Analytics Ain’t Cheap, Nor Should It Be!

Garbage In, Garbage Out is a common phrase I hear a lot when people talk about bad analytics.

Dirty, unstructured, error-filled, and/or inaccurate data is the bane of any good analyst.

SO when I saw a friends post asking about how to explain to a potential client that basically wanted an analytics solution done on the cheap, I suggested he not pursue that client.

If  you are creative and have the ability to be innovative with solutions, you can have good analytics that are affordable.

There are a number of BI tools out there that have free versions. You can do a lot of pretty awesome stuff in excel. So technology doesn’t have to be a factor.

You can also send people to reasonably priced training programs or have them self learn using online resources. That can save money.

But when it comes to the people. You get what you pay for. And if you want to go cheap on compensation for analytics professionals you will pretty much guarantee a bad outcome.

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Analytics Outsourcing – DMAIPH has successfully set up Filipino analytics teams for over a dozen U.S. based businesses. Offering both virtual and office based teams that specialize in problem solving using data, new technology and analytics techniques is our strength. Finding and empowering analytics talent is increasingly challenging, but we have it down to a science. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to learn more about how to set up an analytics-centric team in the Philippines.

DMAIPH joins Global Chamber Manila

The other day I had the honor to join the advisory board for the Global Chamber Manila.

http://manila.globalchamber.org/cpages/home

Global Chamber Manila helps members get business done across metro areas!

We are a thriving and collaborating community of CEO’s, executives, and professionals growing business across 500 metropolitan areas. We leverage technology and our collective networks around the world to help member companies grow, reduce risk, be more productive, and succeed faster.

We are the only organization in the world with the mission to grow business from anywhere to anywhere while collaborating with every organization. We help companies, investors and business service providers around the world succeed.

We will be having some awesome events this coming January 16-18 to meet and greet potential members.

To help combat traffic, we have scheduled the launch on 3 different locations at BGC, Makati City and Ortigas Center:

The event is FREE but please RSVP to ensure we can reserve a seat for you. Just click on the link for the locations above. http://manila.globalchamber.org/events

Beverages and light refreshments will be served. See you!

News & Events- DMAIPH is a highly engaged leader, sponsor and participant in analytics events across the U.S. and the Philippines. As an Analytics Champion I write, blog, speak and lecture about analytics in a wide variety of forums. I authored several publications on analytics including my latest book, Putting Your Data to Work. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to learn more about where I will be talking about analytics next.

So Just What is Analytics Anyway?

 

In less than 200 words… Analytics is simply the discover of patterns in data.

Analytics is used by organizations to answer business questions, predict business trends, mitigate risk and provide actionable insights.

Businesses who use analytics are at least 33% more profitable and up to 10x more efficient then ones who don’t.

To be successful with analytics you must have the 3 T’s; talent, technology and technique.

When you have a team of curious people who like to use data in their decision-making, you have the talent. It is not just a matter of training them to be great analysts.

Using tools like business intelligence applications, data visualizations and business dashboards, allows technology super charge your teams ability to analyze data.

Knowing what analytic technique to apply for any specific business need is the third component you need to be awesome with analytics.

Investing in analytics will give you an edge over your competition and optimize your team’s potential.

Make one of your 2017 goals to get more analytics in your business to empower more data-driven decisions!

IMG_6912Follow my blog @ www.dmaiph.com to learn how!

Daniel Meyer

President & Founder of DMAIPH

Decision-Making, Analytics & Intelligence Philippines

News & Events- DMAIPH is a highly engaged leader, sponsor and participant in analytics events across the U.S. and the Philippines. As an Analytics Champion I write, blog, speak and lecture about analytics in a wide variety of forums. I authored several publications on analytics including my latest book, Putting Your Data to Work. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to learn more about where I will be talking about analytics next.

DMAIPH will be at the Techtonic2017 event being put on by PMCM Events Management this coming July!

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The Four P’s of Marketing for Analytics Training

I get asked a lot about how I apply the 4 P’s of Marketing to my analytics training business.

The 4 P’s (Product, Place, Price, Promotion) of marketing are the foundation of our marketing efforts which have made DMAIPH and Dan Meyer, name brands in the analytics space within the Philippines.

