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August 26th, 2015

BusinessIntelligence_Aug25_CA dashboard is a single display that provides all the information you need to make important business decisions and facilitate the management of your company. While all dashboards are effective, you need to choose the one that works best for your company’s objectives and goals. With that said, here are three types of business dashboards for you to consider.

Strategic dashboards

Ideal for senior managers and executives, strategic dashboards are designed to help identify potential opportunities for business expansion and improvement. This type of dashboard doesn’t provide information in-depth enough to make complex decisions, and is typically is updated once a month or quarter.

Benefits of strategic dashboards As the name suggests, strategic dashboards are designed to provide strategic guidance. The dashboards give a bird’s-eye view of your business. They can contain anything from overall sales numbers to sales and revenue comparisons, or inventory levels, making it easy for executives to understand the overall health of the organization.

Analytical dashboards

This type of dashboard provides users with insights from a volume of data collected over time, enabling you to understand why certain things are happening, and what changes should be made in the future in order to accommodate them. The data presented in analytical dashboards tends to be complex, and usually requires advanced training to use. That’s why they are generally used by business analysts, instead of being widely deployed to other employees and across all departments.

Benefits of analytical dashboards When it comes to creating and implementing strong business strategies, understanding the trends and events in your data is crucial. Analytical dashboards provide detailed information that allows you to compare current against historic data. Implementing analytical dashboards allows you to enjoy in-depth analysis, identify patterns and opportunities in your data, and determine why processes are working in certain departments.

Operational dashboards

Operational dashboards are used to monitor the real-time operations of employees, allowing them to measure the effectiveness and efficiency of their work performance. This type of dashboard is commonly found in departments where it’s essential to respond to critical information quickly, such as those working in sales and marketing.

Benefits of operational dashboards Business owners rely on operational dashboards to track their employees’ progress, and to be notified of issues as they come up in order to respond quickly. What’s more, the dashboards provide up-to-date information, all bundled in one place, making it easy for employees to make quick decisions without having to dig through large amounts of data.

Dashboards concentrate all data, metrics, and parameters in one place, bringing a totally new dimension to business intelligence. Your company can significantly benefit from the right dashboard. If you’re looking to implement dashboards for the first time, or to enhance the functionality of your current dashboard, get in touch with us today.

Published with permission from TechAdvisory.org. Source.

July 21st, 2015

BusinessIntelligence_Jul21_COne of the best ways to present complex business data and reports is visualization. Good data visualization can significantly help users to take in a vast amount of information in a short period of time. But of course, not everyone is a data visualization expert, which is why much of the visual content we see nowadays is often ineffective and jam-packed with information. If you’re looking to create great data visualization that appeals to readers, make sure to avoid these data visualization pitfalls.

Inconsistent visualizations

It’s important to be consistent when presenting your data, otherwise users will have to stop and figure out how to read each new picture before they can comprehend what it says, wasting time and defeating the purpose of data visualization. Luckily, there are some best practices you can follow. For instance, try choosing colors that go well together. Use only 2-3 colors at most throughout your visualization - any more and you’ll find that your pictures might be hard to read. Also, use the same iconography and typography in each picture so your audience can quickly understand the information.

Displaying too much data

Overly complicated data visualizations are sure to turn off most audiences because they can’t figure out where and what to focus on. Your customers, colleagues, and employers want specific, relevant answers. The quicker you can deliver those answers, the better. Irrelevant data gives your presentation a cluttered look, making finding relevant information more difficult for readers. The solution? Find a compromise between showing too much data and not showing enough overall. Use good judgement.

Oversimplifying data

The purpose of data visualization is to present data in a way that’s easy to understand. While it’s all too easy to simplify data, if you go too far and leave out crucial parts, your audiences won’t be able to see or grasp the main point of the presentation. Instead of trying to oversimplify data, it’s better to include all important criteria and organize them into a structure so audiences can easily understand what’s being presented to them.

