By accounting for both known and unknowable factors, managers can identify salespeople with traits that work best in different types of sales. Getty Images

When you're a manager, decisions barrage you each day. What product works? Which store layout entices? How will you balance the budget? Many of these decisions ultimately hinge on one factor: the skills of your sales force.

Often, when managers evaluate their salespeople they contend with invisible factors that may not show up in commissions or name-tagged sales rosters — intangibles such as product placement, season or simply a store's surrounding population. This makes it hard to fully evaluate a salesperson, or to spot which workers can teach valuable skills to their peers and improve the whole team.

But what if you could plug a few variables into a statistical model to spot your best sellers? You could then ask the star salespeople to teach coworkers some of their secrets. New research by Rice Business professor Wagner A. Kamakura and colleague Danny P. Claro of Brazil's Insper Education and Research Institute offers a technique for doing this. Blending statistical methods that incorporate both known and unknown factors, Kamakura and Claro developed a practical tool that, for the first time, allows managers to identify staffers with key hidden skills.

To test their model, the researchers analyzed store data from 35 cosmetic and healthcare retail franchises in four South American markets. These particular stores were ideal to test the model because their salespeople were individually responsible for each transaction from the moment a customer entered a store to the time of purchase. The salespeople were also required to have detailed knowledge of products throughout each store.

Breaking down the product lines into 11 specific categories, and accounting for predictors such as commission, product display, time of year and market potential, Kamakura and Claro documented and compared each salesperson's performance across products and over time.

They then organized members of the salesforce by strengths and weaknesses, spotlighting those workers who used best practices in a certain area and those who might benefit from that savvy. The resulting insight allowed managers to name team members as either growth advisors or learners. Thanks to the model's detail, Kamakura and Claro note, managers can spot a salesperson who excels in one category but has room to learn, rather than seeing that worker averaged into a single, middle-of-the-pack ranking.

If a salesperson is, for example, a sales savant but lags in customer service, managers can use that insight to help the worker improve individually, while at the same time strategizing for the store's overall success. Put into practice, the model also allows managers to identify team members who excel at selling one specific product category — and encourage them to share their secrets and methods with coworkers.

It might seem that teaching one employee to sell one more set of earbuds or one more lawn chair makes little difference. But applied consistently over time, such personalized product-specific improvement can change the face of a salesforce — and in the end, a whole business. A good manager uses all the tools available. Kamakura and Claro's model makes it possible for every employee on a sales team to be a potential coach for the rest.

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This story originally ran on Rice Business Wisdom.

Based on research from Wagner A. Kamakura, the Jesse H. Jones Professor of Marketing at Jones Graduate School of Business at Rice University.

Keeping on track with trends is crucial to growing and developing a relationship with your customers, these Rice University researchers found. Getty Images

Rice researcher delves into the importance of trendspotting in consumer behavior

Houston voices

Every business wants to read consumers' minds: what they love, what they hate. Even more, businesses crave to know about mass trends before they're visible to the naked eye.

In the past, analysts searching for trends needed to pore over a vast range of sources for marketplace indicators. The internet and social media have changed that: marketers now have access to an avalanche of real-time indicators, laden with details about the wishes hidden within customers' hearts and minds. With services such as Trendistic (which tracks individual Twitter terms), Google Insights for Search and BlogPulse, modern marketers are even privy to the real-time conversations surrounding consumers' desires.

Now, imagine being able to analyze all this data across large panels of time – then distilling it so well that you could identify marketing trends quickly, accurately and quantitatively.

Rice Business professor Wagner A. Kamakura and Rex Y. Du of the University of Houston set out to create a model that makes this possible. Because both quantitative and qualitative trendspotting are exploratory endeavors, Kamakura notes, both types of research can yield results that are broad but also inaccurate. To remedy this, Kamakura and Du devised a new model for quickly and accurately refining market data into trend patterns.

Kamakura and Du's model entails taking five simple steps to analyze gathered data using a quantitative method. By following this process of refining the data tens or hundreds of times, then isolating the information into specific seasonal and non-seasonal trends or dynamic trends, researchers can generate steady trend patterns across time panels.

