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Five Key Benefits Big Data Can Deliver For Finance: Part 2

Nilly Essaides

Part 2 in a series. Read Part 1 here.

Finance professionals and experts interviewed by the Association for Financial Professionals (AFP) for its upcoming FP&A Guide, How Finance Can Get Ready for Big Data, releasing April 12, pointed out five key benefits finance can achieve from adopting Big Data strategies.

  1. Improved forecasting. The key benefits for incorporating Big Data strategies into FP&A is improving predictability. Big Data validates the assumptions that go into the business forecast, and therefore allows FP&A to come up with a more accurate view of how events in the market and internally will impact the company’s performance, and thus its competitive position. A data-driven finance department can better look forward and identify leading indicators. With that information, the CFO can make more educated decisions.
  1. Better KPIs. FP&A can take also take advantage of Big Data when identifying and understanding value drivers, and then managing and monitoring financial and non-financial KPIs against these value drivers. By nature of its job and role, FP&A is in the right position to examine that and assess whether core planning and reporting models represent the right driver relationships and related KPIs.
  1. More predictable working capital. An existing example for an area where Big Data can play a role is in analyzing and predicting working capital. Traditionally, finance would look up 15 factors that drive working capital and monitor them to come up with a forecast. Now, instead, an analyst can seek statistical correlations between working capital and any number of data points to arrive at a forecast for the organization.
  1. Identification of growth opportunities. One of the areas that CEOs identified as the best thing CFOs can do, according to KPMG’s The View from the Top 2015 survey, is in best leveraging financial data and analytics to identify growth opportunities. While marketing is clearly involved, finance is actually in a much better position – and has better access to data – to analyze the cost to serve across multiple dimensions (products, customers, services, channels) and then analyze pricing strategies and where to optimize profitability and growth.
  1. A stronger strategic role for FP&A. Finally, FP&A already has the basic multidisciplinary thinking and analytical approach. Using Big Data and getting comfortable with some ambiguity allows FP&A professionals to more quickly adjust their thinking, and recommendations, in reaction to changes in the business environment, today and looking forward. Many FP&A groups are already moving their focus from what happened to what’s going to happen and why. In this role, they are becoming a strategic partner to the business and senior management.

According to Allan Frank, chief IT strategist and co-founder of The Hackett Group, Big Data and related new tools present a tremendous opportunity for finance to take the lead, given its core fiduciary responsibilities. “The challenge for finance is how to develop an enterprise view of analytics,” he said. “The first thing is to realize you can find out more. You can ask questions you couldn’t ask before and frame them in the form of business outcomes.”

Over time there will likely be an evolution of the FP&A business analyst into the business data scientist, according to Philip Peck, vice president of finance transformation at Peloton. “FP&A practitioners will review and analyze all of the forward-looking KPIs and data available, dynamically adjust forecasts, make tactical recommendations, and effectively drive that information into operations,” he said.

Peck added that as finance and FP&A continue to extend and expand their business partnering activities across the organization, they have a unique opportunity to spearhead or at least guide Big Data and analytics efforts and become the go-to experts in this area. “Similar to the evolution we experienced when business intelligence became more prevalent, we are starting to see the emergence of analytic centers of excellence or competency centers,” he said.

To benchmark your organization’s forecasting methods and other FP&A processes, take the AFP FP&A Benchmarking Survey, in partnership with IBM. You can also connect with me on LinkedIn or follow me on Twitter.

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Nilly Essaides

About Nilly Essaides

Nilly Essaides is the director of the FP&A Practice at the Association for Financial Professionals. She has over 25 years of experience in the finance field. Nilly has written multiple in-depth research reports on FP&A and Treasury topics, as well as countless articles. She also speaks at conferences and moderates financial executives' roundtables across the country. Nilly has published a book on best-practice transfer and process excellence with the APQC, "If We Only Knew What We Know."

