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What best performers do differently by Aberdeen

I found a great article from Slideshare about the role of analytics and data-driven decision making in all aspects of marketing to focus on the voice of the customer and drive revenue. The best performers simply work harder and more methodologically. The process and tools need to be in place and they are being actively used. This is all quite obvious, still too rarely executed in real life.

This is in short, what is supposed to be in place and in operational execution:

Best-in-class PACE framework What are the difference then?

Best-performers are different in operationsWhat about technology use?

Best performer technology useLet’s make a mental note, that this study and results are from 2011. Marketing analytics for social media and marketing automation have become much more influential since then. However, this study is a great reminder of the fact, that performance comes from hard work and dedication.

SEE ALSO:

“The CMO 2013 Study insights and what CMO’s should do now”

Lost insights and Corporate Blind Spots

Business Design with customer centricity

How to enable smart company and avoid corporate autism

Author: Toni Keskinen, Marketing Architect & Customer Journey Designer

http://www.linkedin.com/in/tonikeskinen

Join FutureCMO Movement LinkedIn Group here

Source: Aberdeen CMO Study

Choosing and Buying – Cross-channel influence

We first started the development of cross-channel customer behavior analytics methodology – One Experience in 2004. The original insight about channel development was about clear conflict between companies channel development practice and customers actual behaviour. Companies used to develop each channel individually. Very often each channel has still own channel responsible management that is developing that individual channel to the max. Also the benchmarking was done against competitors channel and the goal was to be better than the competitor. There’s nothing wrong with anything described above unless it generate blind spots and steer companies to invest in development that doesn’t actually support customers and create value for them. The rule of thump is that you should constantly consider effort vs. gain from customer perspective whenever you are developing or changing something.  When doing Cross-channel customer behaviour studies we learned that in some cases companies channel strategy and customer’s needs and expectations were not aligned and the channel strategy actually hindered sales.

Many brands have a long and successful history of servicing their customers thoroughly in a single channel.  Kirsti Lehmusto (former CMO of Finnish retail company Stockmann and colleague from Taivas, now CMO for Helsinki University) recognize the retail store management, contact centre services and distant sales services with catalogues as methodologies that have created great financial success by concentrating in excelling in the customer experience in a single channel from beginning to the end.

Channel management 1_single channel optimizationIn the current 24/7 economy and world of digital influence it is even more important to understand that in current world customer’s move accross channels and create service strings that fluently move customers from one channel to another according to their preferences, drivers and motives. It is important to look at these service moments in each channel and optimize them to help the customer further to his preferred next step.

Channel management 2_cross-channel behaviour

Service and product ranges don’t have the same meaning for customers and people are not quite as interested in everything. In the article ”Customer Decision Making FLOW” there’s more about how the decision-making about a certain FMCG goods and brands like Coca Cola differ from buying a magazine subscription, taking a mortgage or buying a motorcycle. The following gives an outlook on general learning’s about stages in various businesses.

Let’s dig deeper in to stages: Browsing, Configuring, Deciding, Buying and Post-Purchase.

The two stages before these are: Brand-as-a-platform that you can read from here and Initiation, you can read here.  (I would recommend reading them, before going further to choosing and buying journey below). Also check out how to run customer driven business design development here.

Browsing

Browsing is most often about learning, simultaneous process of exploring your own intentions and interests, and actively considering what kind of solution would be perfect for the customer. Customer has mental goals while doing this. He’s interested in certain facts, has drivers guiding him further while exploring. Not all factors are created equal. These things define customer’s mindset & motivation. (We must not forget, that people are emotional by nature and we need to understand what people are feeling while they are browsing and learning and help them feel good about the brand we are promoting). While doing this, customers use information sources that are both interactive & instructional. On-line services, product reviews, friends, catalogues, retail stores, contact centres, agents & brokers. Some of these touch points can be led by the brand, some can’t. Some of the touch points have more meaning than others. The important thing is to understand what the customer is trying to do, which touch points the customers use and how did the touch point fulfil customer’s expectations.

