Houston expert breaks down how B2B companies should leverage data for growth

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How you can use your data to improve your marketing efforts. Photo via Getty Images

When focusing on revenue growth in business to business companies, analyzing data to develop and optimize strategies is one of the biggest factors in sales and marketing success. However, the process of evaluating B2B data differs significantly from that of B2C, or business to consumer. B2C analysis is often straightforward, focusing on consumer behavior and e-commerce transactions.

Unlike B2C, where customers can make a quick purchase decision with a simple click, the B2B customer journey involves multiple touchpoints and extensive research. B2B buyers will most likely discover a company through an ad or a referral, then navigate through websites, interact with salespeople, and explore different resources before finally making a purchasing decision, often with a committee giving input.

Because a B2B customer journey through the sales pipeline is more indirect, these businesses need to take a more nuanced approach to acquiring and making sense of data.

The expectations of B2B vs. B2C

It can be tempting to use the same methods of analysis between B2C and B2B data. However, B2B decision-making requires more consideration. Decisions involving enterprise software or other significant business products or services investments are very different from a typical consumer purchase.

B2C marketing emphasizes metrics like conversion rates, click-through rates, and immediate sales. In contrast, B2B marketing success also includes metrics like lead quality, customer lifetime value, and ROI. Understanding the differences helps prevent unrealistic expectations and misinterpretations of data.

Data differences with B2B

While B2C data analysis often revolves around website analytics and foot traffic in brick and mortar stores, B2B data analysis involves multiple sources. Referrals play a vital role in B2B, as buyers often seek recommendations from industry peers or companies similar to theirs.

Data segmentation in B2B focuses more on job title and job function rather than demographic data. Targeting different audiences within the same company based on their roles — and highlighting specific aspects of products or services that resonate with those different decision-makers — can significantly impact a purchase decision.

The B2B sales cycle is longer because purchases typically involve the input of a salesperson to help buyers with education and comparison. This allows for teams to implement account-based marketing and provides for more engagement which increases the chances of moving prospects down the sales funnel.

Enhancing data capture in B2B analysis

Many middle-market companies rely heavily on individual knowledge and experience rather than formal data management systems. As the sales and marketing landscape has evolved to be more digital, so must business. Sales professionals can leave and a company must retain the knowledge of the buyers and potential buyers. CRM systems not only collect data, they also provide the history of customer relationships.

Businesses need to capture data at all the various touchpoints, including lead generation, prospect qualification, customer interactions, and order fulfillment. Regular analysis will help with accuracy. The key is to derive actionable insights from the data.

B2B data integration challenges

Integrating various data sources in B2B data analysis used to be much more difficult. With the advent of business intelligence software such as Tableau and Power BI, data analysis is much more accessible with a less significant investment. Businesses do need access to resources to effectively use the tools.

CRM and ERP systems store a wealth of data, including contact details, interactions, and purchase history. Marketing automation platforms capture additional information from website forms, social media, and email campaigns. Because of these multiple sources, connecting data points and cleansing the data is a necessary step in the process.

When analyzing B2B data for account based marketing (ABM) purposes, there are some unique considerations to keep in mind. Industries like healthcare and financial services, for instance, have specific regulations that dictate how a business can use customer data.

Leveraging B2B data analysis for growth

B2B data analysis is the foundation for any sales and marketing strategy. Collecting and using data from multiple sources allows revenue teams to uncover gaps, trends, and opportunities for continued growth.

Acknowledging what’s different about B2B data and tracking all of the customer journey touchpoints is important as a business identifies a target market, develops an ideal customer profile, and monitors their competitors. Insights from data also single out gaps in the sales pipeline, use predictive analytics for demand forecasting, and optimize pricing strategies.

This comprehensive approach gives B2B companies the tools they need to make informed decisions, accelerate their sales and marketing efforts, and achieve long-term growth in a competitive market.

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Libby Covington is a Partner with Craig Group, a technology-enabled sales and marketing advisory firm specializing in revenue growth for middle-market, private-equity-backed portfolio companies.

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Every situation is unique and deserves a one-of-the-kind data management plan, not a one-size-fits-all solution. Graphic by Miguel Tovar/University of Houston

Houston research: Why you need a data management plan

Houston voices

Why do you need a data management plan? It mitigates error, increases research integrity and allows your research to be replicated – despite the “replication crisis” that the research enterprise has been wrestling with for some time.

Error

There are many horror stories of researchers losing their data. You can just plain lose your laptop or an external hard drive. Sometimes they are confiscated if you are traveling to another country — and you may not get them back. Some errors are more nuanced. For instance, a COVID-19 repository of contact-traced individuals was missing 16,000 results because Excel can’t exceed 1 million lines per spreadsheet.

