Can you tell the story behind all your data.
There once was a time when businesses had no choice but to opt out of BI software solutions. Sky-high costs and the need to retain vast teams of information technology and data analysis professionals kept the tool just outside of reach for many organizations.
These days, with organizations mining even the most remote data points to gain an edge over the competition, business intelligence is no longer optional. But, thankfully, so are complicated software systems that force you to devote tons of time to cleaning and refining data.
Klipfolio’s self service BI reporting tools gets you up and running with analyzing performance and measuring results that will allow you to make better business decisions in no time – all without the need to expand your IT department or hire a team of data professionals.
Klipfolio is the must-have solution for flexible – yet powerful business intelligence – at an affordable price.
The advantages of using Klipfolio for Self-Service BI
Import your data
Pull your data together using out-of-the-box, hassle-free connectors for hundreds of data sources, including spreadsheets, files, databases, and web services applications OR build your own connectors to whatever custom data sources you may have.Browse the 100+ services you can connect to
Deploy interactive data visualizations for your viewers
Interact directly with your data using visual data discovery. Instantly spot trends and figure out how your business is performing. Compare this month to last month or the same period last year with a single click. Use filters, segments and automatic trend lines.
Build custom data visualizations
Drag-and-drop data visualizations from the palette to start assembling your custom dashboard. Choose from standard data visualizations like charts, bullet charts, and scatter plots. Or get creative and inject custom HTML into your dashboard. The flexibility is yours to build more advanced ways to showcase your data the way you need.
Use context menus to apply common reporting actions like grouping, filtering, aggregating, and sorting.
Do you want to go deeper with your data? We provide the tools you need to execute complex formulas to solve challenging data problems.
The benefit of self service business intelligence dashboards
Business intelligence dashboards provide at-a-glance updates to real-time insights on how your business is performing on your phone, computer screen – even a TV datawall in your office. It takes your data and transforms it into charts, graphs and other visualizations that can then be put to use in helping you make key business decisions.
It tells a story
Numbers on a spreadsheet don't tell a story. Dashboards and reports which show how you are performing against KPIs and other metrics do, though.
A company that exceeds its sales targets by 200% in the first quarter suggests a sales department that’s soaring. A company that only achieved 50% of its desired marketing qualified leads (MQLs) implies a marketing department that may not be performing up to snuff.
The exact conclusion is, as with all things, up to who is telling the story and how they choose to view the numbers. But the point is this: the sooner you know about how you are performing the sooner you can get to telling a story about it.
It provides a quick update on key metrics
Business intelligence dashboards aren’t that different from another dashboard with which we’re all familiar: The one on our car.
Think about it. Your car’s dashboard gives you a quick update on how the key elements of your car are performing. It’s not everything related to your car. That would get confusing and probably be pretty dangerous.
So it is with your business. Looking at raw data is the equivalent of calculating your car’s speed with a stopwatch and an odometer.
It puts everyone on the same page
Dashboards are ideal because they are simple. Anyone with a reasonable understanding of what your business does (read: every single person in your organization) should be able to glance at your dashboard and get a quick idea of how the company is performing.
No more after-the-fact disagreements about which metrics are most important or misinterpretations of the raw data. Everyone is on the same page about how the company is performing.
How business intelligence has changed
BI software wasn’t always as pervasive as it is today.
The big issue – surprise! – was BI’s roots in more rudimentary technology. The lack of versatility and flexibility inherent in less advanced software forced many organizations to hire teams of data and information technology specialists who could harvest and interpret data before pushing it on to decision-makers.
The resulting dynamic created several problems.
It took time for specialists to clean and process data so that it could be presented to executives. This loss of agility acted as a drag on business decisions. Executives were always looking at objects that looked smaller and smaller as they disappeared in the rear-view mirror. Every time someone wanted to look at a new metric or learn how the data was produced, they would need to go to someone in IT to get their assistance with implementation.
