November 17th, 2015

BusinessIntelligence_Nov16_B Business Intelligence (BI) software has helped thousands of small and medium-sized businesses around the globe increase profits and improve efficiency. If you think your business will enjoy similar success by simply installing some software you are sorely mistaken. You must plan BI implementation wisely in order to see the results you want. Here are a few things you should take into consideration.

Quite a few business owners see other companies using BI software and tools successfully and hope to emulate those results. Unfortunately, BI goes far beyond installing a program on your employee’s computers and expecting them to churn out results because of it. In fact, without proper planning in place, you could end up losing money on your BI investment.

If you’re ready to bring BI software and tools to your small or medium-sized business but aren’t quite sure what your should be looking for, here are four things you need to consider during the planning process.

What data do you need to know

BI software is great at helping you obtain data and presenting it to you in all kinds of different ways. But it’s only helpful if you can actually use the information. Too many businesses jump on the BI software bandwagon because they hear about the great results other companies have achieved using these tools. However, if you don’t know what information you’re looking for or how to use that data to your advantage, BI software essentially becomes a toy for you and your staff to play with.

That’s why you need to fully understand what information and data your business needs before implementing any BI software. This will help you pick the best tool for your needs and then utilize it to great effect.

Create specific goals

When you are planning to implement BI software it is vital to have a specific endgame in mind. Increasing profits sounds great but it’s hard to utilize BI effectively when tackling a goal of that magnitude. Instead focus on performance metrics you can measure like higher closing rates or more online conversations. This will help make your planning easier and allow you to find the BI tools required to reach those goals as well as track your progress along the way.

Think about today and the future

It is important to not only think about BI software in correlation to your short term goals but your long term ones as well. You want to make sure your BI software is useful both now and in the future. Find something that can grow alongside your company over the long haul. You don’t want to constantly be changing or adding on to BI tools unless it is absolutely necessary. If possible, find BI solutions that are scalable and flexible so they can help over a longer period of time.

Keep it simple

Sometimes the desire to know more about your company can see you end up overloading your staff and employees with complex toolsets and data. The goal, especially for small and medium-sized businesses, should be data that is quickly accessible and easy to comprehend. This will allow you and your team to make speedy and informed decisions. Convoluting the process with unnecessary information or complicated process will only serve to negate what you are trying to do by installing BI software in the first place.

BI tools and software are designed to help you work smarter, not harder. When you plan to bring them to your company, this is something you will want to keep at the forefront of your decision making process.

If your company is looking to start utilizing BI tools, our team of experts can help. Together we can create a BI plan that works best for your business.

Published with permission from Source.

October 6th, 2015

BusinessIntelligence_Oct5_BOrganizations are using business intelligence (BI) tools to gain insight about their customers, sales, and the effectiveness of their marketing activities, allowing them to make faster and better-informed business decisions. There are two forms of BI that organizations can invest in: the traditional version, and self-service. While both can offer valuable data, self-service BI is a shade more efficient than the traditional system.

What is self-service business intelligence?

Self-service BI is a reporting and analytics platform that business users with limited IT knowledge and experience can use for themselves. Simply put, if an end user trying to find an answer to a business question can access, use, and generate reports without bothering the IT department or data analysts, then they’ve done self-service BI.

The end goal of self-service BI is to eliminate redundant processes where users have to request access and assistance from data analysts and technology experts. With self-service BI, users are able to gather information, analyze it, and share the reports with others, without having to know the technical protocols required to access the data.

Traditional vs. self-service

In traditional BI systems, analysts create reports based on input data, and deliver them to key decision makers. In the case where the decision makers need more detail or different data, or change their business questions, analysts have to adapt the report or create new ones.

Self-service BI is designed to eliminate this time-consuming reporting process, placing much of the responsibility for report creation on end users. It opens the door to data exploration and new possibilities. Instead of asking analysts to generate reports, end users have the ability and tools to find the answers to their own business questions whenever they want.

