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 hospital named among smartest in the nation

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Houston hospitals are chock-full of smart people. But they’re also equipped with lots of “smart” technology. In fact, five local hospitals appear on Newsweek’s new list of the world’s best “smart” hospitals.

To compile the list, Newsweek teamed up with data provider Statista to rank the world’s top 330 hospitals for the use of smart technology. The ranking factors were electronic functionality, telemedicine, digital imaging, artificial intelligence (AI), and robotics.

The highest-ranked Houston hospital is the University of Texas MD Anderson Cancer Center, appearing at No. 6. The hospital was recognized for advancements in electronic functionality, AI and robotics.

“MD Anderson has a significant opportunity and a responsibility to our many stakeholders to create a digital ecosystem that promotes collaboration and advances scientific discovery to enhance patient outcomes,” David Jaffray, the cancer center’s chief technology and digital officer, said in a 2021 news release.

“Through our ongoing focus on enabling the use of new technologies to place quantitative data in context for our researchers,” Jaffray added, “we foster cutting-edge oncology data science to inform our cancer discovery research and to accelerate translation of our research findings into benefits for cancer patients.”

Ahead of MD Anderson on the list are:

  1. Mayo Clinic in Rochester, Minnesota.
  2. Cleveland Clinic in Cleveland.
  3. Massachusetts General Hospital in Boston.
  4. Johns Hopkins Hospital in Baltimore.
  5. Mount Sinai Hospital in New York City.

Other Houston hospitals on the list are:

  • Houston Methodist Hospital, No. 11.
  • Baylor St. Luke’s Medical Center, No. 105.
  • Texas Children’s Hospital, No. 197.
  • Memorial Hermann-Texas Medical Center, No. 266.

Expert: How to best repurpose Houston’s infrastructure for a clean energy future

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Houston, often dubbed the “Energy Capital of the World,” is at a pivotal moment in its history. Known for its vast oil and gas reserves, the city is now embracing a new role as a leader in the clean energy transition. This shift is not just about adopting new technologies but also about creatively repurposing existing infrastructure to support sustainable energy solutions.

Houston’s offshore oil wells, many of which are old or abandoned, present a significant opportunity for carbon capture. By repurposing these wells, we can sequester carbon dioxide, reducing greenhouse gas emissions and mitigating climate change. This approach not only utilizes existing infrastructure but also provides a cost-effective solution for carbon management. According to the Greater Houston Partnership, initiatives like these are crucial as Houston aims to lower its climate-changing greenhouse gas emissions. Exxon estimates that just their proposed CCS hub could capture and store 50 million metric tons of CO2 annually by 2030 and 100 million metric tons by 2040.

The proximity of abandoned offshore platforms to the coast makes them ideal candidates for renewable energy substations. These platforms can be transformed into hubs for wind, solar or tidal energy, facilitating the integration of renewable energy into the grid. This repurposing not only maximizes the use of existing structures but also minimizes environmental disruption.

Decommissioned pipelines, which are already in place, offer a ready-made solution for routing renewable energy cables. By using these existing rights of way, Houston can avoid disturbing additional seafloor and reduce the environmental impact of new cable installations. This strategy ensures a smoother transition to renewable energy infrastructure. The U.S. Energy Information Administration notes that Texas, including Houston, leads the nation in wind-generated electricity, highlighting the potential for further renewable energy development.

Onshore oil and gas facilities in Houston also hold potential for clean energy repurposing. Wells that were drilled but never used for oil or gas can be adapted for geological thermal energy storage. This process involves storing excess renewable energy in the form of heat, which can be retrieved when needed, providing a reliable and sustainable energy source. This innovative use of existing wells aligns with Houston’s broader energy transition strategy, which aims to leverage the city’s industrial expertise for a low-carbon future.

Once the land has been remediated, old and abandoned oil fields can be converted into solar farms. This transformation not only provides a new use for previously contaminated land but also contributes to the generation of clean, renewable energy. Solar farms on these sites can help meet Houston’s energy needs while supporting environmental restoration. The Environmental Protection Agency in recent years recognized Houston as the top city in the U.S. for green energy usage, with annual green power usage topping 1 billion kilowatt-hours in 2021.

Houston’s journey towards a clean energy future is a testament to the power of innovation and adaptability. By repurposing existing infrastructure, we can create a sustainable energy landscape that honors the city’s industrial past while paving the way for a greener tomorrow. These strategies highlight the potential for Houston to lead in the clean energy transition, setting an example for cities worldwide.

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Tershara Mathews is the national offshore wind lead at WSP.

