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3 Steps to Create cool dashboards in excel

Posted on September 5th, 2006 in Analytics. Learn Excel – 15 comments

Dashboards are very common business monitoring tools, but creating them in excel with all the bells and whistles is not so easy. So here is a quick 1-2-3 on how to do it.

Lets take a sample of 2 consecutive year sales figures for 7 regions. The colums have Region name, 2004-05, 2005-06 figures and finally YoY Growth percentages. The lame dashboard should look something like this:

But may be we can make it little better. Ideally, a person looking at this would like (to know) the following things:

  • What are the things that are going up / down / remaining constant
  • The chart should look simple and not cluttered; meaning, there cant be multiple columns to present information. He/she should be able to look at one column and concluded something
  • May be little graphics wont hurt the presentation while retaining the information.

Well, how to get it in 3 steps?

  1. Type the following formula in the cell F5 and drag it to apply to all the cells

    [Click on the image to see bigger version of the formula]
  2. Select the range F5:F11, goto Format- Conditional Formatting and enter the following values there:

    [Click on the image to see bigger version of the formula]
  3. Finally, if its already not, change the font of the worksheet to Arial, (see those arrow marks, they are not available in all fonts. And btw, if you dont know how to insert them in the formula use Start- Programs- Accessories- System Tools- Character Map and then locate the symbols.)

So, go ahead and impress everyone with the cool dashboards.

Share this tip with your friends

Andrew Pearce says:

This is great BUT I am attempting to modify and adapt for a dashboard at work. with regard to conditional formatting how can I show an insignificant change ie if the % change is -1% and 1% then colour the cell contents yellow?

This way significant changes are coloured red (negative) or green (positive) with insignificant changes coloured yellow.

The collective intelligence in the office is stumped and would dearly love to come back with an answer!

Thanks in advance – Andrew

I think there is some thing wrong in the formula that you have provided. If you notice the first sheet all your data is in the C and D columns whereas your formula is making comparisons with Column E. i.e. IF E11 0. To begin with there is no data in the cell E11. And, if I go by your 2nd excel screenshot all the up and down percentages should be in column E and I do not understand why you have asked to choose the range F5:F11 and under the conditional formatting you are putting it as $E11. How can this conditional formatting be done in Excel 2007?





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16 Top Big Data Analytics Platforms

Revolutionary. That pretty much describes the data analysis time in which we live. Businesses grapple with huge quantities and varieties of data on one hand, and ever-faster expectations for analysis on the other. The vendor community is responding by providing highly distributed architectures and new levels of memory and processing power. Upstarts also exploit the open-source licensing model, which is not new, but is increasingly accepted and even sought out by data-management professionals.

Apache Hadoop, a nine-year-old open-source data-processing platform first used by Internet giants including Yahoo and Facebook, leads the big-data revolution. Cloudera introduced commercial support for enterprises in 2008, and MapR and Hortonworks piled on in 2009 and 2011, respectively. Among data-management incumbents, IBM and EMC-spinout Pivotal each has introduced its own Hadoop distribution. Microsoft and Teradata offer complementary software and first-line support for Hortonworks’ platform. Oracle resells and supports Cloudera, while HP, SAP, and others act more like Switzerland, working with multiple Hadoop software providers.

In-memory analysis gains steam as Moore’s Law brings us faster, more affordable, and more-memory-rich processors. SAP has been the biggest champion of the in-memory approach with its Hana platform, but Microsoft and Oracle are now poised to introduce in-memory options for their flagship databases. Focused analytical database vendors including Actian, HP Vertica, and Teradata have introduced options for high-RAM-to-disk ratios, along with tools to place specific data into memory for ultra-fast analysis.

Advances in bandwidth, memory, and processing power also have improved real-time stream-processing and stream-analysis capabilities, but this technology has yet to see broad adoption. Several vendors here complex event processing, but outside of the financial trading, national intelligence, and security communities, deployments have been rare. Watch this space and, particularly, new open source options as breakthrough applications in ad delivery, content personalization, logistics, and other areas push broader adoption.

