The period of staggering technology advancement in the 2010s changed everything. In a single decade, social media, search, smartphones, 4G, Cloud computing, AI and big data, and user interface design sped through ‘hype cycles’ and went mainstream. These technologies profoundly altered people’s expectations of software’s UX, speed, reliability, and personalization.
Prior to that decade, enterprise software and transformation programmes had gained an image problem. That was largely because ‘Transformation’ had become a euphemism for asking employees to change the way they worked to adapt to expensive, large-scale enterprise software rollouts. The Boomers and Gen-Xers who dominated the workforce rarely adopted these systems to the extent that their organisations hoped – in most cases, it was ‘just enough’. I’m in no way blaming big enterprise software companies for designing systems the way they did. The vision was…
Those of us preaching the power of data – on LinkedIn, on stage at keynotes, and at yearly budgeting meetings – prescribe data as the solution to all problems. However, we all know the execution of a powerful analytics strategy is often more challenging than anticipated. These challenges are especially severe in higher education, even before operating in the midst of a global pandemic and looming economic recession. Now, the hurdles seem larger than ever. Budgets are being significantly reduced or frozen, analytics teams are being defunded and paralyzed in the face of uncertainty. Yet, the greatest action universities can take today, one thing they can control, is to double down on data. Those who choose to do will evolve and emerge stronger. Those who don’t, may not survive.
Adoption is essential
Higher education has always been slow to adopt new technology, which I think is understandable. Universities are large and complex. They have many layers of leadership and often rely on external funding. It’s this complexity that makes data such a valuable asset for university decision making, and in the past decade, major strides have been made to introduce data & analytics tools across departments. The results of these changes, however, have been slow to surface.
One of the reasons that data investments are seeing less than stellar returns, is a product of the university’s organization and structure. Many groups operate independently from one another – especially when it comes to technology purchasing decisions – and this has resulted in a variety of siloed tools and technologies.
However, efforts have been made to create university-wide analytics councils and information management teams, but working backwards to resolve the existing incompatibility of different technologies is still difficult.
Now as we start to see valuable information being generated by many different departments, having an awareness or sight of key information that could be a saving grace to universities in crisis-mode is critical. However accessing, sharing, and acting on this information quickly is still next to impossible.
Everything in one place
Pomona College Branded as ‘ConnectTo’, Pomona’s advancement department used Digital Hive and created a single, unified information portal bringing together IBM Cognos, Microsoft Power BI, Tableau, and SSRS. Last year, Pomona College won a National Silver CASE Award with ‘ConnectTo’. Now, users have one place to go to easily find reports, dashboards, documents, training materials and more.
This has resulted in greater efficiency and productivity across departments, an increase in adoption (more than quadrupled), a reduction in technology management costs, and has directly impacted decision making in regards to fundraising campaigns.
While actively investing in new technology projects during a period of uncertainty may seem risky, the greatest risk is in retreating to the status quo. In all areas of our society, both in business and our personal lives, we have experienced a steady increase in digital transformation.
The COVID-19 pandemic is not creating a new normal, it has simply accelerated the inevitable evolution of how we behave and interact. For many businesses who made digital investments early on, this period will mark an opportunity to accelerate past the competition. For others, it’s a wake-up call that the train is leaving the station, and immediate action is required. Unfortunately for the rest, a lack of action when times are good and when times are bad, will result in devastating consequences.
Click here to read more about howDigital Hive ransformed Pomona College’s fundraising efforts or book a demo to see Digital Hive in action.
Every year, Gartner, one of the world’s leading IT research companies, publishes a Cool Vendor Report highlighting new technologies in Analytics and Data Science. This year, Digital Hive (formally known as Theia) received this recognition. Previous Gartner Cool Vendors include Tableau, Snowflake, and Looker just to name a few. Many CDO’s and CTO’s use Gartner to help successfully guide their IT strategy and technology purchasing decisions.
So, does being named a Gartner Cool Vendor mean anything to Digital Hive…YES!
