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Consumer packaged goods companies can improve operations through predictive analytics.

The world of consumer packaged goods is a large and diverse one, with giant international companies and smaller but still competitive businesses offering a variety of product types and price points. The effectiveness and efficiency of everything from product development to distribution, marketing and customer engagement plays an increasingly important role in success, a significant shift for a very established industry.

How can organizations in the consumer packaged goods industry adapt to a marketplace where competitors are becoming more agile and capable? Predictive analytics, deployed through the powerful IBM Cognos suite of solutions, can be the answer.

More effective operations across your business

“Predictive analytics gives companies tools for widespread improvement and success.”

Predictive analytics builds on decades of efforts by businesses in all sectors of the economy to learn more about the details of their operations, whether to make process improvements, enhance forecasting or for a variety of other reasons. By effectively harnessing the large amounts of data generated by a business, related to everything from the acquisition of raw materials to purchasing and sales trends, effective analysis drives positive change.

For companies in the CPG world specifically, using predictive analytics can mean developing better relationships with customers. Progressive Grocer highlighted how the right application of this powerful force can help businesses get closer to the people that buy their products. Through improved forecasting, a deeper understanding of purchasing trends, demographic breakdowns, what-if simulations and other advantages, organizations can develop a better understanding of past efforts and create a more prosperous future.

Ultimately, predictive analytics provide a deeper understanding of both your company’s processes and the customers who purchase products. By fine-tuning a variety of workflows, supply chain models and marketing and engagement efforts, businesses can derive a holistic benefit that does more than target a specific component of the business. Predictive analytics gives companies tools for far more widespread improvement and success.

Aviana’s experience helping CPG companies successfully implement predictive analytics solutions means we understand the unique aspects of the industry. With that knowledge in hand, alongside a strong grasp of the IBM Cognos suite of predictive analytics solutions, we’re confident in our ability to help companies succeed in such a competitive and saturated market. To learn more about our strategy for the CPG world, visit our dedicated industry page.

Posted in Business Intelligence
Michele Harnish

About Michele Harnish

Michele Harnish has extensive experience in marketing and consulting to various industries. Her professional resume includes both corporate and field marketing executive roles. Her former role as Senior Director of Field Marketing at Cognos Corporation allowed her to leverage her strong corporate marketing background as she managed a large team of field marketing managers and business development managers and was solely responsible for lead generation across North America. In 2009, Michele joined Aviana Global and continues to leverage her unique approach to marketing which incorporates the branding and strategy of corporate marketing with the results driven lead generation power in field marketing. Michele enjoys spending time with her husband and four boys in Orange County, California.
Using predictive analytics to better assess risk is a major advantage for the financial services industry.

The financial services industry is a diverse one, with plenty of different institutions and businesses offering a wide variety of products and services. Of course, those offerings are ultimately based on common factors like risk assessment and the suitability of those items for individual customers, whether businesses or individuals.

The most effective way to determine those risk factors and inform your institution’s final decision about a specific client is through data. With efficient analysis and automation designed to give users actionable and useful results, predictive analytics can benefit the entire process. By using powerful, focused business intelligence software solutions like the IBM Cognos suite of products, businesses in the financial services field can position themselves to take better, more productive risks.

One less-traditional area of growth to consider is in marketing, where the same analytical power can be brought to bear for improvements in outreach and connecting with desirable clients.

Improving financial services marketing through effective analysis

“Financial services marketing can be more targeted through predictive analytics.”

Marketing is a universal concern, but the financial services industry has to take many more factors into account than a clothing store or supermarket. As industry publication The Financial Brand pointed out, the prevalence of so much data about individual clients as well as the customer base as a whole means new avenues for marketing. Consider these benefits of a marketing strategy that incorporates predictive analytics:

  • Marketing that focuses on good matches between products and customers, instead of a mass-market approach that can attract interested parties that don’t represent good risks.
  • More specific and granular outreach and relationship development.
  • The potential for better returns through more effective and engaging marketing – customers will come to learn that a new offer or other communication is likely relevant to them.

