We talk a lot on these pages about how data quality affects your business. But once in a while, we also feel it is important to look at how data quality affects society as a whole. And one of the best examples of this in recent memory is the upcoming 2020 United States Census.

Every 10 years, the United States goes through a demographic headcount of its inhabitants. The results of this survey are pretty far-reaching, involving everything from how the Federal government allocates more than $600 billion in funding to who represents you in Congress. But this year, for the first time ever, technology and data quality loom among the biggest issues facing the next Census.

2020 Census Data Quality Doubts

These concerns are serious enough that the American Academy of Family Physicians, a healthcare advocacy organization, recently introduced a resolution entitled “Maintaining Validity and Comprehensiveness of U.S. Census Data” that has now been accepted by the American Medical Association together with other healthcare groups. It breaks down a number of data quality concerns currently facing the Census, including the following:

• This will be the first year that a majority of responses are planned to be collected online, introducing possible sources of data error.
• Sampling and data quality errors may disproportionately affect vulnerable populations subject to health care disparities, such as minorities and women.
• In addition to human and data errors, there are concerns that mistrust of technology and privacy may prevent some people from completing the Census survey.
• Above all, there are concerns over the impact of scaled-back funding for the 2020 Census, together with the departure of its director, in terms of how this will affect preparations for new technologies and survey methods.

Where Data and Politics Converge

It isn’t just stakeholders like healthcare providers who are raising a red flag about the next Census: the government itself shares many of the same concerns. In its 2020 Census Operational Plan, the U.S. Department of Commerce points to data quality as one of its key program-level risks, stating that “If the innovations implemented to meet the 2020 Census cost goals result in unanticipated negative impacts to data quality, then additional unplanned efforts may be necessary in order to increase the quality of the census data.”

This is a case where political issues also intersect with data concerns: in addition to the ongoing battle over funding levels for the 2020 Census, others have raised concerns over a proposed new citizenship question that is potentially a hot button for areas with large Hispanic and immigrant populations. According to the Brookings Institute, both of these issues may have far-reaching impacts on the quality of this next decennial Census, and recently the Attorney Generals of several states drafted a joint letter raising these as potential quality issues.

The Impact of Contact Data Quality

Finally, in an area near and dear to our hearts, the 2020 Census serves as an example of where contact data quality will have a huge impact on both costs and quality – because many addresses change over the course of a decade, and the current practice of canvassing non-responders on foot (up to six times) can be costly, time-consuming and error-prone. In 2015 the government responded to this issue by conducting address validation tests across a limited population sample, and to be fair, they must also contend with many non-standard locations (such as people living in basements, illegally subdivided units, or homelessness). But clearly, accurate address validation and geolocation will loom larger than ever for the census of the future.

These concerns are examples of some of the potential social impact of data quality issues, as society bases more of its decisions and funding choices on collected data. At a deeper level, they point to a world where data scientists may even ultimately have as much impact on these social issues as politicians and voters do. Either way, technology is playing more of a role than ever in social change.

The takeaway for all of us – in business, and increasingly in life itself – is that our world is increasingly becoming data-driven, and paying strategic attention to the use of this data is going to become progressively more important over time. And in the near future, this will include making sure that every American is accurately and properly counted in the next Census.

The golden rule of marketing has always been, “know your customer.” In today’s regulatory environment, however, it might be more accurate to say, “know your customer – or else!” Nowadays customer data – particularly in areas such as geocoding and demographic data – are often central to maintaining compliance with a wide range of regulations, in the financial world and elsewhere.

In response to this, Service Objects has just released a powerful new capability to help automate the gathering and analysis of geolocated consumer data: Address Insight – US. It provides address standardization, address geocoding and demographic information together in one real-time service, and is designed to serve a wide range of applications ranging from compliance to targeted marketing.