How self-service BI can benefit your business

Self-service BI helps improve organizations in various key areas. Here are just some of the benefits it has for your business.
  • It saves time - most likely there are far more people asking business questions than there are IT experts creating reports to answer them. By removing the dependency on data analysts and technical staff, companies are able to improve the efficiency of their analytical process and save time, as end users can find the answers to their questions themselves.
  • It eliminates mistakes - the more decisions users have to make, the less likely they are to make the right ones. Self-service BI helps ease the decision-making process by delivering nearly instant reports and visualizations that are easy to understand. Users can analyze their data from any angle and deduce answers without having to consult specialists.
  • It reduces costs - since end users are able to utilize self-service BI with little to no training, training and support costs are significantly lower than other BI solutions. What’s more, self-service BI platforms can be accessed from anywhere and at any time, without the need to install expensive hardware and servers, allowing businesses to save money.
There are plenty of benefits of adopting self-service BI. As more employees are able to analyze and explore data by themselves, decisions can be made much faster and at a far lower cost. Want to learn more about business intelligence and how you can implement it in your organization? Give us a call today.
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August 26th, 2015

BusinessIntelligence_Aug25_BAs you seek to better understand your customers and make more informed business decisions, dashboards are a critical addition to your business intelligence toolbox. But there are many types of dashboards out there, each with unique purposes - how do you determine which one is best for your company? We’ve listed three of the most widely used dashboards below.

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.

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July 22nd, 2015

BusinessIntelligence_Jul21_BData visualizations, when done properly, are the best and easiest way for us to understand a vast amount of information. Businesses are able to utilize data visualizations to great advantage, from summarizing annual sales report to visualizing marketing strategies in an easy-to-understand format, and much more. A poorly presented visualization, however, can not only show misleading information, but it might also confuse business users into making wrong decisions. Make sure you don’t fall victim to these common data visualization mistakes.

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.

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June 20th, 2015

BusinessIntelligence_Jun9_BBusiness intelligence (BI) involves the use of a variety of software and applications to analyse a company’s raw data, and present it in a way that’s easy to understand and enables effective business decisions to be taken. But in reality, many businesses fail to have an effective BI strategy in place, causing them to lose large sums of money. Here are five common BI mistakes you need to know, so you can take deliberate measures to 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 utilised. 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 prioritise 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 analyse raw data and turn it into valuable information that can be used in business decision making. But some organisations fail to exploit the information fully – it is not shared, not analysed, 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 Source.

May 27th, 2015

164 B_Biz IntelWhen you were new to the world of websites and analytics, your goal may have initially been to increase your business’s site traffic to maybe 50 visitors a day. Once you hit 50, you then reached 100 soon after, and then 200. Yet with each higher traffic milestone realized, you didn’t see the corresponding sales conversion. What happened? When it comes to website analytics, it’s not all about traffic. Engagement with your site content is just as important. Here’s how to track your engagement metric using Google Analytics.

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 Source.

May 13th, 2015

BusinessIntelligence_May12_BA dashboard is a business intelligence tool used to display metrics and key performance indicators (KPI) for organizations. The tool has grown in popularity over recent years, since implementing business dashboards has become cheaper and easier than ever before. Dashboards gather two or more KPIs and statistics and turn them into a visual interface. By implementing dashboards you will have an overall view of your business, or at the very least some parts of it. Here are some uses of dashboards in real-life business situations.

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 Source.

April 29th, 2015

BusinessIntelligence_Apr28_BWhat does business intelligence mean to you and your company? Most business owners think they have a pretty good idea, when the reality is that our grasp on this most vital of business tools is all too often outdated and no longer fit for purpose. Just like other concepts and tools inside and beyond the corporate world, the ideas behind business intelligence have seen dramatic changes in recent years - fuelled not least by the arrival of a new generation of entrepreneurs who have set out to do things differently. If you can still see these outdated beliefs in your approach to business intelligence, it’s time to change.

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.

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April 22nd, 2015

BusinessIntelligence_Apr14_BBusiness intelligence tools should be on the radar of every entrepreneur. Without them, how can you know where your organization is doing well, where it needs to improve or how it is going to grow? Microsoft recognizes the growing significance of the business intelligence market and has just acquired Datazen, a three-year-old business intelligence and data visualization platform. The move follows Microsoft’s release earlier this year of the free Power BI product. So, whether you’re a current Datazen user, or are looking for a new business intelligence solution for your company, 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.

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April 1st, 2015

BusinessIntelligence_Mar31_BIn today’s competitive business environment, large companies have operations in many places within their home country and other parts of the world. Each of their branch offices may generate huge volumes of data on a daily basis, and corporate decision makers require access to those data sources. This is where data warehouses come in. The data warehouse is one of the most important business intelligence tools a business needs to have. It turns the massive amount of data generated from multiple sources into a format that is easy to understand. Here’s some background information about data warehouses and their key benefits for businesses.

Data warehouses defined

A data warehouse is a central store of all data generated by the departments of a large organisation. 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 the 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 summarise 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 standardised 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 Source.