These benefits don’t just lead to more efficient and purposeful marketing efforts, they also lead to a better relationship with customers. Perhaps most importantly, with some risk analysis performed before an offer is even extended to a customer, there’s less burden to place on staff in the moment.

Working with an industry leader

Aviana has both the knowledge and experience to help financial institutions deploy predictive analytics solutions in a way that provides the most relevant and targeted benefits. To learn more about our work in the industry, visit our dedicated industry page and read the case study about our work with Stearns Lending to learn more.

Posted in Business Intelligence
Mark Ishikawa

About Mark Ishikawa

Mark Ishikawa is a managing partner with Aviana managing all sales and marketing activities. Mark is a successful and seasoned sales and marketing executive with over 16 years of strategic solution selling, team building and executive positioning in the enterprise solution and consulting industry. Mark’s most recent position since joining Aviana was a Partner with Ineum Consulting where he was responsible for growing the business with aggressive revenue targets as well as customer acquisition of new business. He also worked to improve the firm’s people development and retention while being responsible for recruiting and development of all staff. Mark enjoys coaching youth sports, playing golf & traveling. Mark and his wife live in Orange County, California with their three boys.
Offering the right upgrades to the right guests can pay off for the hospitality industry.

For hospitality businesses, creating the best guest experience possible is a constant, high-priority objective. With so many resources already invested in researching and crafting the kind of environment that keeps visitors coming back time after time, how can businesses in the hospitality industry improve? Using business intelligence software, like the IBM Cognos suite of solutions, can provide businesses with actionable insights based on effective, in-depth analysis of a variety of existing business information.

Offering more attractive environments and amenities through effective analysis

“Creating the best experience possible for guests is a constant, high-priority objective.”

One key element of creating a better guest experience is connecting visitors with the potential upgrades and other offerings that appeal the most to their desires and sensibilities. Not only does it create more opportunities for your business to profit, it crafts a more positive experience. With a sense that the company cares about their interests and not just making more money, guests develop a more positive relationship with your organization.

As travel news site Tnooz pointed out, Hyatt Hotels saw substantial gains through a system that leveraged predictive analytics to increase the relevancy of post-reservation upsell opportunities. The company’s average incremental revenue per room, post-reservation, rose 60 percent year over year. The key to the program’s success was the use of predictive analytics to sift through data and find relevant offerings for guests – an efficient and effective approach.

Aviana has the industry-specific knowledge and experience to help businesses in the hospitality world develop the most effective and useful applications of predictive analytics. To learn more about our work in this market, visit our dedicated industry landing page, as well as case studies about the success realized in our partnerships with industry giants like MGM Global.

Posted in Predictive Analytics
John Martin

About John Martin

After several years of continued excellence in performance as a top producer at Aviana, John Martin is now the Vice President of Sales. As the founder of three prior startups, Mr. Martin has applied his entrepreneurial experience and background in marketing and technology to help organizations evaluate and implement enterprise software solutions for the last 20 years. Mr. Martin’s success can be credited in part to his dedication to putting the customer first and relentlessly striving to deliver excellence in all areas. Mr. Martin earned his bachelor’s degree in speech communications with a minor in computer programming from Point Loma Nazarene University. John lives in Carlsbad, California with his wife and two children.
Manufacturers can gain greater insight through big data and predictive analytics.

Manufacturing as a whole includes a number of conditions that make the use of big data and predictive analytics especially effective. From the many controlled, internal processes involved in sourcing raw material and producing finished products, to the management of some or all elements of the supply chain, the manufacturing world is rife with workflows that lend themselves to improvement through big data and predictive analytics.

How can companies benefit from implementing these advanced analytical solutions or improving the current state of such platforms? There are many options, but one of the most expansive is greater insight into operations and the enhanced decision making that comes with with better intelligence from platforms like the IBM Cognos suite of solutions.

Manufacturers can benefit greatly from predictive analytics.
Manufacturers can benefit greatly from predictive analytics.