Real-Time Analysis Tools Critical To Improving Finance Performance [INFOGRAPHIC]

Viki Ghavalas

The majority of finance executives agree that real-time analysis tools are key to making better business decisions, according to a report by CFO Research and SAP titled “The Future of Financial Planning and Analysis.” However, executives polled also believe that their current systems still need more improvement to be able to make a positive impact on the business. Executives surveyed point to four main priorities for their FP&A tools.

Finance executives surveyed expect the demand for real-time analysis tools to grow in the coming years. However, the survey also shows that having these tools is not enough and that stakeholders also expect analysis and insights from finance that are simple and actionable.

Data in financial planning and analysis

Learn more about what finance executives are projecting for FP&A by downloading the “The Future of Financial Planning and Analysis” report.

Are you monitoring business performance in real time? If not, read Boosting Efficiency For CFOs And The Finance Function.

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Viki Ghavalas

About Viki Ghavalas

Viki Ghavalas is worldwide program manager for the finance line of business at SAP.

Why Banks Should Be Bullish On Integrating Finance And Risk Data

Mike Russo

Welcome to the regulatory world of banking, where finance and risk must join forces to banking executiveensure compliance and control. Today it’s no longer sufficient to manage your bank’s performance using finance-only metrics such as net income. What you need is a risk-adjusted view of performance that identifies how much revenue you earn relative to the amount of risk you take on. That requires metrics that combine finance and risk components, such as risk-adjusted return on capital, shareholder value added, or economic value added.

While the smart money is on a unified approach to finance and risk, most banking institutions have isolated each function in a discrete technology “silo” complete with its own data set, models, applications, and reporting components. What’s more, banks continually reuse and replicate their finance and risk-related data – resulting in the creation of additional data stores filled with redundant data that grows exponentially over time. Integrating all this data on a single platform that supports both finance and risk scenarios can provide the data integrity and insight needed to meet regulations. Such an initiative may involve some heavy lifting, but the advantages extend far beyond compliance.

Cashing in on bottom-line benefits

Consider the potential cost savings of taking a more holistic approach to data management. In our work with large global banks, we estimate that data management – including validation, reconciliation, and copying data from one data mart to another – accounts for 50% to 70% of total IT costs. Now factor in the benefits of reining in redundancy. One bank we’re currently working with is storing the same finance and risk-related data 20 times. This represents a huge opportunity to save costs by eliminating data redundancy and all the associated processes that unfold once you start replicating data across multiple sources.

With the convergence of finance and risk, we’re seeing more banks reviewing their data architecture, thinking about new models, and considering how to handle data in a smarter way. Thanks to modern methodologies, building a unified platform that aligns finance and risk no longer requires a rip-and-replace process that can disrupt operations. As with any enterprise initiative, it’s best to take a phased approach.

Best practices in creating a unified data platform

Start by identifying a chief data officer (CDO) who has strategic responsibility for the unified platform, including data governance, quality, architecture, and analytics. The CDO oversees the initiative, represents all constituencies, and ensures that the new data architecture serves the interests of all stakeholders.

Next, define a unified set of terms that satisfies both your finance and risk constituencies while addressing regulatory requirements. This creates a common language across the enterprise so all stakeholders clearly understand what the data means. Make sure all stakeholders have an opportunity to weigh in and explain their perspective of the data early on because certain terms can mean different things to finance and risk folks.

In designing your platform, take advantage of new technologies that make previous IT models predicated on compute-intensive risk modeling a thing of the past. For example, in-memory computing now enables you to integrate all information and analytic processes in memory, so you can perform calculations on-the-fly and deliver results in real time. Advanced event stream processing lets you run analytics against transaction data as it’s posting, so you can analyze and act on events as they happen.

Such technologies bring integration, speed, flexibility, and access to finance and risk data. They eliminate the need to move data to data marts and reconcile data to meet user requirements. Now a single finance and risk data warehouse can be flexible and comprehensive enough to serve many masters.

Join our webinar with Risk.net on 7 October, 2015 to learn best practices and benefits of deploying an integrated finance and risk platform.