Do you think a hard drive is the best repository? Keep in mind that 20 percent of hard drives fail within the first four years. Some researchers merely email their data back and forth and feel like it is “secure” in their inbox.

The human and machine error margins are wide. Continually backing up your results, while good practice, can’t ensure that you won’t lose invaluable research material.

Repositories

According to Reid Boehm, Ph.D., Research Data Management Librarian at the University of Houston Libraries, your best bet is to utilize research data repositories. “The systems and the administrators are focused on file integrity and preservation actions to mitigate loss and they often employ specific metadata fields and documentation with the content,” Boehm says of the repositories. “They usually provide a digital object identifier or other unique ID for a persistent record and access point to these data. It’s just so much less time and worry.”

Integrity

Losing data or being hacked can challenge data integrity. Data breaches do not only compromise research integrity, they can also be extremely expensive! According to Security Intelligence, the global average cost of a data breach in a 2019 study was $3.92 million. That is a 1.5 percent increase from the previous year’s study.

Sample size — how large or small a study was — is another example of how data integrity can affect a study. Retraction Watch removes approximately 1,500 articles annually from prestigious journals for “sloppy science.” One of the main reasons the papers end up being retracted is that the sample size was too small to be a representative group.

Replication

Another metric for measuring data integrity is whether or not the experiment can be replicated. The ability to recreate an experiment is paramount to the scientific enterprise. In a Nature article entitled, 1,500 scientists lift the lid on reproducibility, “73 percent said that they think that at least half of the papers can be trusted, with physicists and chemists generally showing the most confidence.”

However, according to Kelsey Piper at Vox, “an attempt to replicate studies from top journals Nature and Science found that 13 of the 21 results looked at could be reproduced.”

That's so meta

The archivist Jason Scott said, “Metadata is a love note to the future.” Learning how to keep data about data is a critical part of reproducing an experiment.

“While this will be always be determined by a combination of project specifics and disciplinary considerations, descriptive metadata should include as much information about the process as possible,” said Boehm. Details of workflows, any standard operating procedures and parameters of measurement, clear definitions of variables, code and software specifications and versions, and many other signifiers ensure the data will be of use to colleagues in the future.

In other words, making data accessible, useable and reproducible is of the utmost importance. You make reproducing experiments that much easier if you are doing a good job of capturing metadata in a consistent way.

The Big Idea

A data management plan includes storage, curation, archiving and dissemination of research data. Your university’s digital librarian is an invaluable resource. They can answer other tricky questions as well: such as, who does data belong to? And, when a post-doctoral student in your lab leaves the institution, can s/he take their data with them? Every situation is unique and deserves a one-of-the-kind data management plan, not a one-size-fits-all solution.

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This article originally appeared on the University of Houston's The Big Idea. Sarah Hill, the author of this piece, is the communications manager for the UH Division of Research.

Here's your university research data management checklist. Graphic by Miguel Tovar/University of Houston

Tips for optimizing data management in research, from a UH expert

Houston voices

A data management plan is invaluable to researchers and to their universities. "You should plan at the outset for managing output long-term," said Reid Boehm, research data management librarian at University of Houston Libraries.

At the University of Houston, research data generated while individuals are pursuing research studies as faculty, staff or students of the University of Houston are to be retained by the institution for a period of three years after submission of the final report. That means there is a lot of data to be managed. But researchers are in luck – there are many resources to help navigate these issues.

Take inventory

Is your data…

  • Active (constantly changing) or Inactive (static)
  • Open (public) or Proprietary (for monetary gain)
  • Non-identifiable (no human subjects) or Sensitive (containing personal information)
  • Preservable (to save long term) or To discard in 3 years (not for keeping)
  • Shareable (ready for reuse) or Private (not able to be shared)

The more you understand the kind of data you are generating the easier this step, and the next steps, will be.

Check first

When you are ready to write your plan, the first thing to determine is if your funders or the university have data management plan policy and guidelines. For instance, University of Houston does.

It is also important to distinguish between types of planning documents. For example:

A Data Management Plan (DMP) is a comprehensive, formal document that describes how you will handle your data during the course of your research and at the conclusion of your study or project.

While in some instances, funders or institutions may require a more targeted plan such as a Data Sharing Plan (DSP) that describes how you plan to disseminate your data at the conclusion of a research project.

Consistent questions that DMPs ask include:

  • What is generated?
  • How is it securely handled? and
  • How is it maintained and accessed long-term?