More information means improved decision-making

Big data and predictive analytics offer not only the tools to gain more insight into operations, but for making more effective decisions about future work. By tracking metrics such as cost and utilization of raw materials, for example, businesses can determine more efficient sizes for future orders and examine price comparisons for any alternatives that may exist.

Through extensive, automated analysis of information about production of finished items and sales, companies can look for one-time, long-term and seasonal trends before the market starts to shift, meaning changes to operations can be made ahead of time. The prevalence of information in the manufacturing world means greater insight and confidence when making decisions through the power of big data and predictive analytics.

Manufacturers need the right support to effectively deploy a big data solution and reap the benefits. Aviana understands the many unique elements of the industry and has a proven track record helping manufacturers large and small become more efficient through the use of big data and predictive analytics. To learn more, visit our dedicated industry page.

Posted in Business Intelligence
Francois Ross

About Francois Ross

François has been managing software sales and delivery of Business Analytics and Information Management solutions for more than 25 years. Prior to joining Aviana, his name has been predominant within the IBM Cognos analytics space. Leveraging a strong technical background, elite demonstration capabilities, and understanding of Big Data Analytics proven practices, he has brought thought leadership in the most active clients and organizations. His passion and mission statement: delivering the most impactful data to the best user experience through the art of possible.
Choosing the right price can lead to significant benefits for retailers.

Predictive analytics is an especially powerful tool for businesses, one that automates much of the heavy lifting required to extract value from data and conduct analysis that provides useful and applicable results. With constantly shifting demands a hallmark of the retail industry, predictive analytics can create fundamental positive changes to the way companies do business.

Effectively utilizing business intelligence software like the IBM Cognos suite of solutions gives merchants the ability to set more effective prices, better understand customers and increase opportunities for success.

More effective pricing is a reality through predictive analytics

“Setting price points is a vital consideration for all retailers.”

Setting price points is a vital consideration for businesses ranging from convenience stores to high-end fashion retailers. The right price attracts the most business while taking the wholesale cost of goods, break-even points and many other financial matters into consideration. What’s more, the right price for one physical location or single type of ecommerce consumer may not be be the optimum one for other locations or shoppers.

Dynamically changing price points in response to many different factors can boost sales and lead to generally better outcomes. How can businesses take advantage of this approach?

As the Harvard Business Review detailed, predictive analytics plays a central role in enhancing pricing efforts and developing the best possible price points whether businesses operate online, in brick-and-mortar stores or through both channels.

By effectively gathering data related to a variety of consumer metrics, from demographic information to interactions in digital and physical stores, businesses gain deeper insight into the preferences, spending power, interests and needs of their customers.

With a more detailed and accurate picture of shoppers in hand, businesses can create more informed prices for products and, when the opportunity arises, change them as necessary. Whether that means different prices in various storefront locations or sliding scales for different categories of ecommerce customers, businesses can become more accurate and specific in how they price their wares and reap the benefits.

Finding the right predictive analytics partner

Businesses need knowledgeable and experienced partners to help them develop the most effective solution possible, taking their specific needs and more general best practices and similarly important concepts into account. Aviana knows how to create successful relationships and results within the retail industry, having aided many companies in their quest to successfully implement predictive analytics. To learn more, visit our dedicated industry page.

Posted in Business Intelligence
Mark Ishikawa

About Mark Ishikawa

Mark Ishikawa is a managing partner with Aviana managing all sales and marketing activities. Mark is a successful and seasoned sales and marketing executive with over 16 years of strategic solution selling, team building and executive positioning in the enterprise solution and consulting industry. Mark’s most recent position since joining Aviana was a Partner with Ineum Consulting where he was responsible for growing the business with aggressive revenue targets as well as customer acquisition of new business. He also worked to improve the firm’s people development and retention while being responsible for recruiting and development of all staff. Mark enjoys coaching youth sports, playing golf & traveling. Mark and his wife live in Orange County, California with their three boys.
Predictive analytics can give healthcare providers a meaningful edge in patient care.