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Mike Russo

About Mike Russo

Mike Russo, Senior Industry Principal – Financial Services Mike has 30 years experience in the Financial Services/ Financial Software industries. His experience includes stints as Senior Auditor for the Irving Trust Co., NY; Manager of the International Department at Barclays Bank of New York; and 14 years as CFO for Nordea Bank’s, New York City branch –a full service retail/commercial bank. Mike also served on Nordea’s Credit, IT, and Risk Committees. Mike’s financial software experience includes roles as a Senior Banking Consultant with Sanchez Computer Associates and Manager of Global Business Solutions (focused on sale of financial/risk management solutions) with Thomson Financial. Prior to joining SAP, Mike was a regulator with the Federal Reserve Bank in Charlotte, where he was responsible for the supervision of large commercial banking organizations in the Southeast with a focus on market/credit/operational risk management. Joined SAP 8years ago.

Live Businesses Deliver a Personal Customer Experience Without Losing Trust

Lori Mitchell-Keller, Brian Walker, Johann Wrede, Polly Traylor, and Stephanie Overby

Trust is the foundation of customer relationships. People who don’t trust your business are not likely to become or remain customers.

The trust relationship has taken some big hits lately. Beloved brands like Chipotle and Toyota have seen customer trust ebb due to public perception of their roles in safety issues. Consumers continue to experience occasional data breaches from large brands.

Yet these traditional threats have short half-lives. The latest threat could last forever.

Most customers claim they want personalization across all the channels in which they interact with companies. Such personalization should create long-term loyalty by creating a new level of intimacy in the relationship.

sap_Q216_digital_double_feature3_images2But that intimacy comes at a high price. For personalization to work, brands need to gather unprecedented amounts of personal information about customers and continue to do so over the course of the relationship. Customers are already wary: 80% of consumers have updated their privacy settings recently, according to an article in VentureBeat.

Companies must get personalization right. If they do, customers are more likely to purchase again and less likely to switch to a competitor. Personalization is also an important step toward the holy grail of digital transformation: becoming a Live Business, capable of meeting customers with relevant and customized offers, products, and services in real time or in the moments of customers’ choosing.

When done wrong, personalization can cause customers to feel that they’ve been deceived and that their privacy has been violated. It can also turn into an uncomfortable headline. When Target used its database of customer purchases to send coupons for diapers to the home of an expectant teen before her father knew about the pregnancy, its action backfired. The incident became the centerpiece of a New York Times story on Target’s consumer intelligence gathering practices and privacy.

Straddling the Line of Trust

Customers can’t define the line between helpful and creepy, but they know it when they see it.

Research conducted by RichRelevance in 2015 made something abundantly clear: what marketers think is cool may be seen as creepy by consumers. For example, facial-recognition technology that identifies age and gender to target advertisements on digital screens is considered creepy by 73% of people surveyed. Yet consumers were happy about scanning a product on their mobile device to see product reviews and recommendations for other items they might like, the survey revealed. Here’s what else resonates as creepy or cool when it comes to digital engagement with consumers, courtesy of RichRelevance and Edelman Berland (now called Edelman).

Creepy

  • Shoppers are put off when salespeople greet them by name because of mobile phone signals or know their spending habits because of facial-recognition software.
  • Dynamic pricing, such as a digital display showing a lower price “just for you,” also puts shoppers off.
  • When brands collect data on consumers without their knowledge, 83% of people consider it an invasion of privacy, according to RichRelevance’s research, and 65% feel the same way about ads that follow them from Web site to Web site (retargeting).

Cool

  • Shoppers like mobile apps with interactive maps that efficiently guide them to products in the store.
  • They also like when their in-store location triggers a coupon or other promotion for a product nearby.
  • When a Web site reminds the consumer of past purchases, a majority of shoppers like it.

There are no hard-and-fast rules about which personalization tactics are creepy and which are cool, but trust is particularly threatened in face-to-face interactions. Nobody minds much if Amazon sends product recommendations through a computer, but when salespeople approach customers like a long-lost friend based on information collected without the customer’s knowledge or permission, the violation of trust feels much more personal and emotional. The stage is set for an angry, embarrassed customer to walk out  the door, forever.

sap_Q216_digital_double_feature3_images3It doesn’t help that the limits of trust shift constantly as social media tempts us to reveal more and more about ourselves and as companies’ data collection techniques continue to improve. It’s easy to cross the line from helpful to creepy or annoying (see Straddling the Line of Trust).

