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.

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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Houston femtech co. debuts first holistic wellness suite following rebrand

work perks

Houston-based femtech company Work&, previously Work&Mother, debuted new lactation suites and its first employee wellness space at MetroNational’s Memorial City Plazas this month.

The 1,457-square-foot Work& space features three lactation rooms and five wellness suites, the latter of which are intended to offer employees a private space and time for telehealth appointments, meditation, prayer, and other needs. The hybrid space, designed by Houston-based Inventure, represents Work&'s shift to offer an array of holistic health and wellness solutions to landlords for tenants.

Work& rebranded from Work&Mother earlier this year. The company was previously focused on outfitting commercial buildings with lactation accommodations for working parents, equipped with a hospital-grade pump, milk storage bags, sanitizing wipes, and other supplies. While Work& will still offer these services through its Work&Mother branch, the addition of its Work&Wellbeing arm allows the company to also "address the broader wellness needs of all employees," according to an announcement made on LinkedIn.

"We are thrilled to bring Work&Mother and Work&Wellbeing to The Plazas," Jules Lairson, co-founder and COO of Work&, said in a news release. “This partnership brings every stakeholder together – employees, employers and landlords all benefit from this kind of forward-thinking tenant experience. We are excited to launch our Work&Wellbeing concept with MetroNational to ensure that all employees have their wellness needs met with private, clean, quiet spaces for use during the workday.”

The new space is available to all tenants across Memorial City Plazas, comprised of three office towers totaling 1 million square feet of Class A office space. In addition to the lactation and wellness suites, the space also features custom banquettes, private lounge seating and phone booths.

“As a family-owned and operated company, MetroNational is deeply committed to fostering a workplace that supports both productivity and the well-being of all our tenants,” Anne Marie Ratliff, vice president of asset management for MetroNational, added in the release. “Partnering with Work& reinforces this commitment, enhancing our workplace experience and setting a new standard for tenant amenities.”

Work& has five Houston locations and several others in major metros, including New York, Austin, D.C., Boston, Chicago, San Francisco, and Miami. According to its website, the company will also introduce a Work&Wellbeing suite in New York.

Abbey Donnell spoke with InnovationMap on the Houston Innovators Podcast about why she founded the company and its plans for growth in 2021. Click here to learn more.

9 Houston universities make U.S. News' list of best grad schools 2025

Top of the class

Nine Houston universities have climbed through the ranks in U.S. News & World Report’s recently released report of the best graduate schools nationwide for 2025. Several graduate programs also appeared among the top 10 in a Texas-wide comparison.

U.S. News published its annual national "Best Graduate Schools" rankings on April 8. They look at several programs including business, education, engineering, fine arts, health, and many others.

For the 2025 report, the publication added new Ph.D. social sciences and humanities program rankings in English, history, political science and sociology for the first time since 2021. U.S. News also ranked graduate economics and psychology programs in the social sciences and the humanities for the first time since 2022.

Among the newcomers are Houston Christian University and Texas Southern University.

Here's how the nine local schools ranked, statewide and nationally, and how they compared with last year's national ranking:

University of Houston

  • No. 4 best graduate engineering school in Texas; No. 72 nationally
  • No. 5 best graduate education school in Texas; No. 81 nationally (down from No. 63 last year)
  • No. 5 best law school in Texas; No. 63 nationally (up from No. 68)

The University of Houston Law Center has the No. 9 best health law program in the nation, and ranked No. 15 for its legal writing program. The university's part-time MBA program ranked No. 38 nationally

University of Houston, Clear Lake

  • No. 12 best graduate education school in Texas; No. 166 nationally

The Clear Lake branch of the University of Houston tied for No. 166 for its part-time MBA program.

Houston Christian University

  • No. 21 best graduate education school in Texas; tied for No. 234-258 nationally

University of Texas Health Science Center

  • No. 1 best Doctor of Nursing Practice program in Texas; No. 33 nationally (up from No. 45)
  • No. 2 best graduate nursing program in Texas; No. 41 nationally (down from No. 31)

Prairie View A&M University, Northwest Houston Center

  • No. 5 best graduate nursing program in Texas; No. 104 nationally (up from No. 117)
  • No. 7 best Doctor of Nursing Practice program in Texas; tied for No. 143-158 nationally

Rice University

  • No. 2 best graduate business school in Texas; No. 29 nationally (unchanged)
  • No. 3 best graduate engineering school in Texas; No. 26 nationally

Rice's entrepreneurship program is the 9th best in the country, and its part-time MBA program ranked 13th nationally. The George R. Brown School of Engineering earned nods for its No. 10-ranking biomedical engineering and environmental engineering programs.

University of Texas Medical Branch, Galveston

  • No. 5 best Doctor of Nursing Practice program in Texas; No. 76 nationally

South Texas College of Law Houston

  • No. 7 best law school in Texas; No. 138 nationally

Out of the 11 law programs ranked by U.S. News, the South Texas College of Law performed the best for its trial advocacy (No. 12), dispute resolution law (No. 23), and legal writing (No. 51) programs.

Texas Southern University

  • No. 10 best law school in Texas; tied for No. 178-195 nationally

More specifically, TSU has the 64th best trial advocacy law program in the nation, U.S. News said.

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This article originally appeared on our sister site, CultureMap.com.

VC firm partners with Rice Nexus to open first global office

strategic partnership

Luxembourg-based venture capital and advisory firm MoreThan Capital (MTC) has established its first global office at the new Rice Nexus in Houston’s Ion District as part of a strategic partnership aimed at fostering entrepreneurship and growing Houston as an innovation hub.

MTC has committed to offering its “time, mentorship, industry expertise and global connections” to Rice Nexus. The state-of-the-art Rice Nexus, which opened earlier this year, aims to support and provide resources for ventures that are looking to scale and have "artificial intelligence (AI) as a central pillar of its innovation strategy," according to a statement from Rice.

“The Rice Nexus is a launchpad for world-changing ideas, and this partnership with MoreThan Capital is a key step in realizing that vision,” Sanjoy Paul, executive director of the Rice Nexus, said in a news release. “By combining Rice’s research and entrepreneurial talent with MTC’s global network and mentorship, we are creating an unparalleled engine for innovation that starts in Houston and reaches the world.”

MoreThan Capital has over 100 limited partners, including senior executives and professional investors, based in more than 35 countries.

“Establishing our first global office at the Rice Nexus within the Ion District is a significant milestone for MoreThan Capital,” Guillermo Ruiz, general partner of MoreThan Capital, said in a news release. “We are dedicated to partnering with top-tier academic institutions like Rice University and aligning with organizations that share our core values of trust, engagement and impact.”

The announcement comes just a few weeks after Rice Nexus announced its partnership with Google Public Sector to launch the new Rice AI Venture Accelerator, or RAVA.