Choosing the wrong visualization

This is one of the most common mistakes made in data visualization. There are many different types of data out there, and each of those types require different analytics and tools to use. For example, if you want to present a sales growth comparison in the last 5 years, it’s better to use bar charts that can clearly show the difference at a glance. If you want to show a relationship between two metrics, on the other hand, you should use a scatter chart to show results.

The best way to avoid all these errors is to focus on your goals first. It’s likely that you’ll have to make changes along the way, which is actually a good thing, because it will make your presentation more accurate and effective.

Want to learn more about other business intelligence tools to implement in your company? Give us a call today.

Published with permission from TechAdvisory.org. Source.

June 19th, 2015

BusinessIntelligence_Jun9_CClued-up companies rely on business intelligence (BI) in order to make informed decisions regarding their future. Yet even though businesses invest in BI, they often make mistakes resulting from a lack of knowledge about how best to implement it, and can end up losing more than they can afford. Here is a round-up of common BI mistakes encountered by businesses, and how you can avoid them.

Mistake #1: Not defining business problems

One of the biggest mistakes in BI implementation is jumping to conclusions too soon without first identifying what your business wants to accomplish. When it comes to integrating BI into business operations, there’s no such thing as a one-size-fits-all solution. Looking for a single BI tool to solve all analytics problems is one of the main reasons many BI projects fail.

You need to clearly define the business problem you’re trying to solve, and understand the specific tools required to solve those problems. Only then will you be able to select and purchase the BI tool that best suits your needs.

Mistake #2: Not getting buy-in from end users

Even the best BI tools are ineffective if they’re not properly utilized. Forcing your employees to use newly purchased BI technology without informing them or hearing their thoughts beforehand is a big mistake.

Instead of telling employees they have to use something, first focus on highlighting the benefits of the new BI system. Help employees understand why they’ll want to use it, and convince them by showing them what they stand to gain from the new BI technology.

Mistake #3: Rushing implementation

A rushed deployment of new technology is often times not a successful one. When it comes to deploying BI solutions, patience is key. If you hurry into BI implementation too quickly, your end users may not have enough time to develop the skills required to use the software effectively.

Take an incremental approach to implementing BI solutions. Make a list identifying business problems and, rather than expecting to solve every business problem all at once, try to prioritize specific outcomes you want to achieve. When you have solved the first issue, move on to the next one and so on until you have incrementally solved all the problems on the list.

Mistake #4: Insufficient training

New BI systems are complex structures that require a lot of training in order for users to make the most of them. If users lack the skills necessary to operate the software, then bottlenecks can occur. The product may be left dormant for long periods of time as users wait for experienced IT staff to resolve teething problems.

Spend wisely on providing ongoing training, so that users really understand how to use the system. Consider hosting weekly lunch sessions where a different aspect of the BI system is discussed. You could also provide online training videos that enable users to learn more about the new system at their own pace.

Mistake #5: Not making use of information and reports

BI tools are designed to analyze raw data and turn it into valuable information that can be used in business decision making. But some organizations fail to exploit the information fully - it is not shared, not analyzed, and not acted on. BI software can generate reports on various data points, identify risks, and predict trends. It’s important to leverage the information gathered and to apply it to your business’s objectives and goals.

Business intelligence software is a highly useful tool that, when used properly, can drive your business forward. Avoid these mistakes in order to make the most of your BI solutions. If you’re looking to implement BI tools to your company, contact our experienced consultants today and see how we can help.

Published with permission from TechAdvisory.org. Source.

May 26th, 2015

164 C_Biz IntelAre you getting a large amount of traffic to your site but not seeing a corresponding match in product or service sales? This is a head-scratching dilemma that many small business owners will face at one time or another. The reason behind it can be summed up in one word: engagement. A high amount of visitors doesn’t necessarily translate into engaged customers. Here’s how you can use Google Analytics to change that.

How do you measure engagement?

Just because a page receives a large amount of traffic, doesn’t mean it has quality content on it that visitors value. Half of the visitors to your most trafficked blog post or service page can easily bounce within seconds. So to figure out which pages your customers like, you need to measure engagement. And the easiest way to do that is by looking at the amount of time a visitor spends on a page.