Online, customers are similarly choosy about personalization. For example, when online shoppers are simply looking at a product category, ads that matched their prior Web-browsing interests are ineffective, an MIT study reports. Yet after consumers have visited a review site to seek out information and are closer to a purchase, personalized content is more effective than generic ads.

Personalization Requires a Live Business

Yet the limits of trust are definitely shifting toward more personalization, not less. Customers already enjoy frictionless personalized experiences with digital-native companies like Uber, and they are applying those heightened expectations to all companies. For example, 91% of customers want to pick up where they left off when they switch between channels, according to Aspect research. And personalization is helpful when you receive recommendations for products that you would like based on previous in-store or online purchases.

sap_Q216_digital_double_feature3_images-0004Customers also want their interactions to be live—or in the moment they choose. Fulfilling that need means that companies must become Live Businesses, capable of creating a technological infrastructure that allows real-time interactions and that allows the entire organization—its structure, people, and processes—to respond to customers in all the moments that matter.

Coordinating across channels and meeting customers in the right moments with personalized interactions will become critical as the digital economy matures and customer expectations rise. For instance, when customers air complaints about a brand on social media, 72% expect a response within an hour, according to consulting firm Bain & Company. Meanwhile, an Accenture survey found that nearly 60% of consumers want real-time promotions; 48% like online reminders to order items that they might have run out of; and 51% like the idea of a one-click checkout, where they can skip payment method or shipping forms because the retailer has saved their preferences. Those types of services build trust, showing that companies care enough to understand their customers and send offers or information that save them time, money, or both.

So while trust is difficult to earn, once you’ve earned it and figured out how to maintain it, you can have customers for life—as long as you respect the shifting boundaries.

“Do customers think the company is truly acting with their best interests at heart, or is it just trying to feed the quarterly earnings beast?” asks Donna Peeples, a customer experience expert and the former chief customer experience officer at AIG. “Customer data should be accurate and timely, the company should be transparent about how the data is being used, and it should give customers control over data collection.”

sap_Q216_digital_double_feature3_images-0005How to Earn Trust for a Live Business

Despite spending US$600 billion on online purchases, U.S. consumers are concerned with transaction privacy, the 2015 Consumer Trust Survey from CA Security Council reveals. These concerns will become acute as Live Businesses make personalization across channels a reality.

Here are some ways to improve trust while moving forward with omnichannel personalization.

  • Determine the value of trust. Customers want to know what value they are getting in exchange for their data. An Accenture study found that the majority of consumers in the United States and the United Kingdom are willing to have trusted retailers use some of their personal data in order to present personalized and targeted products, services, recommendations, and offers.
    “If customers get substantial discounts or offers that are appealing to them, they are often more than willing to make that trade-off,” says Tom Davenport, author of Big Data at Work: Dispelling the Myths, Uncovering the Opportunities. “But a lot of companies are cheap. They use the information but don’t give anything back. They make offers that aren’t particularly relevant or useful. They don’t give discounts for loyalty. They’re just trying to sell more.”
  • Let customers make the first move. Customers who voluntarily give up data are more likely to trust personalization across the channels where they do business. Mobile apps are a great way to invite customers to share more data in a more intimate relationship that they control. By entering the data they choose into the app, customers won’t be annoyed by personalization that’s built around it.
    For example, a leading luxury retailer’s sales associates may offer customers their favorite beverages based on information they entered into the app about their interests and preferences.
  • Simplify data collection and usage policies. Slapping a dense data- use policy written in legalese on the corporate website does little to earn customers’ trust. Instead, companies should think about the customer data transaction, such as what information the customer is giving them, how they’re using it, and what the result will be, and describe it as simply as possible.
    “Try to describe it in words so simple that your grandmother can understand it. And then ask your grandmother if it’s reasonable,” suggests Elea McDonnell Feit, assistant professor of marketing at Drexel University’s LeBow College of Business. “If your grandmother can’t understand what’s happening, you’ve got a problem.”
    The use of data should be totally transparent in the interaction itself, adds Feit. “When a company uses data to customize a service or offering to a customer, the customer should be able to figure out where the company got the data and immediately see how the company is providing added value to the customers by using the data,” Feit says.
  • Create trust through education. Yes, bombarding customers with generic offers and pushing those offers across the different Web sites they visit may boost profits over the short term, but customers will eventually become weary and mistrustful. To create trust that lasts and that supports personalization, educate the customers.