However it's worded, data is critical to every scientific study.

Pre-proposal

Pre-proposal planning resources and support at UH Libraries include a consultation with Boehm. "Each situation is unique and in my role I function as an advocate for researchers to talk through the contextual details, in connection with funder and institutional requirements," stated Boehm. "There are a lot of aspects of data management and dissemination that can be made less complex and more functional long term with a bit of focused planning at the beginning."

When you get started writing, visit the Data Management Plan Tool. This platform helps by providing agency-specific templates and guidance, working with your institutional login and allowing you to submit plans for feedback.

Post-project

Post-project resources and support involve the archiving, curation and the sharing of information. The UH Data Repository archives, preserves and helps to disseminate your data. The repository, the data portion of the institutional repository Cougar ROAR, is open access, free to all UH researchers, provides data sets with a digital object identifier and allows up to 10 GB per project. Most most Federal funding agencies already require this type of documentation (NSF, NASA, USGS and EPA. The NIH will require DMPs by 2023.

Start out strong

Remember, although documentation is due at the beginning of a project/grant proposal, sustained adherence to the plan and related policies is a necessity. We may be distanced socially, but our need to come together around research integrity remains constant. Starting early, getting connected to resources, and sharing as you can through avenues like the data repository are ways to strengthen ourselves and our work.

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This article originally appeared on the University of Houston's The Big Idea. Sarah Hill, the author of this piece, is the communications manager for the UH Division of Research.

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State-of-the-art innovation hub opens in Houston Energy Corridor

flagship facility

French multinational company Schneider Electric has opened a new 10,500-square-foot, state-of-the-art Energy Innovation Center in Houston.

The new facility is located in Houston’s Energy Corridor and is designed to “foster increased collaboration and technological advancements across the entire value chain,” according to a news release from the company. The new Houston location joins Schneider's existing innovation hubs in Paris, Singapore and Bangalore.

The venue will serve as a training center for process control engineers, production superintendents, manufacturing managers, technical leads and plant operations personnel. It can simulate various real-world scenarios in refineries, combined-cycle power plants, ethylene plants, recovery boilers and chemical reactors.

It includes an interactive control room and artificial Intelligence applications that “highlight the future of industrial automation,” according to the release.

"Digitalization is significantly enhancing the global competitiveness of the U.S. through continuous innovation and increased investment into next-generation technology," Aamir Paul, Schneider Electric's President of North America Operations, said in the release.

Texas has over 4,100 Schneider Electric employees, the most among U.S. states, and has facilities in El Paso, the Dallas-Fort Worth metroplex and other areas.

"This flagship facility in the Energy Capital of the World underscores our commitment to driving the future of software-defined automation for our customers in Houston and beyond,” Paul added in the release. “With this announcement, we are excited to continue supporting the nation's ambitions around competitive, efficient and cost-effective manufacturing."

Schneider Electric says the new Houston facility is part of its expansion plans in the U.S. The company plans to invest over $700 million in its U.S. operations through 2027, which also includes an expansion at its El Paso campus.

The company also announced plans to invest in solar and battery storage systems developed, built, and operated by Houston-based ENGIE North America last year. Read more here.

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This story first appeared on our sister site, EnergyCapitalHTX.com.

9 can't-miss Houston business and innovation events for April

where to be

Two new conferences will launch while another longtime business competition celebrates its 25th anniversary this month in Houston. Plus, there are networking opportunities, family tech events and more.

Here are the Houston business and innovation events you can't miss in April and how to register. Please note: this article might be updated to add more events.

​Ion Block Party: Art Crawl

Network and socialize with other tech enthusiasts and business-minded individuals while taking in the new gallery at Community Artists’ Collective and experiencing the immersive dome at Omnispace360. See work by Joel Zika, who will showcase his digital sculptures through augmented reality screens, and other public art around the Ion while also enjoying food and drink.

This event is Thursday, April 3, from 4-7 p.m. at the Ion. Click here to register.

​CLA Presents: Raising Capital over Happy Hour

Gain a better understanding of the capital-raising process and various funding opportunities at this educational happy hour. Keith Davidson, the market leader for CLA in Dallas and former CFO of ICS, will present.

This event is Thursday, April 10, from 4-6 p.m. at The Cannon. Click here to register.

Rice Business Plan Competition 

The Rice Alliance for Technology and Entrepreneurship will host the 25th annual Rice Business Plan Competition this month. Forty-two student-led teams from around the world, including one team from Rice, will present their plans before more than 300 angel, venture capital, and corporate investors to compete for more than $1 million in prizes.