The Intersection of Need and Solution
Gartner analysts are some of the most informed middle-men in the world. Working with both technology vendors and enterprise data leaders, they sit at an incredibly valuable intersection of information. It’s at this intersection that Gartner is able to provide value, having 1000’s of conversations a year on both sides of the fence, identifying emerging challenges and the technologies that will provide a solution.
Validation of Enterprise Need
For Digital Hive, being named a Gartner Cool Vendor is a validation that the use of many BI & Analytics tools within large enterprises is creating real problems for end-users with BI Adoption, Data Literacy, and meaningful ROI. Companies are now in a full-sprint race to go digital, maximize the value of their data, and provide more meaningful experiences. Without frictionless access to information, meaningful data literacy education, and a push for greater user adoption, many companies are going to see the millions they invested in data & analytics go down the drain.
Even more, we now have the validation that a multi-tool tech stack is NOT going away. Co-existence is needed. If consolidating to a single BI tool is on your roadmap, be forewarned it’s a long, expensive, and ever-changing journey. Every year innovations in data & analytics produce new tools and vendors, making it necessary for companies to keep pace and maintain a competitive edge.
A Rise in Vendor Competition
For many, competition in the marketplace is a threat. For Digital Hive, seeing the recent increase in competition indicates that there IS a marketplace for our Analytic Hub solution and that we are providing much-needed value.
Why Digital Hive is the Best Analytics Hub Solution
That being said, Digital Hive was the first Analytics Hub solution to identify and solve the market need of bringing enterprise BI together. The first-mover advantage has allowed us to evolve and innovate more quickly than our competitors and provide increased value to our clients as their needs change.
Digital Hive is uniquely differentiated as the only true technology-agnostic analytics hub that allows users to interact with the full-functionality of different reports and dashboards seamlessly within the experience.
Most of the competition in our space only provides a functional analytics catalog (or is yet another BI tool in disguise). Digital Hive is the only true Analytics Hub. In addition to an Analytics Catalog Digital Hive enables end-users to create interactive Data Storyboards using reports from different tools, and contextualize information with presentations, video, RSS feeds, and custom messaging.
This means that clients can unlock the full power of Data Storytelling and Data Literacy support. Every department, persona, partner, or client receives relevant and tailored information supported by context.
Only Digital Hive can do that.
How You Can Use Digital Hive Today
Digital Hive has clients in every vertical, all around the world – Financial Services, Healthcare, Higher Education, Manufacturing, Retail, and more. With out-of-the-box connectors to 18 major information systems and a Custom API connector, any business can bring their choice of BI & Analytics tools together and benefit with Digital Hive.
Digital Hive has been named a 2020 Gartner Cool Vendor in Analytics and Data Science
With the average organization using 3.8 different BI solutions, and the number of different business roles wanting to analyze the data increasing, it’s critical that businesses make it easy for users to leverage, share and scale the analytics value from different systems that have been generated before.
According to Gartner’s report, published May 7th, 2020:
“Organizations are struggling to manage analytics content from different tools. This hinders the ability to share and scale the use of analytics, and limits adoption as users fail to find and compile the insights that have been generated before.”
Garter recommend that one way this can be achieved is by
“establishing an easily accessible portal that has single access to the analytics content built by multiple existing analytics solutions.”
Gartner’s definition of a Cool Vendor is “a small company offering a technology or service that is: innovative — enables users to do things they couldn’t do before, impactful — has or will have a business impact — not just technology for its own sake, intriguing — has caught Gartner’s interest during the past six months.”
Why is Digital Hive Cool?
Digital Hive’s technology consolidates key information assets across an entire organization in one convenient and digestible place, giving users real-time access to the relevant information they contain through a single point of entry.
Digital Hive (formally known as Theia) connects to analytics and BI tools platforms such as ThoughtSpot, Tableau, Qlik, IBM Cognos as well as standard document systems such as Google Drive, SharePoint, Box and social media platforms.
Click hereto read Gartner’s full report – link off to Gartner.