Generally speaking, if a visitor is on a page for five minutes or more, they’re likely reading, watching or listening to some form of content you posted. Of course there’s the off chance that maybe he or she took an extended bathroom break after landing on your page or forgot to close it and continued surfing the web in another window. But if a consistent number of visitors are spending several minutes on a given page, you can feel confident that most of them are engaging with the content.

Why does engagement matter?

Simple. The more your visitors engage with your content, the more likely they’ll visit your website again or - even better - become a loyal customer.

You can measure engagement by following these four steps in Google Analytics:

1. Track engagement over a long period of time

We’re not just talking a month or two, but more like years. This will show you which pages are performing best in the long run. To do this, open Google Analytics. Then in the top right corner of the screen, input your date range and then click Apply.

2. Measure all pages

You need to look at time spent on all your pages to see what’s performing best. In the navigation bar to the left of your screen, click on the following in the order below:
  1. Behavior
  2. Site Content
  3. All Pages

3. Compare the average time visitors spend on a page

Under the main graph that displays visitor numbers to your site, you'll see a search box with the word “advanced” next to it. To the right of that, you'll see five buttons. Click on the second button from the right - the Comparison button. To be sure you’re clicking on the correct one, hover your mouse over it and the word “comparison” will pop up.

Slightly below the comparison button and to the left, choose Average time on page as your secondary metric.

4. Mind the Green bars

After you’ve followed the above steps, green bars will appear to the right of some of the pages displayed. The higher the bar, the greater amount of time a visitor is spending on a page.

With this data at your disposal, now you can understand what content your customers find valuable - and then focus on creating more of it.

Want to know more about how to gain valuable insights from your business data? Give us a call today.

Published with permission from TechAdvisory.org. Source.

May 12th, 2015

BusinessIntelligence_May12_CThe data dashboard has become increasingly popular for businesses over the past few years - it is a great data visualization tool that allows you to have an overview of your business at a glance. Since we all are more accustomed to taking in visual data than written words, dashboards are an important part of any successful data analytics process. There are many types of dashboards, depending on the area of use. Let’s take a look at how dashboards can support your business activities.

Marketing insights

The marketing department in an organization typically analyzes a significant amount of data from various channels. Whether the purpose is to forecast monthly sales, predict trends, or build marketing strategies, marketing officers need to compare, sort, and analyze raw data in order to present it in an understandable format using dashboards. Once raw data has been polished into meaningful information and presented to business executives, key decision makers are able to make choices based on that information.

Tracking sales opportunities

Sales dashboards are perfect for tracking various products and services throughout their lifecycle. With sales dashboards, you can identify sales opportunities by monitoring top-selling products and comparing the growth in revenue on a periodical basis. The implementation of sales dashboards eliminates the need to spend hours manually entering data and preparing sales reports, spreadsheets, charts, and manual data.

Social media management

There’s more to social media management than posting regularly on your business’s social media accounts. And in most cases, the default dashboard offered by your social media platform doesn’t give you a deep insight into your social media campaigns. What’s more, managing multiple social media accounts can quickly become a cumbersome process since you have to use several login credentials. That’s where dashboards come in. You can manage your accounts all at once through a comprehensive social media dashboard, saving you valuable time and effort.

Financial reports

Presenting financial data is so complex that, if not handled by competent employees, will often lead to misinterpretation and misunderstanding of critical data. Dashboards make creating financial reports much easier, and financial analysts can take advantage of dashboards to display sensitive data in a comprehensible graphical format - be it customer invoices, progress toward revenue goals, or business expenses.

Project collaboration

Businesses of all sizes require their employees to collaborate on projects, whether it’s on-site or online. Project supervisors need to get their teams together, in order to give them an insight of the projects’ requirements, deadlines and responsibilities, and to learn about the projects’ progress. With the help of project collaboration dashboards, members will see the complete workflow of the project, allowing for a more efficient and collaborative working environment.

Dashboards can truly take away the complications of presenting complex business data. If you’re looking to implement business intelligence tools to simplify your company’s data analysis process, drop us a line today and we can help.

Published with permission from TechAdvisory.org. Source.