Medicine has a long history of changing and improving significantly as time goes on. While the current state of medicine is already a powerful one that helps a variety of patients dealing with many different conditions, that’s not to say there isn’t room for further development. Just as discoveries like sanitation and sterilization, antibiotics, X-rays and MRI have changed the face of medicine, so can predictive analytics. With solutions like IBM’s Cognos suite available to help healthcare facilities improve patient care and operate more effectively as businesses, creating benefits for both patients and providers.

Making the most of a powerful data source

“Electronic health records are a source of valuable data for predictive analytics.”

The Harvard Business Review pointed to the power of electronic health records as a source of valuable data for analysis and application. With EHR requirements in full effect and many providers already using them, their digital nature makes them far better suited for predictive analysis than the paper records used in the past.

Providers can use business intelligence software to harness algorithms that look at their patient base, as well as subsets of that group to find patterns, risk factors and other valuable types of medical information. Additionally, individual providers can work with other facilities to develop broader databases and seek out larger, more general trends and patterns.

With the data available and predictive analytics able to turn relatively raw information into actionable and useful insights, healthcare providers can take a more proactive stance in terms of identifying potential issues and communicating them to patients. A series of risk factors that make a patient predisposed to a certain disease or condition can be identified before the problem arises and the patient is negatively affected, creating a better overall outcome in terms of health. That concept can be applied to individual patients and larger groups, as long as enough data is available for algorithms to function appropriately.

Aviana understands not only the core concepts of predictive analytics and big data, but how the concepts and applications can function specifically in the healthcare world. Our experience developing effective, successful predictive analytics solutions for providers means we understand how to fine-tune implementations to match the unique and specific needs of individual facilities. To learn more about our work in the healthcare field, visit our dedicated industry page.

Posted in Business Intelligence
Michele Harnish

About Michele Harnish

Michele Harnish has extensive experience in marketing and consulting to various industries. Her professional resume includes both corporate and field marketing executive roles. Her former role as Senior Director of Field Marketing at Cognos Corporation allowed her to leverage her strong corporate marketing background as she managed a large team of field marketing managers and business development managers and was solely responsible for lead generation across North America. In 2009, Michele joined Aviana Global and continues to leverage her unique approach to marketing which incorporates the branding and strategy of corporate marketing with the results driven lead generation power in field marketing. Michele enjoys spending time with her husband and four boys in Orange County, California.
elite analytics aquisition

BREA, California., June 7, 2017 – Aviana Global Technologies, Inc., announces the acquisition of Elite Analytics, the Texas based data sciences and predictive analytics specialists. This acquisition is a significant step towards achieving Aviana’s objective of becoming a premier business solutions company that employs cutting edge technologies to solve critical, complex business problems for their clients.

Elite’s focus and success in data mining and predictive analytics, has earned it a best in class status in the IBM and Open Source world. During its 14 years of successful operation, Elite Analytics developed a variety of predictive analytics solutions for major tax agencies in North America. Some of the largest-scale projects included solutions crafted specifically for the needs of the California Franchise Tax Board and the Department of Taxation and Finance for New York State in the areas of fraud detection and program integrity using predictive analytics.

Elite’s proprietary anomaly detection engine makes possible the development of a wide variety of potential applications for many different businesses, providing companies with deeper insight into operational efficiencies and revenue growth opportunities.

“This acquisition is a natural fit with Aviana’s solid foundation in data management, performance management and BI,” said Daniele Micci-Barreca, co-founder of Elite. “Our expertise in data science and predictive analytics increases the value of the solutions we will be able to bring to our customers.”

For Aviana, the acquisition of Elite Analytics means even more robust and well-rounded business solution based service offerings. “We are excited at the spectrum of possibilities this merger will provide Aviana and its clients,” said Avijit Datta, Aviana co-founder. “Elite’s depth of knowledge in predictive analytic applications especially in the fraud and abuse prevention and identification areas opens up a whole new avenue that we are looking forward to excel in.”