Examples of financial compliance issues

Let’s look at some of the areas where address insight can benefit your compliance efforts:

• The Community Reinvestment Act (CRA) requires federally insured lending institutions to provide lending opportunities to low-to-moderate income communities – and in particular, prove that they are not “redlining” specific neighborhoods and denying them credit. One of the key performance criteria for evaluating CRA compliance is your geographic distribution of loans.
• The Home Mortgage Disclosure Act (HMDA), enacted by Congress in 1975, requires lenders to publicly disclose data regarding their mortgage lending activities. While this is a disclosure law with no implied quotas, HMDA also serves to ensure that lenders do not contribute to the decline of specific geographic areas by failing to provide adequate mortgage financing.
• For consumer lending in general, the Federal Financial Institutions Examination Council (FFIEC) has a set of Fair Lending Examination Procedures used to audit lenders for evidence of lending discrimination. These reviews include an analysis of geographic patterns in lending to seek evidence of “redlining” or neighborhood-based discrimination.
• Conversely, certain real estate transactions may be subject to Geographic Targeting Orders (GTO), which are enhanced identification and record-keeping requirements imposed by the Federal Financial Crimes Enforcement Network for expensive real estate transactions in areas that are prone to money laundering activities. For example, as of 2017 transactions of $3 million or more in Manhattan or $1 million or more in parts of Florida were subject to GTOs, along with numerous other metropolitan areas.

A solution for compliance and beyond

Of course, there are numerous applications beyond compliance for geocoded address insight. For example, academic researchers can use address insight to study specific neighborhoods – for example, the University of Chicago divides the city of Chicago into 75 defined communities that correlate with tract information, and can be used as study variables. And of course, the combination of location insight and demographic data can be a very powerful tool for market targeting.

For compliance applications, Service Objects’ Address Insight – US provides data such as MSA code, state code, county code (FIPS), and tract number for addresses for FFIEC compliance. It also includes all the benefits of Service Objects’ flagship address validation and standardization capabilities, as well as appended demographic information such as household values and incomes by ZIP code.

As with all Service Objects services, Address Insight – US is available through APIs that can be interfaced directly to most contact data automation platforms, as well as convenient batch list processing for smaller applications or specific datasets. Contact us for a free 500-transaction trial key, and see what this new tool can do for you!

What is location intelligence, or LI for short? According to geomarketing firm Carto, it is the process of transforming location data into business outcomes. Today LI has become a very hot field, with projected revenues of over US $16 billion by 2021.

You probably use location intelligence in your business already, perhaps without even knowing it. If you sell to specific geographic markets, have seasonal variations in your sales patterns, or market to a targeted demographic, location data is probably part of your marketing mix. This is how we avoid pitching winter coats to people in Hawaii, or selling farming tools on Wall Street. But its applications now go far beyond marketing, into nearly every aspect of modern commerce.

How Location Intelligence works

Today’s LI works by marrying the benefits of geocoding and big data. It turns address data into exact latitude and longitude coordinates that frame information such as its census tract and usage, which in turn can be linked with associated data such as demographics, zoning, or spending patterns.

In much the same way that CRM provides you with a wealth of customer-based insight, LI can add the power of this accumulated location-based data to your business decisions. Here are some examples:

Compliance: Geospatial data can form an integral part of documenting compliance with regulations targeted at specific demographics or geographic areas. For example, the banking industry’s Community Reinvestment Act (CRA) and Equal Credit Opportunity Act (ECOA) require lenders to support the needs of lower and middle income borrowers as well as avoid discriminatory lending practices. And in another example, one of New York State’s largest cable providers was recently ordered to leave the state over charges of breaking commitments to roll out broadband services to rural areas.

Fraud prevention: Your bank receives a loan application from a new customer with a swanky business park address – which actually turns out to be an abandoned industrial area. Or the loan proceeds are being spent in areas of high drug trafficking or known financial crime. According to fintech expert Kenneth Goodwin, these are just two examples of how location intelligence can prevent or investigate financial fraud.

Targeted marketing: Once upon a time, companies decided where to place a billboard based on counting how many cars drove by. Today, according to ESRI’s Marianna Kantor, the out-of-home (OOH) advertising market – encompassing everything from news kiosks to municipal buses – can tap into a rich array of anonymized financial and demographic data, fed by everything from GPS data to smartphone use. At a broader level, location intelligence promises to vastly improve the granularity with which marketers can target their efforts using any channel.

Location-based offers: Suppose you walk into a ballpark, and a text message pops up on your phone offering discounts on a seat upgrade or in-game video highlights. This isn’t science fiction: it’s happening today with real-time applications such as Major League Baseball’s Ballpark smartphone app, which links ticket purchases and geospatial data to customize the live baseball experience. In the future, the potential to customize location-based customer experiences is nearly unlimited.