Procter & Gamble’s (P&G’s) Mean Stinks campaign for Secret deodorant encourages girl-to-girl anti-bullying posts on Twitter, Facebook, and Instagram. The pages let participants send apologies to those they have bullied; view videos; and share tips, tools, and challenges with their peers.

P&G has said that participation in Mean Stinks has helped drive market share increases for the core Secret brand as well as the specific line of deodorant promoted by the effort. Offering education without pushing products or services creates a sense that companies are putting customers’ interests before their own, which is one of the bedrock elements of trust. Opting in to personalization seems less risky to customers if they perceive that companies have built up a reserve of value and trust.

“Companies that do personalization well demonstrate that they care, respect customers’ time, know and understand their customers and their needs and interests,” says Peeples. “It also reinforces that interactions are not merely transactions but opportunities to build a long-term relationship with that customer.”

Laying the Foundation for Live, Personalized Omnichannel Processes

sap_Q216_digital_double_feature3_images-0006Creating a personalized omnichannel strategy that balances trust and business goals starts with knowing the customer. This can happen only when multiple aspects of your business are coordinated in a live fashion. But marketers today struggle to collect the kind of data that could drive more meaningful connections with customers. In an Infogroup survey of more than 500 marketers, only 21% said they are “very confident in the accuracy and completeness of their customer profiles.” A little over half of respondents said they aren’t collecting enough data overall.

Collecting enough of the right types of data requires more holistic data-collection techniques:

  • Take advantage of the lower costs for processing and storing terabytes of data, and develop a data strategy that combines and crunches all the customer data points needed to drive relevant interactions. This includes transactional, mobile, sensor, and  Web data.
  • Social media analytics is also a central tactic. Social profiles and activity are rich sources of data about behavior and character, merging what people buy or look for with their interests, for instance. Such data can feed predictive analytics and personalization campaigns.
  • Experiment with commercial tools that can filter and mine the data of customers and prospects in real time. This is a significant step beyond basic demographic data collections of the past.

sap_Q216_digital_double_feature3_images-0007Once the necessary data is available, companies need the technology, processes, and people to make sensible use of it in an omnichannel personalization strategy. Only when a company is organized as a Live Business can that happen. Here’s how your company can move toward being a Live Business:
Be live across channels. Having a consistent customer journey map across channels is core to omnichannel personalization. It requires integration across multiple systems and organizational silos to enable core capabilities, such as inventory visibility and purchase/pickup/return across channels. This integration also constitutes a major chunk of the transition to becoming a company that can act in the moments that matter most to customers. If all channels can sync in real time, customers can get what they want in the moment they want it.

Free the data scientists. Marketing rarely has full control over the omnichannel experience, but it is the undisputed leader in understanding customer behavior. While data science is part of that understanding, it has traditionally played a background role. Marketers need to bring the data scientists into efforts to sort through the different options for digitizing the omnichannel experience. The right data scientists understand not only how to use the tools but also how to apply the data to make accurate decisions and follow customers from channel to channel with personalized offers.