Our slideshow includes broad-based data-management vendors — IBM, Microsoft, Oracle, SAP — that offer everything from data-integration software and database-management systems (DBMSs) to business intelligence and analytics software, to in-memory, stream-processing, and Hadoop options. Teradata is a blue chip focused more narrowly on data management, and like Pivotal, it has close ties with analytics market leader SAS.

Plenty of vendors covered here offer cloud options, but 1010data and Amazon Web Services (AWS) have staked their entire businesses on the cloud model. Amazon has the broadest selection of products of the two, and it’s an obvious choice for those running big workloads and storing lots of data on the AWS platform. 1010data has a highly scalable database service and supporting information-management, BI, and analytics capabilities that are served up private-cloud style.

The jury is still out on whether Hadoop will become as indispensable as database management systems. Where volume and variety are extreme, Hadoop has proven its utility and cost advantages. Cloudera, Hortonworks, and MapR are doing everything they can to move Hadoop beyond high-scale storage and MapReduce processing into the world of analytics.

The niche vendors here include Actian, InfiniDB/Calpont, HP Vertica, Infobright, and Kognitio, all of which have centered their big-data stories around database management systems focused entirely on analytics rather than transaction processing. German DBMS vendor Exasol is another niche player in this mold, but we don’t cover it here as its customer base is almost entirely in continental Europe. It opened offices in the U.S. and U.K. in January 2014.

This collection does not cover analytics vendors, such as Alpine Data Labs, Revolution Analytics, and SAS. These vendors invariably work in conjunction with platforms provided by third-party DBMS vendors and Hadoop distributors, although SAS in particular is blurring this line with growing support for SAS-managed in-memory data grids and Hadoop environments. We also excluded NoSQL and NewSQL DBMSs, which are heavily (though not entirely) focused on high-scale transaction processing, not analytics. We plan to cover NoSQL and NewSQL platforms in a separate, soon-to-be-published collection.

Now dig in and learn more about these analytics vendors and how they compare.





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open source business intelligence (OSBI)

Open source business intelligence (OSBI) is, technically, free business intelligence (BI ) software. Instead of selling traditional software licenses, open source BI vendors charge for support, documentation and code that’s been fine-tuned for specific implementations.

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Open source BI code typically supports reporting, online analytical processing (OLAP ) and data mining software as well as dashboards. bundled data integration and data profiling tools. Although open source is enticing to business managers because it doesn’t cost anything to get the code, using it requires expert technical knowledge. This wouldn’t stop a larger organization from using use open source BI to test proof-of-concept projects, but it might prevent an organization with a small IT staff from adopting the open source model .To make OSBI products more user-friendly, vendors package the code in professional or enterprise software suites that include expanded functionality, technical support, bug fixes and training.

Steve Miller and David Reinke from OpenBi.com maintain that open source BI is a disruptive technology .

This was last updated in November 2010

Related Terms

Elastic Elastic is a software company that provides products and services related to Elasticsearch, its distributed enterprise search. See complete definition Kibana Kibana is an open source data visualization and exploration platform from Elastic that is specialized for large volumes of. See complete definition

Dig Deeper on Open source business intelligence





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All articles with ‘dashboards’ Tag

In this amazing guest post, the winner of our 2016 dashboard contest Chandeep Explains how he constructed the jaw dropping beauty (shown above) using Excel, creativity, love and sweat. Grab a full cup of coffee (or whatever liquid fancies you) and read on. Take lots of notes and play with the ideas in Excel while reading to maximize your learning.

Around 2 months back, I asked you to visualize multiple variable data for 4 companies using Excel. 30 of you responded to the challenge with several interesting and awesome charts, dashboards and reports to visualize the financial metric data. Today, let s take a look at the contest entries and learn from them.

I am really sorry for the delay in compiling the results for this contest. Originally I planned to announce them during last week of July. But my move to New Zealand disrupted the workflow. I know the contestants have poured in a lot of time effort in creating these fabulous workbook and it is unfair on my part. I am sorry and I will manage future contests better.