Gartner Disclaimer: The GARTNER COOL VENDOR badge is a trademark and service mark of Gartner, Inc. and/or its affiliates and is used herein with permission. All rights reserved. Gartner does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s Research & Advisory organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
As companies race to find value in their data and improve the customer experience, many have overlooked an obvious value-add: providing analytics for the customer. Client-facing analytics differentiates companies from the competition, helping increase market share, retention, and even direct revenue if packaged and productized.
Why aren’t all companies doing this already? The data is there, and the reporting, dashboards, and visualizations are plenty.
One of the most difficult aspects of trying to provide analytics to customers is delivering a complete, appealing product. With analytics coming from a variety of internal business intelligence tools, packaging all of this information is far from easy. Both internal and external, users desire a seamless analytics experience. If bringing all of this content together into a single user experience wasn’t challenging enough, each experience needs to be tailored for various audiences.
On top of wrangling content, curating different experiences, and creating a pretty product – facilitating understanding is also a challenge. Chief Data Officers are tasked with fostering data culture, increasing BI adoption, and improving data literacy. However, these initiatives shouldn’t be limited to the internal organization. Companies need to extend this concentration to clients and partners as well.
The Ideal Customer Analytics Portal
Given the needs and challenges discussed above, let’s describe the ideal external analytics portal for clients and partners:
In summary, companies should aim to deliver analytics both internally and externally to clients and partners to maximize the value of data and grow together with strong data-informed relationships using an analytics portal.
The ideal analytics portal integrates reports and visualizations from all of your different BI tools, allows for the curation of content for different groups including data literacy support, and provides an attractive and easy to use experience.
Why Act Now?
If you provide your clients with informative analytics to help them grow their businesses, your business will become an irreplaceable source of value. If you DON’T provide your clients and partners with analytics, someone else will.
The demand for analytics is continually increasing as companies use data to drive decision making. If you are not providing clients with informative analytics to help them grow their business, how are you ensuring that your service will not become an irreplaceable source of value?
Offer your clients a service that goes above and beyond the competition. Replace any frustrations by giving them full autonomy over their analytics environment.
How to create a Customer Portal with Digital Hive
Read more about our enterprise portal solutions, or get in touch, if you want to chat about customer analytics portals – we can show you how simple it is to get set up!
Book a demo with a member of the team. See the full Digital Hive experience as well as some of the branded customer portals we’ve created.
When you want to know the answer to a question, more often than not, we either say or think of those three little, but VERY popular words…‘just Google it!’
What is search? It’s something we do every single day in our personal and our professional lives. Have you ever stopped to consider how much time you spend searching for answers? The cost of those individual searches? What if you could search less and spend more time doing value add activities?
Time spent searching for the information
you need to do your job effectively is estimated to be anywhere from 19.8% and all the way up to 30% of
your business day.
So, how can I, or more correctly Digital Hive, give you back that time?
You guessed it, Search.
One of the challenges with having multiple analytics tools or even one, and the number of reports, dashboards, and visualizations created each year, is how do you find the assets you need in order to get to that elusive data-driven decision making nirvana?
That’s only half of the actual challenge. Even if you know something exists, if you are not able to find it you have two choices. One is to live without it or two, create/recreate something which already exists.
An IDC study found that it took 1200 information workers and IT professionals a whopping 4.5 hours a week simply looking for information. Here’s an even bigger problem… workers spent even more time creating documents.
Digital Hive’s value is we leverage all of the systems and repositories we connect to, providing you with the ability to quickly discover the content available in those multiple analytics tools, plus from places like SharePoint, Box, Google Drive, and the file system.
You may, in the end, need to create that new dashboard or report but you will do so knowing you’re not unwittingly wasting your time, creating something hidden away in a dark corner of your organization.
Digital Hive’s self-service discovery get you one step closer to the data-driven decision-making nirvana and you get to spend that $70 in more valuable ways!
Book a demo if you’d like to see Digital Hive in action!