Aviana Global Technologies is a Predictive Performance Management company with a successful track record since our inception in 1994. Our mission is to partner with our clients, empowering them to become more profitable and strategic through the optimal use of performance management for executive and operational decision-making power. For the last 20 years, Aviana has stood at the forefront of leading-edge performance management solutions with an impressive array of clients. They include many Fortune 1000 companies in industries from hospitality and gaming, manufacturing and financial services to retail and health care. For more information, visit www.avianaglobal.com.

Posted in Company
avijit datta

About avijit datta

Avijit Datta is a founding partner of Aviana Global Technologies, Inc. Mr. Datta has over twenty five years in the IT industry in India and in the US. He has held various positions as CIO, VP – Application Development and Managing Director in the software industry.
Many supply chain management concerns can be improved with the right application of predictive analytics.

For all manufacturers, the supply chain is at the heart of operations. Whether providing raw materials and components for use in making wares or ensuring finished products are efficiently distributed, the supply chain drives the short- and long-term success throughout the industry. Gaining a stronger handle on the many elements of the supply chain can mean more effective operations, less waste, lower costs and a host of other benefits. A key element for improving this vital process is the effective use of predictive analytics, like the IBM Cognos suite of solutions, for effective, data-driven analysis and change.

Maximizing efficiency

"The supply chain is at the heart of manufacturing operations."

The supply chain has been a major focus of a variety of development and improvement efforts for decades. A wide range of technological innovations and process changes have made the work involved more streamlined and productive. However, there's still room for improvement, especially when using the perspective provided by predictive analytics.

The depth of insight and sheer volume of informational analysis offered through the IBM Cognos group of solutions can mean new approaches and novel methods of reducing costs and improving outcomes. Improved forecasting, one of the core elements of a successful approach to predictive analytics, offers some unique advantages. Businesses can make changes when they provide the greatest advantages, and move between the variety of options inherent in the supply chain as necessary, bringing the price of transport and handling down further.

As Industry Week pointed out, the application of modern, mature predictive analytics to the supply chain is a step forward in effective analysis. While gathering large amounts of data is a major consideration and necessary for significant changes to occur, analysis was time-consuming and difficult to conduct in an organized, holistic way without the power of predictive analytics involved. Now, manufacturers have the tools to both gather the data and draw useful, multifaceted analysis from it.

Aviana's work with manufacturers and throughout the broader realm of heavy industry means we're ready, willing and able to not only help businesses in the field, but understand their wants, needs and current situations as well. Our experience and skill allows us to craft solutions for a wide variety of problems and potential opportunities, whether involving the supply chain, production, resource management and a variety of other core operational concerns. To learn more, visit our dedicated industry landing page.

Posted in Predictive Analytics
Michele Harnish

About Michele Harnish

Michele Harnish has extensive experience in marketing and consulting to various industries. Her professional resume includes both corporate and field marketing executive roles. Her former role as Senior Director of Field Marketing at Cognos Corporation allowed her to leverage her strong corporate marketing background as she managed a large team of field marketing managers and business development managers and was solely responsible for lead generation across North America. In 2009, Michele joined Aviana Global and continues to leverage her unique approach to marketing which incorporates the branding and strategy of corporate marketing with the results driven lead generation power in field marketing. Michele enjoys spending time with her husband and four boys in Orange County, California.
CPG manufacturers can gain a lot from an improved approach to forecasting.

Consumer packaged goods represent an established market sector, one that captures the attention of a sizeable majority of the general public and will continue to for some time to come. With a strong foundation and brands that have a high level of recognition among shoppers, the CPG market is an indelible part of the shopping experience. However, with this segment of the economy full of large and established companies, competition is growing fiercer. How can product-makers stand out and generate more sales? Predictive analytics is a major part of the puzzle.

Predictive analytics provides stronger, more unifying insight

"The CPG market is an indelible part of the shopping experience."

The most powerful and effective predictive analytics tools, like the IBM Cognos suite of solutions, help CPG businesses drill down and learn more about customers and how new and existing products appeal to them. The IBM Big Data & Analytics Hub said a trend among CPG manufacturers and other companies is an advance in forecasting, called what-if scenario analysis. This approach moves beyond creating a single picture of potential future opportunities and concerns to create a series of forecasts based on differences in customer interest, regional markets, product variations and much more. The end result is more useful visualizations of the future than can be leveraged in a variety of specific contexts.