Customers who have no prior experience about buying products and services in certain service or product category are more likely to browse more thoroughly and consciously. Also, people who are more price sensitive tend to do more work in browsing and all other stages in general. There are two underlying reasons for the Journey driven emphasis and strong browsing

  1. Customers are curious and actually want to know what options are most interesting and
  2. Customers are worried about making bad decision and try to learn more in order to avoid mistakes.

In many cases both reasons are meaningful.

Some businesses are naturally interesting for customers, like travelling and cars. In these businesses learning about products, services and prices can be considered as entertainment. Coffee table discussions and other people’s experiences are also an important part of the decision making process. In this kind of categories visits to the stores and actually seeing the products are also considered entertaining and fun. If people are busy and don’t just go out and see products for fun they are more likely to actually go and see what they are considering in configuring or even in purchase stage after making the mental decision to buy. The trend though is that companies have less and less face time with customers enabling persuasion. Cross channel marketing is more about steering customer forward and selling by supporting their choices than actual selling. Pulling instead of pushing.

In business-to-business customer journeys browsing is about looking for potential service providers for further negotiations. Managers and entrepreneurs looking for service providers ask other people’s opinions, look online for potential companies and potentially even use a professional consultant to find best possible potential service providers.

When defining sub channels for Browsing stage our experience is that it’s better to use broad descriptions of the touch points and ask about customers experience and what kind of information had most meaning for them. In browsing it is impossible not to talk about search engines in the current digital environment. Customers often have pre-decided brands and options they are mostly looking at. However, they also look for other people’s experiences and use search engines while looking for information. Even if the brand or product would not be known and on customer’s shortlist, search engine advertising enable capturing some of the customers. The more entertaining and positive context the buying is about, the more likely people are to click and learn about options they didn’t know existed. Travel is a great example of such business. In travel people are happy to give their email and contacts to travel agencies, cruising companies and airliners just to get more entertaining ideas and travelling inspiration from them. In less entertaining businesses too, it’s possible to capture customer’s contacts and call back later. When I built a house and was looking for materials, contractors etc, it was obvious that the browsing was often done in the middle of the night and an opportunity to leave contacts and get a call next day was considered as good service.

In less interesting businesses people often skip browsing or do it in-store at a shelf. FMCG businesses represent such business in which people don’t search information or find out about options outside store. Browsing is likely to be done at the shelf comparing contents and prices. If customer does this once, he’s not likely to stop and think next time. Once decided, customers easily create habit and non-considered re-purchases. This doesn’t mean that you couldn’t do anything though. Some companies have created wildly popular recipe clubs and services that offer inspiration in a format of recipes instead of individual products. One of the best examples is Valio’s Cream Club which cost 18€ as annual subscription price. This program is nothing but marketing and branded content. Still, people consider these recipes so inspiring that they are prepared to pay for a membership which makes this marketing program practically free for Valio even without product sales. If your product is not interesting as such, people could still be interested in the context your products are used in enabling branded engagement.

Configuring

Configuring can be exactly that, e.g. using a car configuration online in order to learn which kind of combination would be most suitable for me. The name of the stage comes from mass-customisation vocabulary (Jarmo Suominen, professor for Masscustomization (MIT/UIAH) had strong impact on the original theory development). In configuring stage customer has most often chosen the brands he wants to learn more about. Often it is about negotiating with potential suppliers about the price or contents and terms of the offer. The difference compared to browsing is that in browsing customer often is learning and more open to possibilities. In browsing, he’s also often anonymous visitor online or in store. At configuring customer is engaging actively and has more defined decision making criteria. He’s looking for the best deal. Configuring is also about letting some options go in order to concentrate on the best potential choices. It’s equally important to know how people define which brands they want to continue with and understand what kind of tools and information sources people use in order to rule out some brands. The car configuration tools are a great example of that.