Here is a simple but effective rule for your next dashboard. Tell all versions of truth. All versions? But there is only one version no? Of course, there is only one version of truth (or data), but you can present that in different ways, thus creating different perspectives, offering different insights. By using an interactive element (slicers [ ]

This is the final part of our series on how to analyze half a million customer complaints. Click below links to read part 1 2.

Customer satisfaction scorecard

In the previous parts of this case study, we understood what kind of complaints were made and where they came from (states). For the customer satisfaction scorecard, let s focus on individual companies.

This is part two of our three part series on how to analyze half a million customer complaints. Read part 1 here .

Analyzing Regional Trends

As introduced in part 1, our complaints dataset has geographical information too. We know the state zip code for each complaint. Please note that zip codes are partial or missing for a 10% of the data.

In this article, let s explore three ways to analyze regional trends.

  1. Regional trends by state, product issue
  2. Complaints per million by state
  3. Complaints by zip code

Continue

Most advanced Excel users know that slicers are cool. Today, let s learn how to use slicers to create an awesome selection mechanism for your dashboards and forms.

First see a quick demo

Looks slick, eh? Read on.

Hello all, prepare to be amazed! Here are 43 creative, fun informative ways to visualize KPI data.

About a month ago, I asked you to visualize KPI data. We received 65 entries for this contest. After carefully reviewing the entries, our panel of judges have discarded 22 of them due to poor charting choices, errors or just plain data dumps. We are left with 43 amazing entries, each creatively analyzed the data and presented results in a powerful way.

How to read this post?

This is a fairly large post. If you are reading this in email or news-reader, it may not look properly. Click here to read it on chandoo.org .

  1. Each entry is shown in a box with the contestant’s name on top. Entries are shown in alphabetical order of contestant’s name.
  2. You can see a snapshot of the entry and more thumbnails below.
  3. The thumb-nails are click-able, so that you can enlarge and see the details.
  4. You can download the contest entry workbook, see play with the files.
  5. You can read my comments at the bottom.
  6. At the bottom of this post, you can find a list of key charting dashboard design techniques. Go thru them to learn how to create similar reports at work.

Thank you

Thank you very much for all the participants in this contest. I have thoroughly enjoyed exploring your work learned a lot from them. I am sure you had fun creating these too.

So go ahead and enjoy the entries.

Imagine you are the head of training department at ACME Inc. You arrange training programs round the year to empower your team. It is hard work, coordinating between employees, trainers, department heads, venues and coffee machines. What if there is something to help you keep track of all this? I am not talking about getting you a shiny new iPad, you silly. I am talking about a tracker calendar built in Excel that ties everything together (well, almost everything, you still have to fill the coffee machine.)

We are going to build a training program tracker calendar using Excel.

What is in this session?

In this podcast,

  • Book announcement about Dashboards for Excel
  • Story of my first ever dashboard
  • Important lessons Requirement Analysis for dashboards
  • Resources for creating awesome dashboards
    • Podcasts
    • Books
    • Courses

Continue

I have an exciting announcement to share with you. My first ever print book Dashboards for Excel . co-authored with Jordan Goldmeier is releasing on15th September .

Dashboards for Excel what is it?

As the name suggests this book is a handy guide for anyone preparing dashboards, management reports and business intelligence workbooks using Excel. The key benefits are,

  • Learn the visualization tools, charts, tables, and graphs important to management.
  • Understand what management doesn’t want to see in a report
  • Turn around dashboards faster and cheaper than ever before
  • Understand the key role dashboards play in an organization
  • Analyze real-world dashboards to apply important features to your own organization
  • Utilize understated, but powerful, Excel formulas and VBA code
  • Avoid common pitfalls in Excel development and dashboard creation
  • Get started with the Excel data model, PowerPivot, and Power Query

As you can see, this is an advanced Excel book with lots of examples, case studies and practical tips.

