Tag Archives: substantial insight

Why Mobile BI becoming the first choice for BI users?

9 Jul

Mobile business intelligence is becoming a leading trend within the BI market. According to Gartner, one-third of all Business Intelligence access will be through mobile devices in the next few years. Over the past several years solution providers have placed a lot of effort into developing interactive mobile applications that can be used by decision makers on the road. Although it has been a slow road to broad adoption, mobile BI is eventually fathering to make encroachments into the general business intelligence market.

It’s tough to refuse the fact that most of us love our mobile phones, tablets and ipads and with technology advancements and widespread adoption of Androids, iPhones, tablets and iPads it is becoming a big tug-of-war within the office to bring business applications like business intelligence, CRM into these mobile devices. Adding to this many organizations are even adopting a ‘BYOD’ (Bring your Own Device) policy to get started as quickly as possible and vendors are able to provide BI offerings that allow companies to provide enhanced analytics and information access.

Expanding Mobile BI market

Speed, power, money, followed by interactive dashboards and parametric reports are the reasons for businesses to deploy mobile BI as a key element of their BI environment. The adoption of iPad and tablets eventually becomes the first choice for BI users. Predicting the potential user centric market many vendors have started their development efforts in expanding the mobile BI by bringing in attractive dashboards, user friendly navigation etc, while organizations too are slowly switching their adoption towards the mobile BI than implementing an in-house solution.

Vendor’s delivery model

Companies like ZSL, expands their mobile BI offerings to meet business needs and offer high level of interactive dashboards and ease of use full spectrum BI applications that provide end users liberty to do proper decision making. Eventually these features and functionality within the mobile environment as similar as web-based or desktop application leverage an alternative solution to the BI users. Consequently organizations will no longer required the option of selecting on-premise BI; they would rather prefer a single solution choice of Mobile BI with more real-time, in-memory and advanced analytical access.

Although it is just the outset of the mobile development, more advanced solutions will be developed constantly to fulfill the growing requirement of the users on the roads. With continued growth in mobile application development and analytics integration, companies can get a complete insight of what is happening within their organization.

Rage on iPads and tablets devices

The increasing rage on iPads and tablets is yet another reason for the users to prefer mobile BI. Users have widened their adoption to iPads and Tablets PCs and vendors to support the increasing demand are developing application that can be easily be integrated with any platform. As the use of tablets and iPads are invariably increasing, BI adoption is more likely to expand exponentially within organizations as usage patterns expand to more employees

Sales Analysis and Visibility for the users

Aside from overall use, sales analysis has always been at the forefront of mobile BI adoption. This provides the basis for more in-depth analysis in relation to customers, suppliers, product movement, and industry. Therefore, sales managers and other users involved in partnering or supply chain management (SCM) will no longer need to download or refer outdated reports henceforth more opportunities in hand and more business relationships providing visibility to their business.

Mobile BI is here to stay, and will continue to grow rapidly, as employers increasingly look to keep managers and decision-makers “on the hook” on a 24×7 basis. In other words, certainly there’s hope — but there’s also hype.

About the Author

Shaughn is an industry analyst for business intelligence. For over ten years, he has assisted clients in business systems analysis, software selection and implementation of enterprise applications. Shaughn is the channel expert for BI for the small and Mid-Market segments at ZSL and conducts research of leading technologies, products and vendors in business intelligence, marketing performance management, master data management, and unstructured data. He can be reached at shaughnk@zslinc.com. And please visit Shaughn’s blog at zslbiservices.wordpress.com

AN APPROACH TO MAKE BETTER DECISIONS

3 Jul

The essence of management is making decisions. Managers are perpetually involved to measure alternatives and make decisions for a wide range of problems. Just like we have different managerial styles, there are different decision-making styles. Decision-making is the heart of strategy deployment. Making decisions involves uncertainty and risk, and decision makers have varying degrees of risk aversion. It must be coherent, relevant and rapidly taken. Decision making also involves qualitative and quantitative analysis and some decision makers prefer one form of analysis over the other. Decision making can be affected not only by rational judgment, but also by non-rational factors such as the personality of the decision maker, peer pressure, the organizational situation, and others.