Case: We studied 500 professionals who had chosen a leasing car as their car benefit provided by their employer spring 2010. The study proved that 18% of all buyers used car configuration tools to decline brands before going to test-drive or asking an offer for the car. It’s actually rather logical. When customers start building their dream car they easily come up with a solution that is too expensive for them. Also, the car configuration tools give a price before any discounts. As a result customers start dropping out options they had chosen in the first place and suddenly the whole experience is about giving up on things the customer would have liked. Eventually the brand loses the appeal it had originally. It is absolutely certain that every car brand’s research prove that customers require openness in pricing and giving as much information as possible online. However, optimisation of sales and driving people further in their journey is sometimes different from what customers demand. Direct marketing has proved this decades ago. Customer should not get a figure online that he could consider as an offer unless you are selling cars online and actually give a real offer for the customer. In majority of car selling the customer should only get an offer from car seller and enable the car seller to show the qualities of the car in person. Emotional and rational influences are often a mixture creating desire to own the car. This desire requires certain level of engagement, which improves the probability of closing a deal. Car configuration tools’s role is to enable dreaming and bring the customers to the store.

In business-to-business and major consumer purchase decisions the configuring stage is often about a meeting with the salesman or other representative in order to define request for an offer. Online e-commerce and opportunity to buy abroad is just another way of servicing the same need. The buyer wants to know and learn about the service providers or products capabilities, background, cases and discuss about the qualities of potential solution. Very often the first engagement with the service provider also allow buyer to evaluate what kind of feeling the service provider left in the first engagement. Word of advice from previous cases is, that it’s more important to ask than present at this stage. In people businesses customers want the company to concentrate on their needs and solve them. It is important to show interest in customers needs and show how much you care about their problem. Human behaviour is about trust. The seller’s first priority as a contact person and representative of his company is to understand the brief and create trusting and caring connection to the buyer.

Decision

Was there a specific event or incentive that led to decision? If yes, what was that? Whether or not there is an offer, the people still evaluate offer or stimulus against their perception of the brand, the company and the product. Customer has certain motivation, drivers and resources that guide him. From which retailers did the customer ask for an offer. What prompted the decision?

In some cases customer know that they should buy a new product in order to replace the old one but they just don’t recall doing so or lack motivation or ability to do it. In these cases we talk about ”pending purchase decisions”.  Offer in store or discount advertisement could act as a trigger. In smaller purchases just seeing the product is the trigger. In other cases there could have been long-lasting interest and consideration but no action. In cases like this the customers have been interested and wanted to buy for a long time but were not able to do so or lacked justification. Discount advertising is very effective trigger in these cases. People could wait for a long time for the products price to come to the acceptable level. The discount has two-fold triggering effect

  1. The price can be considerably lower than normal
  2. The offer is there for a limited time or there is only limited number of products at that specific store resulting feeling of hurry and justification. It’s now or never!  Limited number of products is a message that increases sales never mind how many products the store would actually have in storage.

In TV-shop commercials sales increased when customers were told: ”If you call, Prepare for holding online or use SMS for ordering”. Just saying some other people would also buy the product was justification enough for more people to act.

In technology businesses like wrist-top-computers measuring pulse and other training factors, mobile phones and entertainment gadgets the prices come down after some time due to rapid product circulation. If the products become ”most wanted” like iPod and iPhone did, declining pricing eventually reach tippin’ point driving products to move from most wanted to market dominating products. Following the own brand’s and competing brand’s customer journeys and preference, enable recognising and preparing for such events.

Another very important thing is to track competing brand’s actions in this space. Competing brands could send offers by mail; use out-bound telemarketing to help (read: push) customers make decisions right away. Proactive decision supporting and triggering could result a lot of lost business unless it’s detected and acted on.

In business-to-business cases and major consumer purchase decisions the decision stage has to do with comparing offers. It is smart to take the time and present the offer face to face. Face time often increase trust and represent dedication. At best the presenting of the offer means evaluating and considering it aloud. Customer has a change to ask questions and make certain that they understand what exactly the offer means. The first meeting with a salesman was about first impression and the next about how well does the contact person meet expectations and is he trust worthy? How well has the contact person taken customers wishes in account and what kind of pro-active propositions there are in order to better meet customer’s goals. It all comes down to trust eventually. Price is a subjective issue in most cases, not an absolute measure. Higher price just require more trust and better justification than lower price.