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Our product is analytics training. That in itself is not easy to market.

Over the past few years it has gotten easier as analytics has entered the mainstream consciousness of Filipino businesses. Still, given the propensity for the subject matter to cause nose bleeds among non-data geeks it takes a lot of effort and foresight to be successful.

Product

Big Data Analytics, Business Analytics and HR/Recruitment Analytics are our primary types of training. Our training is for students, for analysts, for professionals using analytics and for decision-makers. Each type and audience taking distinct approaches to market.

Our product is unique in that no one else in the Philippines approaches analytics trainings like I do. Most analytics training is highly technical and narrowly focused on using a certain method or tool. My method is much more universal and focuses on unlocking the analyst inside the participant so they can select the appropriate methodology and/or tool needed for the analytics project at hand.

DMAIPH analytics training in the Philippines is what we do, and are very, very good at it.

Place

Our place is generally in Metro Manila, specifically Ortigas. Most of our trainings are conducted in hotel function rooms or business conference rooms. I have trained groups as small as 4 and as many as 80. However, the size and location though, our place is getting into the minds of the audience to educate, enable and empower the use of data in decision-making.

We have done trainings outside Metro Manila, anywhere in the Philippines is possible. I have also adapted my training for speaking engagements at conferences and workshops, as part of analytics expert panels and in college class rooms.

DMAIPH analytics training can happen just about anywhere, for any audience of any scope or level of knowledge. Our flexibility allows us to go to any place to train people to use analytics.

Price

Our price is now about 6,000 PHP a head per training. That is right in the middle of the market. There are more expensive ones that offer certain technical perks, but when it comes to a generalist approach to analytics we are the best bang for your buck.

We constantly look at competitors to make sure we set our price accordingly. The market dictates our price given the plethora of training options out there available to potential customers.

We also base venue, scope and size of each training on certain revenue targets to make sure we optimize our time and investment to assure handsome profits.

DMAIPH’s pricing is above all else fair. Our goal is to charge a competitive price that reflects the wide range of choices our customers have to get training on analytics topics.

Promotion

We promote on Facebook, via LinkedIn and using e-mail marketing. We also use the book and marketing visuals like tarpaulins and flyers at job fairs and business conferences.

We make great use of selling our brand, which is built on my experience of 20 years doing analytics and reputation of being one of the top minds in analytics in the Philippines.

DMAIPH stands for quality analytics training based on real world insights and cutting edge techniques delivered in an easy to understand way.

Adding key metrics to the 4 P’s of your organization’s marketing strategy is something DMAIPH can help you with.

Business Strategy with Analytics – Aligning a business strategy to drive an organization forward requires a robust analytics solution. Businesses who have good analytics tend to be much more profitable and efficient then ones that do not. DMAIPH has helped dozens of companies in both the U.S. and the Philippines with adding more data analysis in their business strategy. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to find out what we can do to help you align your business strategy with analytics. 

Can Analytics Help a Sari Sari Store?

I had this interesting conversation earlier about analytics.

I started explaining to the person I was sitting next to what I do and he asked can analytics really help any business?

Of course I said yes.

He asked even a Sari Sari store?

For those of you who don’t know much about Sari Sari stores, let me tell you a bit about them.

By far the most common form of self-employment in the Philippines are small, family operated convenience stores. Called Sari-Sari stores, there are an estimated 1 million Sari Sari stores across the Philippines. Per wikipedia, this counts for an estimated 30% of all retail sales in the Philippines.

Sari-Sari, which is Tagalog for variety, are an important economic and social pieces of just about every Filipino community. Most are privately run, family owned and are operated from the front of the owners house.

Commodities are displayed behind a large mesh screen to both allow customers to see what is available and to prevent shoplifting. The most common goods sold are candy, snacks and other non-perishable food items. Cigarettes and mobile phone cards are also popular items for sale. Household needs like soap, detergent and cleaning supplies are also common. Some stores have small refrigerators to offer cold drinks like soda and beer.