April 28th, 2015

BusinessIntelligence_Apr28_CIf you think you understand business intelligence and its importance, think again. Plenty of business owners think they have a realistic grasp on this tool that can and should inform your organization’s decisions and help you to plan for growth and development. But, in reality, many have a concept of business intelligence that is grounded in outdated practice. If it’s been a while since you gave yourself a refresher on what business intelligence really means, what it can do for your company and what you need to do to draw the most from it, then keep your eyes open for these mistruths and be prepared to show them the door.

Business intelligence should be simple

For too long now, business owners have been fed the idea by business intelligence tool providers that the means by which we understand our organization’s success should be as easy to digest as possible. That has led companies to take an overly simplified view of business intelligence. It is one that just doesn’t deliver the same depth of useful analytical detail that we need if we are going to really understand what’s behind growth (or lack of it). Nor does it allow us to genuinely develop a sense for the direction our companies need to be moving in - and how to get them there.

While simple business intelligence tools will work just fine for some organizations, the majority of us need to be demanding more complex, sophisticated tools to manipulate and generate value from the wealth of data that is at our fingertips. We are in an era where there is still value to be gained, but you have to dig a little deeper for it - and if you’re using outdated software that just isn’t up to the job, you’re going to struggle.

Big data is the be-all, end-all

We have no problem with big data - large-scale changes in industry practices, and our understanding of the ways our businesses work and grow, depend on it. But there’s a mammoth difference between using big data for the sake of it - because we’ve got into the mentality that its ability to deliver industry-wide improvements means it’s the magic cure for our organizations - and putting in place solutions that enable our front-line staff to actually use it.

After all, what’s the point in generating terabytes and terabytes of information if our outdated business intelligence tools aren’t capable of empowering non-technical staff to gain true insights into customer behavior, sales patterns and the like? Recent business intelligence sector developments mean that our companies can benefit from quality tools to visualize simple data collections, but the ability to do the same on a larger scale is still lacking. The lesson? If you’re looking to reap the rewards of large-scale data collection, equip your team with the tools that allow them to perform quality analysis.

The cloud alone is the answer

“The cloud” is the IT industry’s latest buzzword, but too often it gets touted around as an all-round solution that will solve each of our woes, without us really understanding its true purpose or how we can get the most from it. This is particularly the case in relation to business intelligence, where company owners are frequently led to believe that they can instantly enhance their business intelligence capabilities simply by moving everything upstairs to the cloud.

We’re big fans of the cloud and believe that with proper understanding and implementation it can pay real dividends. But the truth is that simply repeating your usual business intelligence routine - but doing so in the cloud - isn’t going to change much. If your business intelligence tools are too conventional and don’t offer enough flexibility, that will still be the case even if you put cloud technology over the top of them. It’s important to address the underlying issues before you contemplate a move to the cloud, so that you can truly reap the advantages of both changes.

If you’re guilty of being stuck with an outdated, or just off-center, view of business intelligence, give us a call to see how we can update you and help you to get the most out of it.

Published with permission from TechAdvisory.org. Source.

April 21st, 2015

BusinessIntelligence_Apr14_CEvery on-the-ball business owner knows that without business intelligence tools, it’s impossible to know where your company is doing well, where the flaws lie and which is the best path to growth and development. So it’s an exciting move for Microsoft to have recently acquired Datazen, a business intelligence and data visualization service that was launched three years ago. Microsoft’s purchase comes in the wake of its release earlier this year of the free Power BI product, and suggests Microsoft is taking the business intelligence market ever more seriously. Wherever you’re at with business intelligence, here’s what you need to know.

Datazen stands out from the business intelligence crowd in that the tool is built with mobile users in mind. The goal with the conception of Datazen, which was previously known as ComponentArt, was to create a user-friendly business intelligence product that balanced power, simplicity and a pleasant experience for the end user. The software is compatible with iOS, Android and Windows devices, and last year the firm released an update allowing offline use across all platforms.