Purchase

Where did the customer purchase? Purchase channel and location give new information for analysis when looking back at the customer journey. Customers could have purchased from certain store brand, specialist store, online retailer, catalogue sales company, by phone, by calling to contact centre. It’s important to track which player was the active contacting party a) customer b) competitor.

Purchase channel send a message about customers decision-making dynamics too. In several cases the customers behaviour has been very online centric in every other stage but purchasing. Online channels are very effective in offering information about the products and services but often customer rather purchase from store, individual contact person or contact centre rather than online. Why is that?

Our learning has been that it’s most likely an expression of insecurity and pure need for human contact confirming the decision. People want to call, possibly bargain a little, but most importantly they want to feel secure that they are doing a good deal and they will not feel sorry for it after. In retail products customers could go to buy in retail store in order to confirm their decision by touching the product and experiencing it live or they want to get it with them right away. Visit in the store could be inevitable in many cases but there are risks.

When we were developing One Experience methodology we did some multi-client researches in order to develop the methodology. We found out that while Fujitsu-Siemens had 22% preference rate, they sold 35%. Their sale was roughly 50% higher than their brand preference would let expect. In the further analysis we found out that majority of sales people working in stores preferred Fujitsu-Siemens laptops and often owned one too. Of course the same apply in case of trade promotion offering sales people extra for selling more Fujitsu-Siemens. However, in this case there was no promotion but it was natural for sales people to recommend Fujitsu-Siemens.

The reality is that when people have been looking for a solution, product or service they would like to buy, they are actually still rather open for influence at the very last stage. When people get to know offering they often come to conclusion that certain product is both possible for them and they feel comfortable about choosing it. Once the customer comes to a store and the premium product is in discount, the customer is likely to change his mind in that instant and buy the premium product even if it was still slightly more expensive than the one the customer came to pick-up. The same phenomena apply when customer engage with store personnel. The professionals in store can raise insecurity in customer’s mind or recommend something other than the customer was going to buy. Often the customer’s goal for the discussion in store is meant to confirm customer’s own thinking. Still, often it results alternative outcome depending on the advisors training, experience, opinions and incentives. Brands have very different variation in the level of determination in their buying. Strong brands, which have a “love” relationship with buyers, are much harder to persuade to some other way.

In the same Laptop study we found another interesting phenomenon. There were dramatic differences between store brands in which customers went to see the products and where they actually purchased them. The conversion rate from visitor to buyer was at best 66% and at worst less than 30%. The two biggest retail brand conversions were a) 29% visiting and 9% of sales and b) 23% visiting and 6% of sales. These two brands dominated people’s visits but they didn’t dominate sales. Retail conversion rate optimisation would have dramatically increased these retailers market share and it shouldn’t be too hard when they already have people coming to them.  41% of customers told that the sales person influenced their decision and in 23% of cases they reported sales persons opinion had important role. 39% of customers only went to visit in one store. Still, many of those people purchased online.  Currently many customers consider stores as showrooms and look for the best deal online.

RECENT DEVELOPMENT AND TRENDS

The rise of online channels and social media’s role in customer journey has increased information available for customers. Social media has enabled and encouraged communities and discussion forums in which people share experiences of different products and services. This change has diminished the role for sales people in many businesses and created disruption in former Customer Journeys. In the world of 3i, that is high interest, high involvement and high investment product and services, people’s know-how about the products and services often exceed the level that sales people have in store. The customers are increasingly becoming specialist in what they are buying. They are also actively using this knowledge as social capital. People enjoy their position in their own community and sharing increase their role as a valuable member. Peer-group’s respect is often very effective motivator that activates discussion and participation.