Putting Location Intelligence at your fingertips

Want to quickly add the power of location intelligence to your contact data processing? Service Objects offers capabilities such as Address Geocoding, which turns US or Canadian addresses into geolocation coordinates and associated data including census tract, county and block codes, and proximity to water, as well as our GeoPhone and GeoPhone Plus services that work from your telephone contact data. Use them as standalone services, or link them with other address-based data tools such as block-level demographics for a broader picture.

Any of these tools can be integrated directly into your marketing or CRM platform via a real-time API, or via a convenient batch interface for smaller applications. And you can try them out for free right now on our website, with no registration required.

What do you think of when you hear the term “artificial intelligence” (or AI for short)? For many people, it conjures up images of robots, science fiction, and movies like “2001 – A Space Odyssey,” where an evil computer wouldn’t let the hero back on his spaceship to preserve itself.

Real AI is a little less dramatic than that, but still pretty exciting. At its root, it involves using machine learning – often based on large samples of big data – to automate decision-making processes. Some of the more public examples of AI are when computers square off against human chess masters or diagnose complex problems with machinery. And you already use AI every time you ask your phone for directions or a spam filter keeps junk mail from reaching your in-box.

In the area of contact marketing and customer relationship management, some experts are now talking about using AI for applications such as predictive marketing, automated targeting, and personalized content creation. Many of these applications are still in the future, but product introductions aimed at early adopters are already making their way to the market.

Data Quality is Key in AI

One thing nearly everyone agrees on, however, is that data quality is a potential roadblock for AI. Even a small amount of bad data can easily steer a machine learning algorithm wrong. Imagine, for example, you are trying to do demographic targeting – but given the percentage of contact data that normally goes bad in the course of a year, your AI engine may soon be pitching winter coats to prospects in Miami.

Here are what some leadership voices in the industry are saying about the data quality problem in AI:

• Speaking at a recent Salesforce conference, Leadspace CEO Doug Bewsher described data quality as “AI’s Achilles heel,” going on to note that its effectiveness is crippled if you try using it with static CRM contact data or purchased datasets.
• Information Week columnist Jessica Davis states in an opinion piece that “Data quality is really the foundation of your data and analytics program, whether it’s being used for reports and business intelligence or for more advanced AI and related technologies.”
• A recent Compliance Week article calls data quality “the fuel that makes AI run,” noting that centralized data management will increasingly become a key issue in preventing “silos” of incompatible information.

The ROI of Accurate and Up-to-Date Contact Data is Larger than Ever

Naturally, this issue lies right in our wheelhouse. For years, we have been preaching the importance of data quality and data governance for contact data – particularly given the costs of bad data in time, human effort, marketing effectiveness, and customer reputation. But in an era where automation continues to march on, the ROI of good contact data is now growing larger than ever.

We aren’t predicting a world where your marketing efforts will be taken over by a robot – not anytime soon, at least. But AI is a very real trend, one which deserves your attention from here. Some exciting developments are on the horizon in marketing automation, and we are looking forward to what evolves over the next few years.

Find out more about how data quality and contact validation can help your business by visiting the Solutions section of our website.

In a world of big data, information for sale, and people oversharing on social media, this past decade has lulled many marketers into believing in a post-privacy era of virtually unfettered access to consumer and prospect data.

Even consumers themselves share this perception: according to an Accenture survey, 80% of consumers between the ages of 20 and 40 feel that total digital privacy is a thing of the past. But today this Wild West scenario is becoming increasingly regulated, with growing constraints on the acquisition and use of people’s personal data. Directives such as the European Union’s GDPR and ePrivacy regulations, along with other initiatives around the globe, are ushering in a new landscape of privacy protections.

Much has been written about how to comply with these new regulations and avoid penalties, on this blog and elsewhere. But this new environment is also a marketing opportunity for savvy organizations. Here, we examine some specific ways you can position yourself to grow in a changing world of privacy.

Leverage Data Quality With These Five Key Marketing Strategies

Be transparent. In their 2018 State of the Connected Customer survey, Salesforce.com found that 86% of customers would be more likely to trust companies with their information if they explain how it will provide them with a better experience.

Offer value. The Accenture survey mentioned above notes that over 60% of customers feel that getting relevant offers is more important than keeping their online activity private, with nearly half saying that they would not mind companies tracking their buying behavior if this led to more relevant offers.