The move means that Datazen now provides mobility to its users, allowing them to continue working with their business intelligence data wherever they are based and no matter whether they have an internet connection. Connected to the launch of offline capabilities, the same release also improved the synchronization process between the Datazen app and live data sources. This allows users to work with up to 100,000 records locally on any device, and enjoy immediate data retrieval.

In addition to Microsoft’s wider push on business intelligence tools, the company is focused on specifically doing so with the cloud and mobile in mind. This forms part of the corporation-wide priority for innovation in mobile-first, cloud-first IT solutions, identified by CEO Satya Nadella last year. Microsoft says that Datazen’s offering will complement that of Power BI and that, over time, the IT giant aims to integrate the two in order to bridge the gap between on-site and cloud-based business intelligence tools. Datazen is already optimized for Microsoft’s SQL Server Analysis Services.

According to Datazen, its current users can continue to access and use all of its products in their current form. Microsoft has also announced that SQL Server Enterprise Edition customers with at least version 2008 can now access Datazen software at no additional cost. The company claims the move will bring Datazen’s mobile data visualization and interaction possibilities to millions of business users globally.

Learn more about how to implement business intelligence to grow your company - call us today.

Published with permission from TechAdvisory.org. Source.

March 31st, 2015

BusinessIntelligence_Mar31_CAs a small business owner, you’re probably looking into ways to maximize profitability and minimize costs. In order to do that you must make good business decisions, and making sound decisions requires a thorough analysis of all relevant data. That kind of data can be found in a well-designed data warehouse. Businesses have to deal with large amounts of data everyday, and this is where a data warehouse can help. If you’re wondering what exactly a data warehouse is and how your business can use it, here is some information to get you started.

Data warehouses defined

A data warehouse is a centralized store of all data generated by the departments of a large organization. It is specially designed for data analysis, generating reports, and for other ad-hoc queries. A data warehouse extracts the huge streams of data from a company’s operational and external databases and turns them into meaningful data, so business decisions can be made based on this information.

Differences between data warehouses and databases

The purpose of a database is to record and store current data from users. A database is suitable for the traditional type of data storage method. For instance, a bank ATM uses a database to record their customers’ money transactions in real-time. A data warehouse, on the other hand, is a type of database but specifically designed for data analysis. It is used to store and summarize large volumes of historical data.

Benefits of data warehouses

A goal common to all businesses is to make better business decisions than their competitors. Once a data warehouse is implemented into your business intelligence plans, your company can benefit from it in many ways.
  • Better decision-making - Corporate decision makers will no longer have to make important business decisions based on limited data and hunches. Data warehouses store credible facts and statistics, and decision makers will be able to retrieve that information from the data warehouse based on their personal needs. In addition to making strategic decisions, a data warehouse can also assist in marketing segmentation, inventory management, financial management, and sales.
  • Quick and easy access to data - Speed is an important factor that sets you above your competitors. Business users can quickly access data from multiple sources from a data warehouse, meaning that precious time won’t be wasted on retrieving data from multiple sources. This allows you to make quick and accurate decisions, with little or no support from your IT department.
  • Data quality and consistency - Since data warehouses gather information from different sources and convert it into a single and widely used format, departments will produce results that are in line and consistent with each other. When data is standardized, you can have confidence in its accuracy, and accurate data is what makes for strong business decisions.
A data warehouse is essential for any business that wants to profit from sound business decisions. If you’re looking to implement a data warehouse into your business, give us a call today.
Published with permission from TechAdvisory.org. Source.

March 17th, 2015

BusinessIntelligence_Mar17_CAre you thinking of making the move from simple Excel data extraction to more sophisticated business intelligence tools? It’s an essential step for any company looking to up the ante and gain real insights into business performance as of today, and to compare that to your company’s direction in order to understand what’s needed to get there. That said, business intelligence can be a minefield of concepts and terminology, that can seem complex to the first-timer. Here are three jargon-busters to get you on your way.