A lack of power for decision-makers:
The need to pre-package data meant the ability to decide what was presented and in what format resided with specialists – not the people in the organization who understood what the data was being used for. If someone wanted to view a new metric, IT would have to dive back into the data, which increased the time lag. It also meant that decision-makers frequently didn’t even know what was and wasn’t possible using the available tools. Instead they had to make do with pre-packaged reports that suffered from a lack of versatility.
An expensive solution:
Employing and managing a team of specialists to deal with the swaths of data needed for proper decision-making created a high barrier to entry for many organizations. The cost of employing these teams put BI analytics outside the reach of most small- and medium-sized businesses. This is to say nothing of the costs for some of the more complicated and involved BI tools.
These were all undesirable outcomes. But for a long time those hoping to leverage BI tools to make better business decisions had no choice but to deal with them. Until – you guessed it – new technology changed everything.
The rise of self service business intelligence
Over the last decade or so a new breed of BI software company emerged in response to the problems with traditional BI tools. Self service business intelligence allowed executives, managers and other team members charged with mapping out strategy to take control of their data.
Out were expensive programs that required extensive analysis from a large team of data professionals. In were tools that made it simple to import data and build reports that made sense to the end user.
The power to manipulate and work with data, all of a sudden, rested where it belonged all along: With business decision-makers at every level of the organization.
Today self service BI reporting tools means employees who don’t have an expansive background in IT or data analytics are empowered to segment, import and refine data themselves. Decision-makers aren’t confined to the data and metrics that others choose to provide for them. Now, they have everything they need to explore how their data can help achieve the ultimate goal: making better data-driven business decisions.
Where does self-service BI tools usually fail?
Self service BI reporting tools aren’t without their own problems. In most cases, they fail at one of Three stages.
If your BI software makes it difficult to pull your data (real-time, schedule, email attachment supported) from any data source including raw sources (databases, excel spreadsheets, single data entry points), it’s not doing its job.
If your BI tools doesn't support advance calculations, building new calculated tables and manipulating the data in non-custom ways, its failing you as every business is unique in some important way that needs to be measured.
Importing your data is one thing. Actually using it to gather insights? A whole other matter entirely. If your tool requires you to have a degree in graphic design it’s not really doing its job.
Integrate with other BI tools
We often get asked how does Klipfolio compare to traditional and standard BI vendors. Actually, Klipfolio is a great sidekick for some of the leading BI tools on the market.
It doesn’t matter if you use Tableau, Domo, Qlik, Looker, Microsoft PowerBI or any other traditional BI tools, Klipfolio will make it easier to share, publish and communicate the insights they hold with the rest of your organization to help you nurture a data-driven decision making culture.
Klipfolio doesn't replace these traditional enterprise tools for your data mining or data warehouse needs, instead you can easily add Klipfolio into your BI architecture to help make data analysis and visualization more self-service to all your stakeholders to make reporting easier and save you time on custom data model creation.
So Klipfolio is really a unique enterprise-level BI tool with leading functionality and flexibility at a very affordable price as our mission is to help enable millions of everyday people to succeed with data. So how can we help you on your BI analytics journey?
What is business intelligence
Business intelligence solves a problem that every business, sooner or later, struggles with: The need to transform the glut of raw information that flows through your organization – revenue numbers, inventory, payroll – into insights that help you make better decisions.
It comes in a variety of forms, but the most common is a software tool that allows you to quickly identify how your organization is performing against key targets and unearth observations that would otherwise go unnoticed.
Consider this example from the hallway of business horrors: The dreaded Excel data spreadsheet. Excel is great for a lot of things, but quickly yielding pertinent and up-to-date insights usually isn’t one of them.
Instead you’re more likely to find reams and reams of numbers. If you’re anyone other than a seasoned data professional, it probably took some time to make sense of it. Using it to make key business decisions? Good luck.
Raw data is important, but it can only take you so far. And once it starts flagging a little bit, BI is there to pick up the baton. It helps push your data over the finish line by quickly showing how you are performing so you can quickly and intelligently use it to make decisions that make your business better.
If you’re looking to map out where your business stands and the way forward on how to improve, business intelligence is a must-have.