The most essential raw material when making a decision is your Information. Organizations today have access to almost unlimited amounts of data – sales, demographics, economic trends, competitive data, consumer behavior, efficiency measures, financial calculations, etc. However, many decision makers in organizations feel mazed and bewildered. They have islands of data and still are not capable of making the correct decisions, or understanding where they really are. They fall under the hallucination that mere data is enough. If we have the data and facts, then what more do we need? In today’s connected digital economy, it is very easy to get data yet it is difficult to convert this data into meaningful information for a perfect decision making.

Here are few approaches you can adapt to make better decisions.

  1. Work on the right decision problem. Be careful in stating the problem, and avoid unwarranted assumptions and option-limiting prejudices.
  2. Specify your objectives. Determine what you want to accomplish, and which of your interests, values, concerns, fears, and aspirations are the most relevant.
  3. Create imaginative alternatives. Alternatives represent different courses of action, and your decision can be no better than your best alternative.
  4. Understand the consequences. Determine how well different alternatives satisfy all of your objectives.
  5. Grapple with your tradeoffs. Since objectives frequently conflict with each other, it becomes necessary to choose among less-than-perfect possibilities.
  6. Clarify your uncertainties. Confront uncertainty by judging the likelihood of different outcomes and assessing their possible impacts.
  7. Think hard about your risk tolerance. In order to choose an alternative with an acceptable level of risk, become conscious of how much risk you can tolerate.
  8. Consider linked decisions. Many important decisions are linked over time. The key to making a series of decisions is to isolate and resolve near-term issues while gathering information relevant to issues that will arise later.

To know more on how we have created better decision systems, please talk to Shaughn Knight.

Concept of Social Business Intelligence

18 Jun

Business Intelligence and Data warehousing services have been acquiring greater part of the information technology in the recent years. Although the BI tools and services are quite expensive, still companies required them in order to make right business decisions and remain efficient to provide their customers, clients and members with high quality service. There were key decisions made in organizations every day and executives had to rely exclusively on data-driven systems. These systems were aggregated into Business Intelligence (BI) platforms, showing key data from all of the systems in the organization. As these systems were purely data-driven and therefore backwards looking, they had no ability to incorporate real-time, rich, insightful knowledge – human knowledge. The fact is that data systems simply cannot keep pace with the rapidly changing business landscape. Whether you’re trying to track time-to-market for a product, determining competitor actions, or forecasting sales of a new product, your people have important information and context to share. They talk about it in the cafeteria and in the hallways, but it’s not in your BI systems.

So comes the Social BI

What is Social BI?

Social BI is nothing but the idea that we can consolidate from the social information to make better-informed choices that has imbued our lives. Social BI aims to bring that same power to making better business decisions. To be precise or simple social BI helps you to make right business decision through the socially available information in Wikipedia, facebook, twitter about your product, competitor or services.

Social business intelligence can offer organizations a means of achieving more accurate, and therefore more useful, data. People consistently express personal opinions on a diverse range of subjects via social media sites such as Facebook and Twitter. By monitoring, compiling and analyzing freely-shared thoughts on these sites, firms can gain substantial insight as to how their industries, organizations, products and services are viewed by the public. This information can then be leveraged to improve their offerings.

Business intelligence tools provide organizations with the means of transforming the monumental amounts of data generated on social media channels into a usable format. However, social business intelligence tools are only useful when properly implemented. To improve the quality of that data and their ability to analyze it, many organizations invest in association members’ software containing advanced business intelligence tools. By doing so, a firm can improve its knowledge of the industry and its customers and use that information to become more efficient, more productive and more appealing.

For more information on Social Business Intelligence, contact Shaughn Knight