Sari-sari stores generally have higher prices when compared to supermarkets which is a tradeoff for proximity to their customers. It is also common to buy single units of a product versus an entire package as paying more to meet a quick need is valued over planning and budgeting bulk purchase over the long term.

Some Sari Sari stores also offer credit to neighbors. Micro lending of this scale is wide spread and generally done under the rule that if the credit is not repaid, the store owner will report this to the local government officials.

Some Sari Sari stores barter goods and services with farmer, fishermen and other businesses.

Most Sari Sari store proprietors buy their goods at supermarkets then mark up the prices for resale (on the average 20%). In some areas, businessmen make act a middle man offering bulk products to the Sari Sari store.

It is my belief that most Sari Sari stores can benefit from a simple strategic business plan and some very basic analytics.

My understanding is that Sari Sari stores operate on a very tactical level with little long term planning and operate with little market awareness.

If I ever to consult with the owner of a Sari Sari store, my initial approach would be to develop a business strategy plan and build a basic analytics process to gather data and provide a proof of concept.

This approach would be broken into the following steps:

  1. Business Strategy Assessment – How do they conduct business?
  2. Competitive Landscape – Who do they compete with?
  3. Demographic Profile – Who are their customers?
  4. Market Assessment – How much upside is in their market?
  5. Inventory Analysis – How to they optimize inventory?
  6. Facilities Assessment – Are they getting the most of their location?
  7. Risk & Security Assessment – What risks do they face?

I will flesh out each of these steps in upcoming blog posts.

Once I have complied data from these 7 steps, I can develop a business strategy plan unique to the individual Sari Sari store.

After my presentation of the business plan, I can make a determination if they Sari Sari store will enter Phase Two of the plan.

I would work with the proprietor store for a set period of time in a consulting role to determine viability of operations and if they meet our program standards (detailed later in this document).

In addition to offering a consulting solution, through my company, I can also offer additional services including cash management, accounting, marketing, inventory and fulfillment assistance, and other solutions as they arise.

Its my experience that the busiest Sari Sari stores offer something unique. Some might have an ice cream maker, or a special dish they prepare, or some have home baked goods. Regardless, they generally have something that sets them apart from a store that just offers traditional goods.

So, the final piece of my involvement would be cross selling our unique products to Sari Sari stores in need of a unique product to build their business around.

After that consultation, I would expect that three things would happen:

  1. the Sari Sari store proprietor would have a better grasp of a strategic business strategy.
  2. the Sari Sari store would increase profits and
  3. the Sari Sari store would expand its customer base and build up loyalty with existing customers.

So, to get back to the question… how can analytics help a Sari Sari store?

By applying some lessons from the corporate world.

Dr. Data_Analytics in the Philippines

Analytics in the Philippines – The Philippines is at the center of the action when it comes to solutions to the global need for analytics. Blessed with a solid foundation of young, educated and English speaking workforce, companies around the world are look for Filipino analytics talent to fill analytics positions. DMAIPH was set up to facilitate these solutions and bring the talent and the business together. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly so we can help you take advantage of this unique global opportunity.

 

Being A Great Analyst > Key Attribute #3 > Be Decisive

If you are a good analyst or a decision-maker that uses analytics, being decisive is much, much easier.

One key to using data and analysis effectively is understanding how people make decisions and what impacts the ability to make unbiased decisions.

A few years back I came across a book by Dan and Chip Heath called Decisive. It was a fantastic read.

The Heath Brothers are marketing and management experts who do a lot of research into what works and what doesn’t in the business world.

Decisive looks at what influences effective decision-makers overcome.

As an analyst, there are many valuable lessons that can be applied to both selecting data and presenting the analysis of the data.

One example of being Decisive that I use a lot related to trying to avoid a narrow frame. Too often we limit our choices.

When it comes to what data to use to answer business questions, we have to always ask ourselves is this the right data? Is there other data I can use to validate my findings? What data can be blended with this data to tell a more compelling story?

Being aware of your own biases will help you ensure you get the right data, that it’s what is really need to answer business questions at hand.

Being of aware of the biases of the consumer of your analysis (generally your boss and their peers) can help you position your data in ways that can mitigate those biases and let them see what you see.