Give customers what they want. According to European CRM firm SuperOffice, the post-GDPR world represents an opportunity to create segmented customer lists, through techniques such as separate website pop-ups for different areas of interest and content marketing via social media.

Look at the entire customer life cycle. Many firms offer a one-time free incentive, such as a report or webinar, in exchange for contact data and marketing permission. However, this can lead to fraudulent information being offered to get the goodie (we can help with that), or even a real but never-checked “wastebasket” email address. Instead, consider offering a regular stream of high-value information that keeps customers connected with your brand.

Change your perspective. This is perhaps the most important strategy of all: start looking at your customers as partners instead of prospects. Recent regulations are, at their root, a response to interruptive marketing strategies that revolve around bugging the many to sell to the few. Instead, focus on cultivating high-value client relationships with people who want products and services you offer.

More Consumer Privacy Can be a Good Thing

Whether businesses are ready or not, they are increasingly facing a world of marketing to smaller prospect lists of people who choose to hear from them for specific purposes, starting with Europe and spreading elsewhere. But this can be a good thing, and indeed a market opportunity. By changing your selling focus from a numbers game to one of deeper and mutually beneficial customer relationships, you can potentially gain more loyal customers and lower marketing expenses. In the process, this new era of consumer privacy could possibly end up being one of the best things that happen to your business.

Protecting your customers’ privacy and creating a mutually beneficial relationship starts with having the most genuine, accurate and up-to-date data for your contacts.  Download our white paper, Marketing with Bad Contact Data, to learn more about how quickly customer data ages and the impact on your business.

Being based in the college town of Santa Barbara, California, we notice something interesting: the students seem to get younger every year. Of course, it is actually our own ages that continue to change. But this illusion contains a valuable marketing lesson for all of us.

The Rise of the Generational Customer

According to the latest State of the Connected Customer survey from Salesforce.com, consumers really are getting younger, as markets shift over time from older customers such as Baby Boomers to Generations X/Y and the Millennials. In fact, this year marks the first time that adult consumers exist who have never lived in the 20th century.

This trend means a lot more than having customers who don’t remember the 9/11 attacks, or realize that Paul McCartney was in a band before Wings. Some of the key points from this survey include:

• Millennials and Generation Z live in an omnichannel world, using an average of 11 digital channels versus nine for traditional/Baby Boomer customers.
• Nearly twice as many Millennials prefer to use mobile channels versus traditional/Baby Boomer customers (61% versus 31%), with 90% of Millennials using this channel versus 72% of older customers.
• Traditional and Baby Boomer customers use less technology than their younger counterparts, but they aren’t dead yet: over 70% of them use channels such as mobile, text/SMS, and online portals and knowledge bases. However, usage falls off sharply with age for newer channels such as social media and voice-activated personal assistants like Siri and Alexa.
• Between 77% and 86% of survey respondents believe that technologies such as chatbots, voice-activated assistants, and the Internet of Things (IoT) will transform their expectations of companies. The most important ones? AI and cybersecurity, at 87% each.
• Over two-thirds of all consumers surveyed (67%) prefer to purchase through digital channels.

Overall, one of the key takeaways from this survey was the growing importance of customer experience. Eighty percent of respondents stated that the experience provided by a company was every bit as important as its products and services. This in turn involves greater connectivity between companies and their customers, with 70% of customers noting that connected processes are very important to winning their business.

It All Comes Down to Data

What does this mean for the future of marketing? For one thing, it is clearly becoming more data-driven. While your oldest consumers still remember ordering from catalogs, your youngest ones expect to engage you on your tablets and smartphones, with little tolerance for error. This also means that both your marketing and your customer service are increasingly becoming electronic.

We welcome this trend at Service Objects: our company was originally founded in 2001 around reducing the waste stream from direct mail. But this trend also creates a mandate for us – and for you – to keep looking beyond simple contact data validation, into a world of data analyses that range from demographic screening to compliance with growing privacy laws. It is a major challenge, but also an opportunity for all of us – and frankly a big part of what keeps us young.

Once upon a time data was just … data. Today it has become a strategic asset for most organizations, underpinning areas such as market analysis, strategic planning, product targeting and segmentation, and much more. The Economist goes so far as to declare data the world’s most valuable resource, much like oil was a century ago. As a result, organizations are increasingly making its oversight part of their executive suites.