Reporting

Whether simple or more sophisticated, reporting forms the foundation of business intelligence and is key to knowing how your company is doing - and how to make it do better still. No matter the size of your company, financial reporting helps you to understand your position in terms of revenue and expenditure. Typical reports you might produce on a regular basis include balance sheets, cash flow statements and profit and loss accounts. Business intelligence tools like Enterprise Resource Planning applications can help you get a hold of these reports and customize them to suit your needs, to a level of detail and usability that most of us just aren’t going to manage with a spreadsheet alone.

Data Visualization

Having access to reams of business data is all very well, but in reality it’s not of much use if it doesn’t mean anything to everyday humans. You and your colleagues are business focused and, while you might know your way around a bit of data analysis and your IT systems, you don’t want to spend your lives with your head buried in sheet after sheet of formulae. Frankly, you’ve got better things to be doing than that - like getting on with the day-to-day management of your business.

That’s where visualization comes in. Just what it sounds like, visualization is about taking your raw data and presenting it in a way that’s instantly understandable and meaningful to its audience - whether that’s you as business owner, your boss or your company’s investors. Visualization can help you to convey a high-level overview of business performance, before you drill down to consider more specific areas of your products and services. Some business intelligence tools also offer interactivity to allow you to get exactly what you need from complex data.

Corporate Performance Management

The performance of your business depends on a huge number of factors, and if you are properly preparing for the future then you are considering a multitude of scenarios depending on how those factors play out. That can leave you with multiple versions of your budgets and cash flow statements but, without effective business intelligence software, you’re likely to have that information stored in a messy tangle of spreadsheets.

A better solution is a business intelligence application that allows you to import data from various locations, and adjust your reporting output according to variables in the numerous factors you are forecasting. With speed that those clumsy spreadsheets just couldn’t replicate if they tried, you’ll have at your fingertips a set of responsive, adaptable reports that enable you and your team to spend more time on analysis and making plans for the future.

Want to learn more about using business intelligence to propel your company to greater heights? Get in touch with us today.

Published with permission from TechAdvisory.org. Source.

March 12th, 2015

BusinessIntelligence_Mar10_CCompanies are using business intelligence tools to assist in their business operations. Whether it’s collecting, analyzing or virtualizing data, or creating reports, business intelligence systems can do all this and much more. They also allow companies to make strategic business decisions to increase efficiency at an affordable price. That’s why many small business owners are jumping on the bandwagon and reaping the benefits of BI.

What is business intelligence?

As a business owner, you may have come across business intelligence at some point in your research for efficient business tools. Business intelligence is a term that sounds intimidating, but it’s actually really easy to understand.

BI is a set of tools and techniques that transform raw data into information that companies can actually use for business purposes. You can use BI tools to collect data from internal systems and external sources. That data can then be analyzed and compiled into text or visual reports for corporate leaders, assisting them in making important business decisions.

Benefits of BI for small businesses

When it comes to analyzing data, business intelligence is a cut above other methods like simply pulling data from Excel spreadsheets. Businesses can use BI for many purposes. Here are some benefits.
  • Boost sales - Business intelligence tools can create and analyze data to improve sales. You can send an email to your clients, inserting a link to your website, then monitor their behavior with an analytical tool to subsequently target your emails more successfully. You can also use BI for sales forecasting and to decide on the best method to reach your sales target.
  • Identifying opportunities - BI tools allow you to assess your company’s capabilities and compare your strengths and weaknesses to your competitors. You can also identify market trends in order to respond quickly to change.
  • Better customer service - Customers are the lifeblood of any small business, and you should take customer service seriously. There are BI software programs that collect post-service customer feedback. Your customer service team is informed when they receive low feedback scores, so they can follow up and resolve any issues.

Implementation

After you’ve researched the benefits of BI to your business, the next step is to implement it in your company. The first thing to clarify is your need for business intelligence. Do you want to improve your sales? Are you looking for new customers? It’s important to be clear on this, so that you can choose a BI tool that will provide the best solutions to your problems. Once your objective is clear, it’s time to determine what resources you already have to get the job done. In some cases, your existing tools may be sufficient.

There are lots of BI options to choose from, and you should pick the one that best suits your needs. Want to know how to adapt business intelligence to your company? Give us a call and see how we can help.

Published with permission from TechAdvisory.org. Source.