Here's the process:

  • First, gather individual indicators by assembling data from different sources, with the understanding that the information is interconnected. It's crucial to select the data methodically, rather than making random choices, in order to avoid subjectively preselecting irrelevant indicators and blocking out relevant ones. Done sloppily, this first step can generate misleading information.
  • Distill the data into a few common factors. The raw data might include inaccuracies, which must be filtered out to lower the risk of overreacting or noting erroneous indicators.
  • Interpret and identify common trends by understanding the causes of spikes or dips in consumer behavior. It's key to separate non-cyclical and cyclical changes, because exterior events such as holidays or weather can alter behavior.
  • Compare your analysis with previously identified trends and other variables to establish their validity and generate insights. Looking at past performance through the filter of new insights can offer managers important guidance.
  • Project the trend lines you've identified using historical tracking data and their modeling framework. These trend lines can then be extrapolated into near-future projections, allowing managers to better position themselves and be proactive trying to reverse unfavorable trends and leverage positive ones.

It's important to bear in mind that the indicators used for quantitative trendspotting are prone to random and systematic errors, Kamakura writes. The model he devised, however, can filter these errors because it keeps them from appearing across different series of time panels. The result: better ability to identify genuine movements and general trends, free from the influence of seasonal events and from random error.

It goes without saying that the information and persuasiveness offered by the internet are inevitably attended by noise. For marketers, this means that without filtering, some trends show spikes for temporary items – mere viral jolts that can skew market research.

Kamakura and Du's model helps sidestep this problem by blending available historical data analysis, large time panels and movements while avoiding errors common to more traditional methods. For managers longing to glimpse the next big thing, this analytical model can reveal emerging consumer movements with clarity – just as they're becoming the future.

(For the mathematically inclined, and those comfortable with Excel macros and Add-Ins, who want to try trendspotting on their own tracking data, Kamakura's Analytical Tools for Excel (KATE) can be downloaded for free at http://wak2.web.rice.edu/bio/Kamakura_Analytic_Tools.html.)

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This article originally appeared on Rice Business Wisdom.

Wagner A. Kamakura is Jesse H. Jones Professor of Marketing at Jones Graduate School of Business at Rice University.

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Microsoft partners with Rice University's OpenStax on AI teaching tool

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Rice University’s OpenStax and Microsoft are partnering to integrate the nonprofit’s content with the tech giant’s AI innovation, known as Learning Zone.

“At OpenStax, our mission is to make an amazing education accessible to all,” Richard G. Baraniuk, founder and director of OpenStax, said in a news release. “That’s why we’re excited to integrate our trustworthy, peer-reviewed content with Microsoft’s AI technology through the Microsoft Learning Zone. Together, we aim to help more instructors and their students access engaging, effective learning experiences in new and dynamic ways. We also share a strong commitment to the thoughtful and responsible application of AI to better ensure all learners can succeed.”

OpenStax is a provider of affordable instructional technologies and is also one of the world’s largest publishers of open educational resources (OER).

Microsoft Learning Zone promises to provide educators and students with “responsible AI technology and peer-reviewed educational content to support learning” on Microsoft Copilot+ PCs. Microsoft Learning Zone works by utilizing on-device AI to generate interactive lessons for students, and its integration with OpenStax content means educators can rely on OpenStax’s digital library of 80 openly licensed titles.

The goal is for educators to create effective and engaging learning experiences safely, thereby bypassing the need to source and vet content independently. Included is a library of ready-to-use lessons, opportunity for immediate feedback and differentiated learning. Educators will maintain control of instructional content and pedagogical strategies and will be able to update or edit lessons or activities prior to sharing them with students.

Other tools included in the Microsoft Learning Zone are additional languages, reading coaching, public speaking help, math and reading progress, and a partnership with the online quiz platform Kahoot!

OpenStax resources have been reported as used across 153 countries, and this current collaboration combines the power and potential of responsible AI usage in education with content that has been utilized by 13,569 K-12 schools and 71 percent of U.S. colleges and universities, according to Rice.

“Through our partnership with OpenStax, we’re combining the power of on-device AI in Copilot+ PCs with OpenStax’s trusted and diverse peer-reviewed content to help educators quickly create high-quality, personalized, engaging lessons,” Deirdre Quarnstrom, vice president of Microsoft Education, added in the news release. “We’re excited about how this collaboration will empower classrooms globally.”

Houston ranks among the 15 best cities in America for 2025

Ranking It

A new national report ranking the best cities in America has declared Houston is the 13th best U.S. city in 2025.

The annual "America's Best Cities" report from Resonance Consultancy, a Canada-based real estate and tourism marketing firm, ranks the relative qualities of livability, cultural "lovability," and economic prosperity in America's principal cities with metropolitan populations of 500,000 or more.

These top 100 cities "brilliantly weave local culture with economic prospects, aligning with global and domestic travel trends to create premier experiences for both residents and travelers."