There are dozens of examples from Decisive that I use in training people to be analysts and in using analytics effectively.

It is a book, well worth your time.

Analytics Culture – The key to using analytics in a business is like a secret sauce. It is a unique combination of analytics talent, technology and technique that are brought together to enrich and empower an organization. A successful analytics culture is not easy to create, but DMAIPH can show you how. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly so we can build a strategic plan to turn your company into analytics driven success story.

Analytics for the Small Business

Analytics is about looking for patterns in data to help answer questions. Most businesses use analytics to help ensure more data-driven decision-making.

No matter the size, scale or scope, every business generates a wealth of business data. Every business has an opportunity to uses that data to drive more intelligent decisions.

The primary people responsible for conducting analytics on the massive amounts of data we have today are analysts. Analysts are skilled in using various technologies and methodologies to identify, inventory and integrate large amounts of data quickly.

The term analytics can often be used interchangeably with statistics and data science. What separates analytics from disciplines like statistics and data science is generally the speed of the analysis and the focus on solving business problems.

The most common form of analytics is business analytics that are generally used by owners, senior leaders and decision-makers to investigate problems, validate assumptions and to guide strategic planning. As a generalist, business analysts can help in a number of areas of the business.

Business analysts are therefore the most common type of analyst, especially in a small business. If you do a job search on the title analyst, as many as half the posting will likely be business analysts. However, analytics can be used in an almost limitless number of business functions in specific areas like HR, recruitment, marketing, finance, and so on. Each one can have its very own analyst.

Analysts have been around a long time, but recent technological advances have both allowed us to produce and capture more data as well as give us the ability to analyze immense data sets quickly. Thus we are amidst a huge boom in the applications of analytics and the need for analytics talent across the globe. Analytics is something just about every business leader is trying to figure out how to use more effectively in their business. To add to our challenge, the demand for good analysts is booming just as fast as the explosion in big data.

As a result, there is a huge shortage of people who are skilled in working with data to answer questions and solve problems. This is why you have seen the number of analyst job postings increasing at an amazing rate. In the first few chapters of the book we will discuss the quickening demand for analytics talent and why it is so hard to find good analysts, especially at the small business level.

If you are a business leader, manager, owner, and/or executive are not actively trying to surround yourself with analysts and if you are not infusing an analytics centric culture in your business, you will most likely soon see your business fail.

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A small business needs analysts to make sense of big data, manage the storage of the data, and know when to use which of the 3 types of analytics (descriptive, predictive, and prescriptive). To be effective, analysts need to have business intelligence tools to create data visualizations and build business dashboards.

If you need an analyst or want to be trained in analytics, connect with me and I can show you how to get started.

Small Business Analytics – The field of small business analytics is just starting to blossom as companies are looking for more data-driven decision-making to prosper in the age of Big Data. DMAIPH is at the fore front of providing analytics training, consulting and outsourcing options to small businesses. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to set up a free consultation on how to get more analytics in your small business.

The Analytics of Project Measurement

Peter Drucker perfectly summed up why big corporations rely so heavily on analytics when he said “What gets measured, gets managed.”

A successful analyst is able to remove the noise when analyzing data and isolate what matters to his or her organization.

With most companies collecting large amounts of data, you need to be both talented and disciplined to pinpoint key insights that can yield value.

In the corporate world, business analytics is widely use to track, analyze and report Key Performance Indicators (KPIs).

KPIs are rolled up to senior leadership to drive business strategy, identify and mitigate risk and to optimize operational productivity.

This approach is very similar to the way projects in the Measurement and Evaluation are tracked, analyzed and reported.

I would define measurement simply as the act of measuring to ascertain the impact, size, level of success, etc. of a specific data set.

There are many components to measuring projects making sure the project is on schedule, stays in scope, is not over budget, the quality of work is up to par, the end goal of the project remains relevant, and finally if the project is ultimately deemed a success.

A foundation in analytics will contribute to a more optimal and efficient process of measurement. Like businesses do with KPIs, you should start will identifying that are the key measurements your project will be judged on.

Once you know those data points, then figure out how to collect them, analyze them, and report them.

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At each step you can look for new data, validate existing data and blend data from other sources to add value to your measurement efforts.