The customers are also increasingly interested in companies’ practices and values. Several brands have suffered major image setbacks due to child labour in their production, environmentally indifferent attitude and any ethically questionable actions. People become more and more conscious about their consuming,  effects of their choices and the products and services are no longer enough. People also need to feel good about their choices.

The trend that is shaking the corporate mindset is transparency. Brand, products and services, pricing, quality and experiences are all available online. Customers trust each other more than the brands specialists even if they don’t know each other. Transparency means that companies need to be just as good as they say they are or better than they have promised. Search engines are the best enablers of transparency democracy.

Post-Purchase

Once a customers have made a purchase and started using the product or service they are often likely to talk about their experiences. Word-of-mouth is a major influencer in many businesses and sharing experiences spontaneously online has multiplied the word-of-mouth influence. Another important thing to consider is that web does not forget easily. When customers start looking for information about the product or service online, they use search engines. The highest scoring links are the ones that have been clicked most often, have external links directed to that specific content and so on. This means that the highest scoring content could be several years old. It is very important for brands to stay in touch with customer’s satisfaction and recommendations.

Analysing the outcome

As customer journey designer I was very interested in learning about the customers decision-making dynamics from beginning to the end. In order to optimize that you first need to understand what is happening. We came to conclusion that the best way to effectively show what happened was to break the conversion analysis in three: Won, Kept and Lost business. To make it more meaningful we broke further to three dimensions: before buying, what happened in the original groups and what was the outcome. Here is an illustration of one case. This measure is called Business Dynamics Score (BDS)

 Business Dynamics Score

Of those 42% who originally preferred the brand 95% were kept and only 5% lost. Of those 28% who originally preferred competitor 70% were converted and only 30% were lost to competitor. Of those who had no preference 88% were converted and won. Only 14% were lost. The outcome is that from this company’s target group they won 46% of sales from competitors, 40% of their sales came from those who originally preferred them and they lost 14% of their reference group’s sales to competitors. In this case the sample the data was collected from customer buying this service at certain frequency and in this case some of the customers had purchased competing brand after the most recent purchase from the brand that was studied. This finding helped further in recognizing how much business is leaking from the brand to the competitors and why.

This way of looking at the customer data also reveal where the brand is making it’s sales. Of people who originally prefer the brand, how many actually buy it in the end. Of customers who prefer competitors, how many the brand is capable of winning. From customers who have no preference but only rather equal options, how many of them actually buy the brand in question. While capturing data, this same comparison also work very efficiently in analysing how competitors win from the brand in question and what can be done about it.

In order to finalize the big picture, it’s also very educating to see which brand the customers consider was second best after the purchased brand if any. Being second best means that the brands success was good but something still turned the customers head and led to lost business. If your brand is very often the second best, it means that it is not too hard to make major improvement in sales.

Of the full Customer Journey – this article was about the third slot – Choose and buy, Check out the first two stages:

Customer Journey stage 1: Brand as a platform

Customer Journey stage 2: Initiation

Also see Business design with customer centricity

Managing customer interfaces – marketing do-or-die

and How to Map and Study Customer Journey

Customer Journey

Author: Toni Keskinen, Marketing Architect & Customer Journey Designer

http://www.linkedin.com/in/tonikeskinen

Join FutureCMO Movement LinkedIn Group here

McKinsey’s Five digital trends shaking up Europe (infograph)

McKinsey – 5 trends in European digital consumption

More @ http://cmsoforum.mckinsey.com/multichannel-delivery/infographic-five-digital-trends-shaking-up-europe

How to measure conversion – infograph

I found a great infograph from my former colleagues’ website. Tamara Gielen has one of the most red email marketing blogs in the world – Be relevant! emailmarketing blog . This inforgraph is about conversion optimisation in general and has a great message I totally agree with. Nothing beats the live testing with actual customers. A/B testing, multivariate testing, using segmenting and other tools for learning are the best and fastest ways for creation of reliable business cases in marketing. So, here it is. Enjoy
If you enjoy these articles, please subscribe this  blog to your email or join our LinkedIn Group

