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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Houston researchers develop dissolvable implant for targeted cancer drug delivery

cancer research

Researchers at Houston Methodist have developed a biodegradable implant that can be used to safely and consistently deliver drug treatments to tumors and then dissolve without the need for further surgery.

The implant is only the size of a grain of rice, but its potential is staggering. The biodegradable nanofibrous drug-eluting seed (b-NDES) works as a reservoir parked inside a soft tumor, where it can slowly release immune-stimulating drugs over time. This overcomes a consistent problem with drugs such as immune checkpoint inhibitors. Normal systemic administration sees comparatively little of the drug making its way to the tumor, with most of it circulating throughout the body. The b-NDES is like deploying a small guerrilla fighting force embedded in enemy territory, doing maximum damage to the entrenched tumor.

"To improve cancer treatment, we're trying to start a fire inside the tumor itself," Corrine Chua, associate professor in the Center for BioNanoengineering at Houston Methodist Research Institute, said in a news release. "By activating immune cells directly within the tumor microenvironment, those cells can then travel throughout the body and seek out cancer wherever it exists. The b-NDES platform was developed to help keep therapeutic drugs concentrated inside tumors while minimizing exposure to healthy tissues.”

Chua co-led the study with Alessandro Grattoni, chair and director of the Center for BioNanoengineering at Houston Methodist Research Institute.

The study included support from the Nancy Owens Breast Cancer Foundation and the National Institutes of Health/National Cancer Institute.

Chau and Grattoni used preclinical models of triple-negative breast cancer, an aggressive form of cancer that is estrogen receptor-negative, progesterone receptor-negative and HER2-negative. Because of the receptor negativity, some popular treatments like tamoxifen and trastuzumab are ineffective. Chemotherapy has been shown to be the best course of action.

The b-NDES implant is deployed alongside radiation drugs. It keeps the drugs focused on the tumor, reducing the amount of harmful side effects typically seen when drugs are circulated more widely in the body. In 60 percent of the models, tumors were eliminated and did not cause side effects beyond the tumor site. Once the drugs have been deployed, the implant breaks down naturally.

While promising, more research will have to be done to expand use to other tumor types.

"Although the study focused on triple-negative breast cancer models, the approach could have broader applications for solid tumors," Grattoni added in the release. "It could potentially be used in cancers where there is a tumor lesion accessible for placement, including pancreatic or lung cancers."

New Houston platform Same Day Reels launches for on-demand content creation

In The Moment

If an event doesn't happen on Instagram, did it even really happen? In today's social media-driven age of branding and audience engagement, the answer increasingly is no.

Houston entrepreneur Karen De Amat is looking to fill the online content creation needs of companies with her new venture, Same Day Reels, which launched in early August. It will serve as a platform to connect companies and brands with talent that can help turn an event into a viral moment as it is happening.

"Events move quickly, and social media moves even faster,” said De Amat. “Same Day Reels was built to help brands capture the moment while it still matters. We are creating a more efficient way for businesses and creators to work together. Brands need content faster, and creators need more opportunities to turn their talent into real work. Same Day Reels brings those needs together.”

The company is focused on adding livestreams and concurrent short video content to "activations, launches, fundraisers, grand openings, conferences, hospitality experiences, and private celebrations." Such content can significantly increase the visibility of a product or brand according to digital marketing brands like Wyzowl, whose data found 63 percent of people in 2026 prefer to learn about new products via short video.

Packages offered by Same Day Reels will include filming, editing, and publishing content within hours of the targeted event.

De Amat says that her content creation platform will be a way to preserve the excitement of events and launches by enshrining them with immediate social media-driven memories.

“Event content is no longer just something you post after the fact,” De Amat said. “It is part of how people experience, remember and share the moment.”

Previously, De Amat is also the founder and CEO of Social Behavior, an influencer marketing company she launched from her home in 2014. It quickly garnered an array of clients and thrust De Amat into the spotlight, including numerous appearances on Fox 26's The Isiah Factor. Influencer Marketing Hub named her one of the top CEOs of influencer marketing companies in Houston in 2025.

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This article originally appeared on CultureMap.com.

Bristol Myers Squibb to build $2.3B Houston pharma manufacturing campus

coming soon

New Jersey-based pharmaceutical giant Bristol Myers Squibb Co. has officially named Houston as the home of its new state-of-the-art manufacturing site.

The 60,000-square-foot facility represents a $2.3 billion investment, according to a news release. It is expected to create 500 skilled jobs and will be located in Houston's Generation Park.

BMS first announced that it was considering Houston among 16 other cities for the facility in May. The new hub will manufacture small molecule, biologic and antibody-drug conjugates and is part of a $40 billion commitment to invest in the United States over five years. Construction is slated to begin next year, with the facility coming online in 2030.

"We're building the domestic manufacturing capabilities needed to deliver the next generation of medicines and support future scientific breakthroughs. Houston and the state of Texas offer the talent, infrastructure, and partnership needed to help bring that vision to life," Christopher Boerner, CEO and board chair of BMS, said in the release.

The new facility will feature a modular, multi-modal design, which will allow the company to reconfigure and add to its manufacturing capabilities over time. BMS says it expects the facility to "(grow) in scale and capability well beyond its opening configuration."

"Our decision to build this state-of-the-art manufacturing campus in Houston, Texas, reflects our confidence in the region’s ability to support a world-class, digitally advanced supply operation,” Karin Shanahan, EVP and chief supply chain and operations officer of BMS, added in the release. “This facility is designed to deliver the speed, quality, and reliability that patients depend on, combining flexible, modular manufacturing with advanced digital capabilities to ensure consistent supply across multiple modalities. It strengthens our ability to operate with resilience and positions us to reliably deliver medicines to patients today while adapting future demands.”

Texas Gov. Greg Abbott shared that the state has granted BMS a $4.89 million Texas Enterprise Fund (TEF) grant for the project. TEF grants, administered by the Texas Economic Development & Tourism Office, support business relocation or expansion projects that create "new, good-paying jobs in the community and attract significant new capital investment to the state." The development is also a qualified project under the Texas Jobs, Energy, Technology, and Innovation (JETI) program.

“Texas is a global hub for life sciences, where today’s innovations shape the future of healthcare,” Abbott said in a news release. “This $2.3 billion investment by Bristol Myers Squibb in the dynamic biotech ecosystem in Houston is a testament to the depth of our skilled workforce and the pipeline of talent coming through our nation-leading technical colleges and research universities. With lower operating costs and easy access to markets across the U.S. and the world, Texas drives affordability for consumers.”

"Bristol Myers Squibb’s announcement is a tremendous win for Texas and the Houston region, further reinforcing our position as a premier destination for life sciences and advanced manufacturing,” added Greater Houston Partnership President and CEO Steve Kean.

Last fall, Eli Lilly and Co. selected Generation Park, a 4,300-acre, master-planned commercial district near Lake Houston, for its $6.5 billion manufacturing plant. More than 300 locations in the U.S. competed for the factory. Read more here.

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