Houston's new placement is three spots lower than its triumphant No. 10 rank in 2024. Though it no longer holds a prized top-10 spot, the report hails Houston as a "coveted hometown for the best and brightest on earth."

Among Houston's other shining attributes are its booming population growth – which has now grown to a staggering 7.51 million people – plus its competitive real estate market and a vibrant hospitality and culinary scene. Additionally, Houston earned a well-deserved No. 4 rank in the report's "restaurants" subcategory.

"A 221-room Home2 Suites/Tru by Hilton debuted near Toyota Center in March, while Marriott’s newly renovated Residence Inn NASA/Clear Lake keeps surging visitors happy," the report said. "West Houston’s Greenside will convert 35,000 square feet of warehouses into a park-laced retail hub by 2026, while America’s inaugural Ismaili Center, rising along Allen Parkway, remains on schedule for later this year, adding yet another cultural jewel to H-Town’s festival-fueled mosaic."

The report additionally puts a large focus on Houston's innovative energy sector and its numerous large companies that boost the local economy and create thousands of jobs. Several of these Houston-based companies are some of the best places to work, according to U.S. News and World Report.

One such company that was specifically praised in the report was the HyVelocity Hub, which aims to "ensure economic resilience and long-lasting, domestic energy production" along the Gulf Coast.

"The HyVelocity Hydrogen Hub just locked in up to $1.2 billion from the U.S. DOE, targeting 45,000 jobs and slicing 7.7 million tons of CO₂ a year," the report said.

Elsewhere in Texas

Dallas (No. 14) and Austin (No. 15) ranked right behind Houston in the top 20, while San Antonio sank into the No. 41 spot after previously ranking 32nd last year. El Paso also fell from No. 83 in 2024 to No. 100 this year.

Jason McGrath, the executive vice president and head of U.S. Corporate Reputation at Ipsos, said in the report that American cities are proving their resiliency as they are faced with "climate issues, increasing infrastructural demands, and shifting geopolitical landscapes affecting international relations and travel."

"Despite these hurdles, cities are creatively reinventing themselves to shine as examples of cultural vibrancy and innovation, keeping their competitive edge both locally and globally," McGrath said. "Our report shows that the allure of American cities remains strong, thanks to their rich diversity and vast attractions — from natural wonders to buzzing cultural hubs."

The top 10 best cities in America in 2025 are:

  • No. 1 – New York City, New York
  • No. 2 – Los Angeles, California
  • No. 3 – Chicago, Illinois
  • No. 4 – San Francisco, California
  • No. 5 – Seattle, Washington
  • No. 6 – Miami, Florida
  • No. 7 – Boston, Massachusetts
  • No. 8 – Washington, D.C.
  • No. 9 – Las Vegas, Nevada
  • No. 10 – San Diego, California
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This article originally appeared on CultureMap.com.

Houston biosciences company opens new sequencing center for drug development

bioscience breakthroughs

Houston-based Avance Biosciences has launched the Next-Generation Sequencing Center of Excellence, designed to enhance the company’s sequencing capabilities for drug development. Specifically, the facility at the company’s main campus in Northwest Houston will pursue breakthroughs in biologics, cell therapy and gene therapy.

In the drug industry, sequencing refers to studying nucleotides in DNA and RNA molecules. Nucleotides are the building blocks of DNA and RNA.

“This is a major milestone for Avance Biosciences as we continue to support the evolving needs of biologics and cell and gene therapy developers,” Xuening “James” Huang, co-founder, CEO and chief technology officer of Avance, said in a news release. “By consolidating state-of-the-art sequencing platforms and scientific talent, we’ve created a highly capable organization ready to solve complex genomic challenges with precision and compliance.”

In 2013, Avance rolled out next-generation sequencing (NGS) that complies with federal guidelines. Since then, Avance “has remained at the forefront of regulated sequencing services,” the company said. “The launch of the (new center) strengthens the company’s ability to deliver accurate, reproducible, and regulatory-aligned sequencing data across a wide array of therapeutic modalities.”

Cal Froberg, senior vice president of sales and marketing at Avance, said pharmaceutical and biotech clients trust the company’s technical capabilities and regulatory compliance.

“With the ever-changing global landscape and increasing scrutiny around international sample shipments, conducting advanced, cost-effective NGS testing domestically is now more feasible than ever,” Froberg said. “Our clients have confidence that their samples will remain in the U.S.”

Avance, founded in 2010, plans to hold an open house at the new facility in September to showcase its capabilities, technology, talent, and services. The company’s services include sequencing, molecular biology, cell-based testing, and bioanalytical testing.