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Digital Trends for 2013 by Adobe

Technology meets marketing. Analytic mind meets creativity. It’s going to be a year of change which is just speeding up constantly

Digital Trends for 2013 by Adobe

From Poor-Data and Poor-Insight to Rich-Data and Better-Insight

As we already know, organizations have ability to collect, store and analyze massive amount of data from multiple sources. They have spent a lot of money managing this big data. Investments in technology and analytics are useless unless employees can use data, information and knowledge in their decisions-making.  Many companies are facing a big challenge in data-driven decision-making. Good and rich data won’t quarantee good decisions on their own. I posted May 2012 an article about Insight IQ. It was based on April 2012 issue of the Harvard Business Review where Shvetank Shah, Andrew Horn and Jaime Capella argue that Good Data Won’t Guarantee Good Decisions. In this article I continue this theme a bit further.

Shah, Horn and Capella found that there are three main types of decision makers:

  1. Visceral decision makers (gut feel decisions)
  2. Unquestioning empiricists (rely on the number alone)
  3. Informed skeptics (gut feel with data)

If we consider the matter in data perspective I defined simple data collaboration or data insight maturity scale. It emphasizes level and maturity of data collaboration in decision-making.

Organizations on the right ‘high side’ are capitalizing the data in decision-making. They combine the gut feel with data and can drive decisions that make a real difference in productivity and profitability. They can drive real competitive edge from and behind the data. They drive all necessary information from markets for better decision-making. They know their customers and customer journey. Although the decisions can be very complex with limited amount of time and there are many options to choose from, they can still make the decisions and carry out them fast. These companies are the winners. They have hit the jackpot, but unfortunately I see these kinds of companies quite seldom. However, that is the goal to go for.

Another way of looking at this variety in corporate behavior is to divide companies in three categories according to state of data maturity. There are three types of companies: data collectors, data analyzer and data innovators.

1.       Data collectors

These companies are collecting and learning which data is important for their business. Light segmentation is used and it is more building and focusing on different customer groups. Analytical skills are very low and decisions are made as gut feel or based on basic sales figures and income statement

2.       Data analyzer

These companies have systematic way of collecting and storing data. They are invested in the technologies that are available to analyze the data. They can do basic business reporting but are not able to drive the real value behind the data. They are good at analyzing and reporting but suffer the lack of interpretation skills to drive deeper business insight.

3.       Data innovators

These companies are more comfortable with big data sets and technology. The focus is in how benefit from actionable insights and strategic big data. They have effective ways to share business information across functional areas that better decisions can be made. They have many data-savvy employees and data-driven decisions are informality in C-Suite.

Steps from data collector to data innovator

It is all about people, process and technology. Here are six steps to improve data-driven decision-making.

1. Emphasis on right data

  • collect all relevant information into one single platform
  • from business understanding to data understanding
  • automate the data collection process

2. From silos to holistic business view

  •  map all the relevant data, which is essential for decision-making
  • data preparation, consolidation and visualization are necessary
  • CMO & CIO partnership

3. Choose the right technology

  • find technology that meets your business demands
  • choose technology, which accept and read data from any source

4. Online reality

  • today’s business and business environment needs real-time data
  • online data as enabler of quick decisions and insights
  • rapid resource allocation
  • online business management and intelligent decisions

5. Create strategic marketing dashboard

  • KPI’s by channel
  • true values from returns and investments
  • identify risks and opportunities
  • measure and lead the customer journey

6. Create systematic analytic skills competence development program for employees

  • find the data-savvy workers in your organization
  • make them to train everyone else of their analytics skills and method
  • leverage analytics know-how widely in your organization
  • C-suites as exemplary for others

Big Data, Big Decisions and Big Management Change

Big data is out there. Data volumes, velocity and varieties have multiplied, in fact exploded.  The big question is how to find the best ways to make all of it and how analyzed data is changing decision-making ways and management. Are big decisions based on analyzed evidence or intuition?