Walgreens’ Technology Approach to Personalization

Walgreens is a leader in building the kind of technology base that can enable real-time, omnichannel personalization. Its digital transformation is 16 years in the making, according to Jason Fei, senior director of architecture for digital engineering at Walgreens. At the heart of its infrastructure is a Big Data engine that feeds many customer interaction and omnichannel processes, including customer segmentation. The company adds third-party systems in areas such as predictive analytics and marketing software. Walgreens has a cloud-first strategy for all new applications, such as its image-processing and print-ordering applications. Other elements of the drugstore chain’s technology platform include:

  • Application programming interface (API)-driven architecture. Walgreens’ APIs enable more than 50 partners to connect with its apps and systems to drive customer-facing processes, including integrations with consumer wearables to drive reward points for healthy habits, as well as content partnerships with companies such as WebMD. “With APIs we can be an extensible business, allowing other companies to connect to us easily and help in the digital enablement of our physical stores,” Fei says.
  • Responsive Web sites. The company’s Web site is built using responsive and adaptive design practices so that the site automatically adapts to the consumer’s device, whether that is a mobile phone, tablet, or desktop computer. “We have a single code base that runs anywhere and delivers a consistent, optimized experience to all of our customers,” Fei says.

Making the Most of the Technology Base

This technology foundation has allowed Walgreens to push forward in personalization. For example, according to Fei the company uses sophisticated segmentation and personalization engines to drive outbound e-mail and text campaigns to customers based on their purchase history and profile. “We don’t blast out messages to customers; we use our personalization recommendations to be relevant,” says Fei.

The next phase of this strategy is to develop live inbound personalization tactics, such as recognizing customers when they come back to the Web site and tailoring their experience accordingly. These highly automated, self-learning systems improve over time, becoming more relevant at the moment a customer logs back in.

“When you search for a product, the Web site will take a good guess of what you might actually want. If you always print greeting cards at the same time of year, for example, the system would automatically deliver content around that,” Fei explains. “Everyone comes to Walgreens with a mission, so we can be very targeted with our communications.”

Walgreens’ mobile app combines real-time personalization with convenience. You can scan a pill bottle to refill a prescription, access coupons, send photos from your phone to print in the store, track rewards, and find the exact location of a product on the shelf.

Walgreens also recently deployed a new integrated interactive voice-response system that includes a personalization engine that recognizes the individual, says Troy Mills, vice president of customer care at Walgreens. The system can then predict the most probable reason for the customer’s call and quickly get them to the right individual for further help.

How to Get Started with Live Customer Experiences

sap_Q216_digital_double_feature3_images-0008As Fei can attest, getting Walgreens’ omnichannel and personalization infrastructure to this point has involved a lot of work, with much more to come. For companies just now embarking on this journey, especially midsize and large companies, getting started will mean overhauling an outdated and ineffective technology infrastructure where duplicate systems and processes for managing customer data, marketing programs, and transactions are common.

A bad internal user experience often transcends into a bad customer-facing experience, says Peeples. “We can’t afford the distractions of the latest app or social ‘shiny penny’ without addressing the root causes of our systems’ issues.”

Live Business Requires Striking the Right Balance

The boundaries of trust are a moving target. Sales tactics that used to be acceptable decades ago, such as the door-to-door salesperson, are unwelcome today to most homeowners. And consumers’ expectations are unpredictable. At the dawn of social media, many people were anxious about their photos unexpectedly showing up online. Now our identities are tagged and our posts and photos distributed and commented on regularly.

But while consumers are getting more comfortable with online technology and its trade-offs, they won’t put up with personalization efforts that make use of their data without their knowledge or permission. That data has value, and customers want to decide for themselves when it’s worth giving it away. Marketers need to strike the right balance between personalization and a healthy respect for the unique needs and concerns of individuals. D!

 

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Lori Mitchell-Keller

About Lori Mitchell-Keller

Lori Mitchell-Keller is the Executive Vice President and Global General Manager Consumer Industries at SAP. She leads the Retail, Wholesale Distribution, Consumer Products, and Life Sciences Industries with a strong focus on helping our customers transform their business and derive value while getting closer to their customers.

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How Mobile Technology Impacts The HR Industry

Meghan M. Biro

We use mobile devices for nearly everything, from shopping and researching to scheduling our daily lives. In fact, more than 85 percent of U.S. millennials own a smartphone and use it frequently throughout the day.