Among C-level executives, the Chief Data Officer (CDO) is still the new kid on the block. As recently as 2012 NewVantage Partners found that only 12% of Fortune 1000 firms surveyed had a formal CDO role, while today this figure has risen to over 63%. And by 2019 this figure is expected to rise to 90%, according to this article from Visual Capitalist.

The Chief Data Officer of 2018: Rapid growth and role confusion

Figures from Visual Capitalist paint a striking picture of how quickly the CDO role has grown in larger organizations:

• The vast majority (83%) have a tenure of less than three years.
• Their budgets have increased by 23% in 2017 alone.
• Their numbers in large organizations have increased from 15 in 2010 to over 4000 in 2017.

On the other hand, like any new function where management roles are scrambling to catch up with technology, the exact functions of a CDO are still evolving. Here are some enlightening statistics from the latest NewVantage survey:

• Change agent or company man? Respondents are split on this, with roughly one-third believing that the CDO should be a change agent from the outside, and another third feeling that he or she should be a company veteran and insider who understands the culture.
• Only 39.4% of companies view the CDO as having primary responsibility for data strategy and results. The rest point to other executive functions for this, with 23.9% even acknowledging no single point of accountability.
• Respondents are evenly split 50/50 on the question of whether a CDO should sit on a company’s executive committee, with 22.6% believing this person must be a data scientist or technologist, and half as many (11.3%) feeling this person must have business line experience in generating revenue.
• There is still a very clear split on how people see a CDO’s responsibilities, between either developing a company’s data and analytics strategy (44.4%), coordinating data initiatives (26.7%), or leading them (20%). However, over 90% believe that the CDO should play a leadership role in these initiatives.

Looking to the longer term, while 12.9% of people feel that the CDO’s role should be temporary or even unnecessary, trends seem to indicate otherwise – particularly in Europe, where the recently-implemented General Data Protection Regulation (GDPR) mandates the creation of a formal Data Protection Officer for all public sector firms, as well as private ones with significant responsibility for handling large-scale private or sensitive consumer data. And this mandate is backed up with potential fines as high as €10 million euros or 2 per cent of annual turnover.

The future of the CDO: From data quality to revenue?

Perhaps the most interesting trend to watch from here might be whether CDOs become entrusted with more revenue responsibility. Currently only 2.2% see this as their primary responsibility, according to NewVantage CEO Randy Bean in Forbes. But analogous to how customer support has evolved from being the “complaint department” to becoming the strategic voice of the customer, particularly in the CRM era, we share a growing view that the strategic and revenue roles of managing data will continue to increase. Today’s CDO may focus on policies, procedures and data quality, while tomorrow’s may also be tasked with mining more profitability from these assets.

In the meantime, data has clearly found its way into the executive suite. Every indication so far is that it is here to stay. And for us at Service Objects, it has been a very exciting time indeed to be in the data quality business.

In previous blogs, we have talked about what you can do to comply with modern data privacy standards, such as the European Union’s GDPR regulations. Today, we’re going to share what we have done lately about meeting privacy standards – and how this will benefit you.

We are proud to announce that Service Objects has been jointly certified by the European Union and the U.S. Department of Commerce under the new EU-U.S. Privacy Shield Framework. We have aligned our own privacy policies to meet the requirements of this Framework, and recently achieved self-certification in the summer of 2018. In the process, we are now meeting the highest standards for the collection, use and retention of personal information for ALL of our clients worldwide.

Understanding the Privacy Shield Framework

So what is the Privacy Shield Framework? In a nutshell, it requires businesses to comply with EU data protection requirements when transferring personal data from the EU to the United States during transatlantic commerce. Here are some of its key principles:

Notice. This includes disclosure about what kinds of personal information are collected about individuals, the purposes for which it is collected and used, the identities of parties to whom information is being disclosed and why, the rights of the individual to access personal data you may hold on file, and access to an approved independent dispute resolution body for privacy complaints.

Choice. Individuals must be offered the choice to opt-out of data being disclosed to third parties or subsequently used for other than its original intended purpose. In the case of sensitive personal information, ranging from medical information to religious or political beliefs, affirmative express consent must be obtained prior to such use or disclosure.

Accountability for onward transfer. Data can only be transferred to third parties for limited and specified purposes, and only after ensuring that these third parties will provide the same level of privacy protection.