Many organizations are thinking how to drive the real business value behind big data. They are drowning with data and don’t know what to do with it. To drive competitive edge from big data, organizations need new competence and new management style. These are very big issues in today’s business environment and get accentuated all the time. For example, Gartner’s top 10 strategic technology trends for 2013 addressed strategic big data and actionable analytics. These two trends were number six and seven. And believe me, these two trends are raising top of that list the near future.

Ten years ago I created Intelligent Contact Management (ICM) concept at MicroMedia. It was holistic approach for sales and target marketing. The main idea was to translate inside and outside, online or offline data into information, information into deep knowledge, knowledge into action and action into measurable results. Action means in this case multichannel sales and marketing approach. Right and relevant message to right targets at the right time. Way of handling and managing touch points in customer journey.  The concept of ICM presents in picture below.

Is there any significant changes in ten years. Nothing much, except tsunami of unstructured information has swept over. After ten years we are facing with information that comes in varieties and volumes we could ever imagine. That is not a threat, it is the big opportunity to handle and manage more precise information for predictions and decision-making.

Big data is a management revolution.

There was a very interesting article about big data and management revolution in Harvard Business Review, October 2012 issue by McAfee and Brynjolfsson.  They wrote that “data-driven decisions are better decisions – it’s as simple as that. Using big data enables managers to decide on the basis of evidence rather than intuition. For that reason it has the potential to revolutionize management”. I could not agree more, using and analyzing data for evidence-based decision-making is the quantum leap from hunch and “super intuition”. This leap composes a big managerial challenge.

Are data-driven companies’ better performers?

There is a lot of buzz and skepticism about the real value of being data-driven organization. McAfee and Brynjolfsson made a research to find real evidence that using big data will lead to better business performance. They interviewed executives at 330 public North American companies about management practices, both organizational and technological and their annual reports. The major finding was that companies using big data and data-driven decision-making are performing better financially and operationally. In fact they are 5% more productive and 6% more profitable than their competitors.  But, and this is a big but, 32% of respondents set their companies below 3 at 5-point composite scale when asking is your company data-driven. So, there is a lot of work to do in this field.

Destroy the empire of HiPPOs

Is your organization making decision HiPPO-style? McAfee’s and Brynjolfsson’s definition for HiPPO: the highest-paid person’s opinion. These executives are making decisions based on their experience and old intuitive patterns. The big question is are these executives ready to cancel their decisions if analyzed data is telling the opposite than their intuition and hunch. The answer is yes and no, but the big shift is happening. In today’s business world, executives can rely on data and predictions. The biggest factor is that they can ask the right questions. When the data-driven decision-making movement advances further, HiPPOs will mute and extinct. New data experts will arise. Future CMO will be this kind of expert in executive group.

Manage the big change

McAfee and Brynjolfsson picked up five management challenges when moving towards data-driven company and evidence-based decision-making.

Leadership

  • create leadership teams, set clear goals, define success and focus on asking the right question
  • do not forget the human insight
  • think creatively
  • communicate clearly with employees, stockholders and stakeholders

Talent management

  • employ data scientists

Technology

  • invest in technology
  • update IT competence

Decision making

  • create cross-functional cooperation
  • locate the big information and decision-making in the same place
  • improve problem-solving techniques
  • ask the right questions

Company culture

  • move actively away from hunches and instinct
  • do not pretend be more data-driven than you really are
  • forget the HiPPO-style decision-making

The big data will become a key basis of innovation, productivity and competition. According to research by MGI and McKinsey’s Business Technology Office there are five ways in which using big data can create value. First, big data can create value by making information transparent and usable widely inside the organization. Second, organizations can collect more accurate and detailed performance information, analyze it and drive performance. Companies are using big data and analysis to make better management decisions. Third, big data allows ever-narrower segmentation of customers and therefore much more precisely tailored products or services. Fourth, actionable analytics improve decision-making. Fifth, big data can improve the development of the next generation of products and services.

In the end, one rule of thumb to remember: Big data will never replace Big thinking!

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