This article originally ran on EnergyCapital.


Where to work: These 2024 Houston Innovation Awards finalists are hiring

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About a third of this year's startup finalists for the Houston Innovation Awards are hiring — from contract positions all the way up to senior-level roles.

The finalists, announced last week, range from the medical to energy to AI-related startups and will be celebrated next month on Thursday, November 14, at the Houston Innovation Awards at TMC Helix Park. Over 50 finalists will be recognized for their achievements across 13 categories, which includes the 2024 Trailblazer Legacy Awards that were announced earlier this month.

Click here to secure your tickets to see which growing startups win.

Let's take a look at where you could land a job at one of Houston's top startups.

Double-digit growth

When submitting their applications for the 2024 Houston Innovation Awards, every startup was asked if it was hiring. Four Houston startups replied that they are growing their teams rapidly.

Houston e-commerce startup Cart.com, one of the city's few $1 billion-plus “unicorns," reported that it is hiring approximately 50 new employees. The company, which focuses on commerce and logistics software development, secured $105 million in debt refinancing from investment manager BlackRock this summer following a $25 million series C extension round that brought Cart.com’s Series C total to $85 million. It currently has about 1,500 employees and 4 offices in three companies since it was founded in 2020, according to its website.

Houston energy tech company Enovate Ai (previously known as Enovate Upstream) reported that it is hiring 10-plus positions. The company, with 35 current employees, helps automate business and operational processes for decarbonization and energy optimization. Its CEO and founder, Camilo Mejia, sat down for an interview with InnovationMap in 2020. Click here to read the Q&A.

Square Robot is hiring about 10 new Houston employees and 15 total between Houston and other markets, according to its application. The advanced robotics company was founded in Boston in 2016 and opened its Houston office in August 2019. It develops submersible robots for the energy industry, specifically for storage tank inspections and eliminating the need for humans to enter dangerous and toxic environments. Last year it reported to be hiring 10 to 30 employees as well, ahead of the 2023 Houston Innovators Award. It currently has 25 Houston employees and about 50 nationally.

InnoVent Renewables LLC is also hiring 15 new employees to be based in Mexico. The company launched last year with its proprietary continuous pyrolysis technology that can convert waste tires, plastics, and biomass into fuels and chemicals. The company scaled up in 2022 and has operations in Pune, India, and Monterrey, Mexico, with plans for aggressive growth across North America and Latin America. It has 20 employees in Mexico and one in Houston currently.

Senior roles

Geothermal energy startup Sage Geosystems reported that it is looking to fill two senior roles in the company. It also said it anticipates further staff growth after its first commercial energy storage facility is commissioned at the end of the year in the San Antonio metro area. The company also recently expanded its partnership with the United States Department of Defense's Defense Innovation Unit and announced this month that it was selected to conduct geothermal project development initiatives at Naval Air Station in Corpus Christi. It has 12 full-time employees, according to its application.

Steady growth

Other companies reported that they are hiring a handful of new workers, which for some will increase headcount by about 50 percent to 100 percent.

Allterum Therapeutics reported that it is adding six employees to its current team of 13. The biopharmaceutical company that is under the Fannin Partners portfolio of med tech companies was awarded a $12 million product development grant from the Cancer Prevention and Research Institute of Texas this spring.

Dauntless XR will add between five and eight employees, according to its application. It currently has four employees. The augmented reality software company, originally founded as Future Sight AR in 2018, recently secured a NASA contract for space weather technology after rebranding and pivoting. The company's CEO, Lori-Lee Elliott, recently sat down with the Houston Innovators Podcast. Click here to hear the interview.

Syzygy Plasmonics is hiring four positions to add to its team of 120. The company was named to Fast Company's energy innovation list earlier this year.

Venus Aerospace is adding five to 10 key hires to its team of 72. Andrew Duggleby founded the company with his wife and CEO Sassie in 2020, before relocating to the Houston Spaceport in 2021. Last year, Venus raised a $20 million series A round, and it successfully ran the first long-duration engine test of their Rotating Detonation Rocket Engine in partnership with the Defense Advanced Research Projects Agency, or DARPA, earlier this year.

​Seeking selectively

Other finalists are adding to their teams with a handful of new hires of contract gigs.

​Future roles

Other finalists reported that they are currently not hiring, but had plans to in the near future.

NanoTech Materials Inc., which recently moved to a new facility, is not currently. Hiring but said it plans with new funding during its series B.

Renewable energy startup CLS Wind is not hiring at this time but reported that it plans to when the company closes funding in late 2024.