Cascading drop downs enhance usability of your dashboards interactive workbooks. A cascading drop-down is a 2 or more level selection mechanism. When you have 100s of selection choices, instead of creating one massive drop down or combo-box, you can set up multiple levels of drop downs, so that users can narrow down their selection. For example, users can select Country, State and then City using cascading drop downs.

There are many ways to setup cascading drop downs. You can use formulas coupled with either data validation or form controls. You can also use Slicers. In this video we will review these techniques.

Pivot tables are very powerful analysis tools. They can summarize vast amounts of data with just few clicks. But they are lousy when it comes to output. Imagine the horror of putting a pivot table right inside your beautiful dashboard. One refresh could ruin the layout and create half-an-hour extra work for you.

How to combine the power of pivot tables with elegance of your dashboards?

The answer is: GETPIVOTDATA()

Here is a best practice to improve your dashboard usability. If you have an interactive dashboard, highlight user selections thru conditional formatting.

Check out below quick video to understand what this means.

Whenever you have a dashboard that is quite long or spans across multiple worksheet tabs, it can be hard to use. Here is a simple trick to make your dashboards user friendly. If your dashboard has form controls, create duplicate sets of them and place them in locations where users are looking. For example, If your [ ]

Making your workbooks, charts, dashboards presentations beautiful is a time consuming process. It is a mix of art craft. Naturally, we spend hours polishing that important slideshow or visualization. But do you know about simple features in Excel that can save you a lot of time and help you create gorgeous output?





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    How to Refinance Your Mortgage?

    Some 58 percent of homeowners who have mortgages—that’s about 28 million households—pay interest rates that are higher than today’s bargain rates. Many could save thousands by refinancing. Are you one of them?

    Trading in a higher-rate mortgage for a cheaper one has become almost ritual in the past two decades. Some homeowners refinanced several times as interest rates on 30-year fixed mortgages went from around 10 percent in the early 1990s to about 4 percent in early November, when rates were at their lowest levels in 50 years.

    Long-term savings
    That has created yet another opportunity to cut your monthly mortgage payments or accelerate your home’s payoff by refinancing into a shorter-term loan, which can slash your total interest costs.

    How much can you gain from refinancing? If you took out a 30-year, $200,000, 6.7 percent mortgage five years ago, your monthly payment is almost $1,300. Refinance the $188,000 balance with a 25-year, 4 percent mortgage, and your payment would drop by $300 per month, saving you $90,000 in finance charges over 25 years.

    Rates on 15-year mortgages are even lower, averaging 3.4 percent in early November. Shortening the loan term often results in a higher monthly payment. If you refinanced the above five-year-old loan to a 15-year, 3.3 percent mortgage, your monthly payment would go up by about $30. But by paying off your loan 10 years sooner, you’d save $149,000 in interest.

    You’ll get the biggest savings from refinancing early in your loan term, but if you can slash your rate, you can still save even if you have less than 10 years left on your mortgage. For example, if you have six years left on a 15-year, 5.6 percent mortgage written in 2002 and you refinanced to a 15-year, 3.6 percent mortgage, you’d cut your monthly payment by $922. You’d also extend your mortgage by six years, which would increase your total interest costs by $11,600. But if you paid an additional $850 each month toward your principal, you’d pay off the new loan in six years and save about $6,800 in interest.

    To crunch the numbers on your own specifics, try the calculator at www.hsh.com/refinance-calculator . The calculator accounts for closing costs, about 2 percent of the principal, and can be paid out of pocket or folded into the loan amount.

    Do you qualify?
    The best candidates for refinancing have regular income, at least 10 to 20 percent equity in their homes, and a FICO credit score of 740 or better. But borrowers with scores as low as 620 can qualify for a Federal Housing Administration mortgage, which are available through banks, credit unions, and other lenders. People who don’t meet those criteria might have to jump over hurdles.