Security. Organizations must take reasonable and appropriate measures to protect data from issues such as loss, misuse, or unauthorized access or disclosure.

Data integrity. Steps must be taken to ensure that personal data is accurate, complete, current and reliable for its intended use.

Access. Individuals must have the ability to access their personal data and correct, amend or delete it where appropriate, except in cases where the costs or impact on the rights of others are prohibitive.

Recourse. A key principle of the Framework is access to approved third-party recourse mechanisms for complaints regarding data privacy issues, including binding arbitration on request.

So, what is the benefit of our participation in the Framework? These guidelines provide a level of security and safety for the data we collect about you, as well as data we process on your behalf. This is particularly important if you work with clients in the European Union, but also represents an important set of safeguards for the data of all of your clients. You can view our revised data privacy practices right here.

Data privacy has evolved quickly from being a lofty goal to having specific, measurable best practices in recent years. The EU-U.S. Privacy Shield Framework represents another step toward creating global standards and certifications in this area, and we are proud to be a part of it.

If you are an online retailer, your world just changed in a big way.

In a narrow 5-4 decision, the United States Supreme Court recently ruled that states now have a right to force out-of-state business to collect and pay sales taxes on sales to their customers. This means that if you do business nationally, you may soon be responsible for sales taxes in any state where you have customers. This article is a guide to how this new ruling may affect you, and what you can do about it.

Online sales tax collection: How we got here

First, let’s start with a little history.

Until recently, out-of-state sales taxes were not an issue for many businesses. According to a legal precedent set in 1992 in the Quill Corporation vs. North Dakota case, businesses were not required to collect sales taxes from out-of-state customers, unless you had a physical presence or “nexus” in that state. (Note that this only applied to collecting these taxes: consumers have always technically been responsible for paying them, albeit with a sketchy patchwork of enforcement.)

This latest Supreme Court ruling in Wayfair vs. South Dakota overturns this precedent, on the grounds that it no longer reflects the economic reality of today’s massive online retailing environment. Quarterly retail e-commerce sales have grown nearly fourfold over the last decade to just under US $125 billion per quarter in Q1 2018 (and a record $452 billion annually in 2017), while annual sales are projected to nearly double to US $638 billion between 2016 and 2022 – on the order of 20% of total retail sales.

These figures represent a lot of tax revenue for states to leave on the table, and few states want to see these revenues decline every year. And in recent years, 31 states have found loopholes for collecting these taxes anyway, by either tightening the definition of “nexus” (for example, paying commissions to referral websites in that state) or requiring documentation and reporting of large purchases. But now, the Supreme Court has cleared the way for any state to simply require sales tax collection.

How this ruling will affect your business

So what will the impact of this ruling be on you and your business? The answer is, “it depends.”

For now, everyone is waiting to see how states will respond to this new ruling. New legislation will take time to be crafted and approved. And small business may catch a break: for example, in the case at hand before the Supreme Court, South Dakota only required sales tax collection for sales volumes in excess of $100,000 or 200 transactions per year. But given how 40 states had petitioned the Supreme Court to rule in favor of this – and bricks-and-mortar businesses have railed against the unfair tax advantages of online sales – it is a safe bet that more sales tax collection with be in the future of many businesses.

Another wild card will be how states treat tax rates for out-of-state purchases. Inc Magazine points out that there are currently close to 10,000 separate taxing jurisdictions in the United States, giving one example of how sales in Chicago require the collection of four distinct taxes – a city tax, county tax, state tax, and an additional “special” tax. States may mandate the use of the same tax levies as in-state purchases, although there have also been calls to simplify out-of-state sales tax rates.

Automation to the rescue

Needless to say, this ruling promises to increase the costs and complexity of selling products across state lines. But for most businesses, the rational choice is to automate the computation of sales tax rates. Service Objects’ DOTS FastTax service provides real-time sales tax data based on your customer’s contact information. Synchronized with tax authorities nationwide, FastTax integrates address validation and geolocation to guarantee accuracy, in a world where tax rates can very from street to street.

We can’t stop the evolution of retail buying patterns and e-commerce. Nor can we control what happens with sales tax policies from here. But we can make both of these things much less frustrating, with solutions that integrate directly with your CRM or marketing automation software. Contact us today to learn how FastTax can help put much of your tax compliance on autopilot, now and in the future.