Once you get to the reporting phase you can look for cutting edge techniques in data visualization and interactive reporting like dashboards to help educate and empower your audience.

That is how it is done in the corporate world where business analysts boil down massive amounts of big, often unstructured data into a few bullet points that allow decision-makers to take action.

When it comes to the Measurement of Project Evaluation, understanding various analytics solutions can make all the difference.

Analytics Education – Facilitating a mastery of the fundamentals of analytics is what DMAIPH does best. All across the world, companies are scrambling to hire analytics talent to optimize the big data they have in their businesses. We can empower students and their instructors with the knowledge they need to prepare for careers in analytics. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly so we can set a guest lecturer date, On-the-Job Training experience or other analytics education solution specifically tailored to your needs.

Most Analysts Are Spending Only 20% of Their Time on Reporting

In many cases reporting is either something that is set and stone and just needs to be filled or there is a time crunch forcing quick and dirty reporting.

Little time is devoted to using the data for storytelling, maximizing data visualization and really providing the audience exactly what its needs.

% Finding Analyzing Reporting
10 12% 6% 33%
20 14% 10% 39%
30 20% 31% 24%
40 6% 14% 2%
50 31% 16% 2%
60 14% 18% 0
70 0% 0% 0
80 0% 2% 0
90 0% 0 0
100 0% 0 0
       

Ideally, at least a third of the time should be spent post data gathering and analysis to really give the end user of the data the things they need for intelligent decision-making.

A full one-third only spend 10% of their time on reporting, which to me means that there is a lot of the waste in their analytics process.

If you take a full 40 hour week to complete a high priority, high value report but only have Friday afternoon to boil down your finding into a report, it is highly unlikely that your report will fully capture the fruits of your labor.

However, if the time frame is even shorter… you have to do all this in one day, you are just getting to the reporting phase at around 3:30pm.

You have less than an hour and a half to summarize you methods and boil your findings into a few points.

Making sure you craft a compelling story to really influence decision-making based on intelligent data analysis is likely impossible.

Data is based on a survey I sent to 3,000 of my LinkedIn connections who are either analysts or work closely with data and analysis.

Analytics Survey – DMAIPH conducts quarterly analytics surveys to collect data on current trends in analytics. We specialize in surveys that assess analytics culture and measuring how aligned an organization is to using data and analytics  in its decision-making. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to find out more about how DMAIPH can conduct surveys to help you assess the analytics culture in your business.

 

 

Survey Results: Devote More Time For Data Analysis

Most Analysts Spend 50% of Their Time Finding Data

% Finding Analyzing Reporting
10 12% 6% 33%
20 14% 10% 39%
30 20% 31% 24%
40 6% 14% 2%
50 31% 16% 2%
60 14% 18% 0
70 0% 0% 0
80 0% 2% 0
90 0% 0 0
100 0% 0 0
       

Most analysts spend most of their time finding data.

Among other thing this can mean they are setting up data mining or data gathering process to look for the data or it can mean they reviewing their data for relevancy.

My experience is that when you spending this much time on the finding the right data phase it reflects a poorly structured data environment or a unfamiliarity with the data needed.

Dirty data is also a big time waste.

Experience is the best solution for challenges with finding data. The fact the finding phase % is so high speaks to both the explosion in the 3 V’s of Big Data (Velocity, Volume and Variety)  as well as the number of analytics newbies.

To me this should be no more than 20% of your time.

I expected finding data would be the biggest chunk, but was surprised that over 50% of my analyst connections using at least 40% of their time finding data.

If you have one day to answer a key business question, this means you are using your entire morning just finding the data.

When you get back from lunch you haven’t even started the actual analysis yet and the clock is ticking.

Data is based on a survey I sent to 3,000 of my LinkedIn connections who are either analysts or work closely with data and analysis.

Analytics Survey – DMAIPH conducts quarterly analytics surveys to collect data on current trends in analytics. We specialize in surveys that assess analytics culture and measuring how aligned an organization is to using data and analytics  in its decision-making. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to find out more about how DMAIPH can conduct surveys to help you assess the analytics culture in your business.