Using the same relevant data for each scenario analysis – and across all areas of operation – is another consideration CPG businesses have to make. The effectiveness of forecasting is significantly hampered when different data sets are used at various points in the process. This process is common across a number of businesses, but does little except make results less stable and accurate. Ensuring that this thorn in the side of effective analysis is removed and the resulting forecasting is all based off the same data is critical to success, especially when using a what-if forecasting model.

Aviana offers our partners plenty of experience and aptitude in terms of predictive analytics, big data and similar advanced techniques that help businesses make operations more effective and efficient. Our past work with businesses in the CPG market means we don't only understand the ins and outs of predictive analytics, but we also have a strong grasp on how they specifically fit into the operations of CPG manufacturers. To learn more, visit our dedicated industry page.

Posted in Business Intelligence
Michele Harnish

About Michele Harnish

Michele Harnish has extensive experience in marketing and consulting to various industries. Her professional resume includes both corporate and field marketing executive roles. Her former role as Senior Director of Field Marketing at Cognos Corporation allowed her to leverage her strong corporate marketing background as she managed a large team of field marketing managers and business development managers and was solely responsible for lead generation across North America. In 2009, Michele joined Aviana Global and continues to leverage her unique approach to marketing which incorporates the branding and strategy of corporate marketing with the results driven lead generation power in field marketing. Michele enjoys spending time with her husband and four boys in Orange County, California.
The hospitality industry can gain a lot from predictive analytics.

Addressing the needs of each and every customer is a top priority for high-performing businesses in the hospitality industry. While the basic desire of most hotel guests is the same – to have a place to sleep and store their belongings – there are uncountable variations that exist beyond this foundational desire.

Some guests will want to make use of many different hotel facilities and offerings, be it lounging by the pool, taking a trip to the spa or using a well-supplied gym room. Others will want to do little beyond use the bed at night and keep their clothes and other items safe.

How can hospitality businesses better define and understand the differences between each customer and effectively appeal to all of them? A big part of the answer lies in predictive analytics.

Effective differentiation and personalized appeals

"Understanding customer desires is critical for success."

Understanding customer desires, both in the present and future, is critical for success. Knowing when, how, why and where to appeal to them, be it through personalized marketing or a larger, mass-market approach, can mean the difference between occupied rooms and empty ones.

As eHotelier pointed out, a major gain for hotels in terms of appealing to customers more effectively can come through big data. The sheer amount of information regarding customer preferences, decision-making, past experiences and other relevant metrics is larger now than it has ever been in the past.

Using the right dimensions of information captured during previous visits means better marketing with more positive results. Business intelligence software, like the IBM Cognos suite of products, gives hospitality organizations the tools they need to conduct effective analysis and reach out to customers in ways that increase engagement and fill rooms.

Additionally, eHotelier said guests are growing accustomed to personalized experiences, to one degree or another, because they're becoming more common in everyday life. Businesses that can offer these relevant and enticing experiences have a distinct edge over those that don't.

Aviana has the hospitality industry experience to provide effective solutions for hotels and similar businesses in the market, with a focus on creating more effective customer outreach. Our past efforts, working with major hotel and casino groups like MGM Resorts International, mean we have a deep understanding of the unique aspects of hospitality and the ability to use big data and predictive analytics to improve performance. To learn more, check out our video on the topic.

Posted in Business Intelligence
Francois Ross

About Francois Ross

François has been managing software sales and delivery of Business Analytics and Information Management solutions for more than 25 years. Prior to joining Aviana, his name has been predominant within the IBM Cognos analytics space. Leveraging a strong technical background, elite demonstration capabilities, and understanding of Big Data Analytics proven practices, he has brought thought leadership in the most active clients and organizations. His passion and mission statement: delivering the most impactful data to the best user experience through the art of possible.