Businesses are already optimizing their use of mobile technology to reach their customers and to make their employees work lives more efficient, but there’s one area where they’re overlooking a huge opportunity: Human resources. 

Mobile use for HR needs

Considering how tethered many of us are to our smartphones, it should come as no surprise that employees appreciate mobile access to information as much as customers. A recent study by ADP found that 37 percent of mobile users rely on their smartphones to access pay information through an HR app. That’s a significant chunk of the workforce already turning to mobile solutions—and those numbers will only continue to grow.

I’ve said for years that the world is growing ever more global and mobile and HR has to be, too. To reach the right talent, you need to be mobile-friendly in design and ease of usage. HR should always go where the talent is – and these days it’s on mobile.

Harnessing the power of mobile—and cloud technology—will provide business with opportunities to make huge changes for the better.

Use technology to attract a younger workforce

Baby boomers are quickly reaching retirement, and the new workforce is made up of tech-savvy millennials—with the equally savvy Generation Z not far behind.

These younger professionals have a different perspective, work ethic, and set of expectations for employment. Mobility is their calling card; one study by Aruba Networks found that the “#GenMobile” demographic prefers flexibility when it comes to where they work, and when. An estimated 37 percent of workers telecommute full-time, with the average worker telecommuting two days a month. Technology has given us not just mobile devices, but also a mobile lifestyle.

Competition in the job market is fierce; businesses are clamoring to find the best talent, wherever it may be. Many companies are changing their HR processes to attract and retain workers—not just by tossing around perks like flexible hours or unlimited vacation days, but also through the smart use of mobile technology.

Mobile HR apps

Mobile HR apps help put data at employees’ fingertips—but what does that really mean? Here’s an example: ADP’s mobile app already has more than two million downloads, and less than two percent of customers have opted out of the service. The ADP app allows employees to access data like pay information anytime, anywhere.

This kind of 24/7/365 connectivity is important to a generation of wired-in (or, more precisely, wireless) professionals. To take this example a little further, let’s have a look at what else employees can do with the ADP app:

  • View payroll statements.
  • Clock in and out.
  • Send messages if they’re running late or going to be absent.
  • Request time off.
  • Track their schedules.
  • Review benefits, savings accounts, and spending accounts.
  • Create or revise timesheets.

Mobile recruiting

Mobile technology isn’t just affecting how employees access information; it’s changing the way businesses recruit new employees. According to Capterra, a free service to help companies find the right software, 2016 will be the year more HR tools offer mobile functionality and HR professionals use their mobile devices to apply, recruit and work. Capterra projects that those numbers will continue to grow in 2016 as more of online activities move to mobile.

According to Deloitte’s Global mobile consumer survey, 97 percent of adults aged 18-24 check their mobile phones within three hours of waking up and check their mobile devices an average of 74 times per day. The same research reveals that 50 percent of users of all ages check their phones one last time, 15 minutes before going to sleep. Mobile is where the people (and the candidates) are and where they will be in increasing numbers as time goes on.

Social media platforms, like LinkedIn and Facebook, are quickly becoming the go-to way for businesses to find and communicate with potential candidates. An Aberdeen study found that 73 percent of 18-34-year-olds found their last job through a social network and 89 percent of recruiters have hired an employee through LinkedIn.

Undoubtedly, mobile technology and apps have made a huge impact on both internal and external HR functions.

Consumer products and technology have conditioned us to use mobile for a variety of needs, and employees expect the same responsiveness and ease of use in workplace applications. Mobile apps are beneficial across the board: They bring your business into the 21st century, increase HR accessibility, and allow you to reach a wider audience for recruiting, communication, and marketing.

Mobile is fast becoming the rule rather than the exception. Businesses need to get moving on the implementation of mobile technology throughout all departments, especially HR.

For more on how cutting-edge technology is transforming HR, see How Big Data Drives HR In 2016.

A version of this post was originally published on Converge.xyz.

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