This event is April 10-12. Stream the Elevator Pitch Competition and Final Round here.

RSVF Annual Conference

The Rice Student Venture Fund will host its first-ever Annual Conference to celebrate the university's entrepreneurial spirit and the rising generation of student-led innovation. The conference will include live startup demos, an RSVF fund update, a keynote fireside chat, a builder-investor panel and networking. RSVF welcomes students, alumni, investors, faculty and staff, and innovators and community members of the broader tech scene.

This event is Monday, April 14, from 4-8 p.m. at the Ion. Click here to register.

​TEX-E Conference

TEX-E will host its inaugural conference this month under the theme "Energy & Entrepreneurship: Navigating the Future of Climate Tech." The half-day conference will feature a keynote from Artemis Energy Partners CEO Bobby Tudor as well as panels with other energy and tech leaders from NRG, Microsoft, GE Vernova and TEB Tech.

This event is Tuesday, April 15, from 1-4:30 p.m. at the Ion. Click here to register.

Houston Methodist Leadership Speaker Series 

Hear from Dr. Jonathan Rogg, Chief Quality Officer and Vice President of Operations at Houston Methodist Hospital and a a practicing emergency medicine physician, at the latest Houston Methodist Leadership Speaker Series. Rogg will present "Leadership from the Bedside to the Boardroom."

This event is on Wednesday, April 23, from 4:45-6 p.m. at the Ion. Click here to register.

Ion Family STEAM Day– Let's Build a Tripwire Alarm

STEAM on Demand will host a hands-on, family-friendly engineering lesson for young ones on the Ion Forum Stairs. Kids will learn to create and test their own working alarm system. The event is geared toward those ages 7 to 14.

This event is Sunday, April 26, from 10 a.m. to noon at the Ion. Click here to register.

 Greentown Houston Fourth Anniversary Transition On Tap

Climatetech incubator Greentown Labs will celebrate its fourth anniversary with a special edition of its signature networking event, Transition On Tap. Entrepreneurs, investors, students, and friends of climatetech are invited to attend.

This event is Tuesday, April 29, from 5:30-7:30 p.m. at Greentown Labs. Click here to register.

Integrate Space Technology Into Your Small Biz

The SBA Houston District Office and the UH Technology Bridge will host a collaborative event designed to help small businesses leverage space technology for prototype development. Attendees will also hear from industry experts on resources and gain access free technical engineering assistance to help accelerate their businesses.

This event is Wednesday, April 30, from 9:30-11:30 a.m. at UH Technology Bridge Innovation Center. Click here to reserve your spot.

Texas university's innovative 'WaterHub' will dramatically reduce usage by 40%

Sustainable Move

A major advancement in sustainability is coming to one Texas university. A new UT WaterHub at the University of Texas at Austin will be the largest facility of its kind in the U.S. and will transform how the university manages its water resources.

It's designed to work with natural processes instead of against them for water savings of an estimated 40 percent. It's slated for completion in late 2027.

The university has had an active water recovery program since the 1980s. Still, water is becoming an increasing concern in Austin. According to Texas Living Waters, a coalition of conservation groups, Texas loses enough water annually to fill Lady Bird Lake roughly 89 times over.

As Austin continues to expand and face water shortages, the region's water supply faces increased pressure. The UT WaterHub plans to address this challenge by recycling water for campus energy operations, helping preserve water resources for both the university and local communities.

The 9,600-square-foot water treatment facility will use an innovative filtration approach. To reduce reliance on expensive machinery and chemicals, the system uses plants to naturally filter water and gravity to pull it in the direction it needs to go. Used water will be gathered from a new collection point near the Darrell K Royal Texas Memorial Stadium and transported to the WaterHub, located in the heart of the engineering district. The facility's design includes a greenhouse viewable to the public, serving as an interactive learning space.

Beyond water conservation, the facility is designed to protect the university against extreme weather events like winter storms. This new initiative will create a reliable backup water supply while decreasing university water usage, and will even reduce wastewater sent to the city by up to 70 percent.

H2O Innovation, UT’s collaborator in this project, specializes in water solutions, helping organizations manage their water efficiently.

"By combining cutting-edge technology with our innovative financing approach, we’re making it easier for organizations to adopt sustainable water practices that benefit both their bottom line and the environment, paving a step forward in water positivity,” said H2O Innovation president and CEO Frédéric Dugré in a press release.

The university expects significant cost savings with this project, since it won't have to spend as much on buying water from the city or paying fees to dispose of used water. Over the next several years, this could add up to millions of dollars.

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A version of this story originally appeared on our sister site, CultureMap Austin.

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