    Low equity. If you’re underwater, owing more than your home is worth, you might get help from the federal Home Affordable Refinance Program. When it was introduced in early 2009, HARP allowed refinancing for up to 125 percent of value for mortgages owned or guaranteed by Fannie Mae or Freddie Mac. “The program was badly designed,” says Keith Gumbinger, vice president of HSH Associates, a rate-comparison service, “because it asked lenders to take on additional risk for no reward—a lower interest rate.” In October, the Federal Housing Finance Agency announced that HARP would be revamped to reduce fees and remove the 125 percent loan-to-value limit that kept severely underwater homeowners from refinancing. The changes could prompt 2 million new refinances in the coming year, according to CoreLogic, an information and analytics firm.

    If you have a home equity line of credit or second mortgage on the property and can pull together the cash, try to pay that off, advises Chris Goode, mortgage product manager at Informa Research, a financial-market-research company. That will increase your equity by reducing the amount of debt against the property.

    Reduced income. If your income has dropped since you got your mortgage, you might not be able to get a straight refinance. If you can afford about three–quarters of your payment, you might qualify for a loan modification. “Some lenders just change the rate lower,” Goode says.

    Unemployment. You probably won’t be able to refinance without a regular income. But you might be eligible for relief through forbearance—the lender lets you suspend or make partial payments for up to 12 months while you search for a job. You might also be eligible for a reduction in principal through the Hardest Hit Fund, a federal foreclosure-prevention program in markets where home prices have collapsed the most. Check with your lender or go to www.makinghomeaffordable.gov .





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    Analytics for Hadoop can be done by the following:

    • Writing custom Map Reduce code using Java, Python, R. etc
    • Using high level Pig scripts
    • Using SQL using Hive

    How ever doing analytics like this can feel a little pedantic and time consuming. Business INtelligence tools (BI tools for short) can address this problem.

    BI tools have been around since before Hadoop. Some of them are generic, some are very specific towards a certain domain (e.g. Telecom, Health Care. etc). BI tools provide rich, user friendly environment to slice and dice data. Most of them have nice GUI environments as well.

    13.2. BI Tools Feature Matrix Comparison

    Since Hadoop is gaining popularity as a data silo, a lot of BI tools have added support to Hadoop. In this chapter we will look into some BI tools that work with Hadoop.

    We are trying to present capabilities of BI tools in an easy to compare feature matrix format. This is a ‘living’ document. We will keep it updated as new versions and new features surface.

    This matrix is under construction

    How to read the matrix?
    Y – feature is supported
    N – feature is NOT supported
    . or empty – unknown

    Read the legend for feature descriptions.

    Table 13.1. BI Tools Comparison. Data Access and Management

    Can validate data confirms to certain limits, can do cleansing and de-duping.

    Share with others

    Can share the results with others within or outside organization easily. (Think like sharing a document on DropBox or Google Drive)

    You can slice and dice data on locally on a computer or tablet. This uses the CPU power of the device and doesn’t need a round-trip to a ‘server’ to process results. This can speed up ad-hoc data exploration

    Analytics ‘app store’

    The platform allows customers to buy third party analytics app. Think like APple App Store





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    Online Masters in Business Analytics

    Online business analytics programs flexible, focused, and short are popping up across the country. Every degree is different, so we recommend a good, hard look at all the school profiles. Trying to get a handle on quality? Some of the schools below also appear in our ranking of the 25 Top Schools with Master s in Business Analytics Programs .

    Choosing an Online Business Analytics Program

    Though an online MBA or MSBA is usually less expensive than a campus degree, you still want a solid ROI. Along with a university s overall reputation, the time commitment, and the cost, here are a few other things to consider when choosing a distance learning program:

    1. Will an online master s degree in business analytics advance my career? Does it prepare you for industry certifications (e.g. SAS)? Does it allow you to apply for executive-level jobs? Will you bump you to a higher pay scale?
    2. How do the analytics courses apply to my current work? Strong degrees will find ways to blend your on-the-ground experiences with your online coursework (e.g. team-based challenges). You want to be solving business problems, not just playing with numbers.
    3. What kinds of business analysis projects do online students work on? Use LinkedIn profiles to explore the websites of alumni. Find their GitHub code. At the end of the degree, you should have measurable assets to show employers.
    4. Are the other resources I ll be exposed to helpful? Find out what software and programs you ll be using. Explore the research centers connected to the degree. The aim is to be exposed to the latest technologies and discoveries in your chosen field.
    5. Do online faculty have useful ties to business? Check their profiles to discover a) if they consult or work part-time for companies b) if they re involved in public/private research partnerships c) if they have specific business domain strengths (e.g. industrial engineering).
    6. Who will you meet and how will you meet them? Making new contacts is a major plus of a business analytics degree. Does the format include chatrooms and virtual conferences? Can you talk to guest speakers that you respect?
    7. Where do alumni of online business analytics programs get jobs? LinkedIn is your friend here. You can search for the program s name to find out if graduates are working in your kind of dream career (or not).

    If you re unsure about an online degree vs. an on-campus one, we lay out specific pros and cons in our article on Online Data Science Programs .

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    Clarity Consultants

    WHAT WE DO

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    Learning and Development

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    Instructional Design

    Clarity’s instructional design consultants work with your department managers and executive leadership to help develop talent and performance management practices. They are well-versed in the latest trends in talent management, including social media and mobile devices. They are also knowledgeable in other methodologies, including the competitive assessment model and the coaching and development model.

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    Metrics related to the volume, type, and effectiveness of the training courses offered by your organization provide insights into investments in training and development. This is critically important in maintaining an engaged and sustainable workforce, and in aligning your workforce with the strategic objectives of your organization. Clarity s consultants can assist you with establishing, reporting on, and analyzing valuable learning metrics.

    Learning Analytics

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    Learning Technology

    Organizations increasingly rely on learning technologies to manage their training curriculum and deliver it to employees as well as customers. These technologies also satisfy the compliance and tracking requirements associated with mandatory training in highly regulated industries. Clarity’s learning technology consultants can help you select, implement, customize, and integrate these tools to match your organization’s needs.

    Organizational Development

    Do you have critical organizational development initiatives but lack the necessary resources to implement them? Clarity Consultants can help you accomplish your goals. We offer on-demand expertise in change management, assessment and analysis, executive leadership development, succession planning, and talent / performance management.

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    Do you have critical organizational development initiatives but lack the necessary resources to implement them? Clarity Consultants can help you accomplish your goals. We offer on-demand expertise in change management, assessment and analysis, executive leadership development, succession planning, and talent / performance management.

    Training Delivery

    Whether you need a dynamic trainer to facilitate courses developed internally or acquired through an outside provider, Clarity consultants can facilitate effective knowledge transfer. Our training and facilitation consultants are skilled at adapting their presentation based on the audience and the nature of the training.

    Training Delivery

    Whether you need a dynamic trainer to facilitate courses developed internally or acquired through an outside provider, Clarity consultants can facilitate effective knowledge transfer. Our training and facilitation consultants are skilled at adapting their presentation based on the audience and the nature of the training.

    Design Production Consultants

    C larity’s instructional design consultants work with your department managers and executive leadership to help develop talent and performance management practices. They are well-versed in the latest trends in talent management, including social media and mobile devices. They are also knowledgeable in other methodologies, including the competitive assessment model and the coaching and development model.
    Clarity Consultants was a valued resource to Walmart Stores and Walmart University during our creation of several critical learning and development projects of tremendous scale.
    Walmart Stores Inc. (Retail)

    Modalities

    Many of our consultants have blended learning experience, while others specialize in eLearning, mobile learning (mLearning), informal learning, instructor-led training (ILT), or a combination thereof.

    Content Types

    Fulfill the training needs of all your employees. Our consultants can leverage their subject matter expertise and industry knowledge to develop relevant L D and training content for your organization’s human capital.

    Winning Numbers

    Spice up your numbers with a little color using the parameter. Colors can be used to help convey a statistic more clearly and generate interest.





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