Chris Hubbard

@chriswhubbard Market Strategy

April 10, 2014

  • Tweet This
  • Share on LinkedIn
  • Share on Facebook
  • Share on Google+
  • Tweet This
  • Share by Email

DIY Competitor Analysis – 8 Ways To Understand Your Competition

Knowing who your competitors are and what they are up to is almost always seen as a top priority, but this “top” priority is sometimes lost in a pile of other more important “top” priorities. Although data companies like getchee offer consulting services that help businesses with competitor knowledge, there’s a lot you can do on your own.

Read the rest of this entry »

Sherry Shi

Project Specialist

March 19, 2014

  • Tweet This
  • Share on LinkedIn
  • Share on Facebook
  • Share on Google+
  • Tweet This
  • Share by Email

3 Ways To Evaluate Trade Zones For Extraordinary Business Insight

subscribe

The concept of the retail trade zones has been used by analysts and practitioners in retail site evaluation and other market studies for a long time. In fact, retail trade zones correlate to urban commercial centers. Retail trade zone analysis and evaluation almost always focuses on locating and describing target markets, an essential action of virtually all business, but there are different ways to do this. Here are 3 ways to evaluate trade zones for extraordinary business insights:

Read the rest of this entry »

Kenny Lee

VP, PMDO

March 7, 2014

  • Tweet This
  • Share on LinkedIn
  • Share on Facebook
  • Share on Google+
  • Tweet This
  • Share by Email

Leverage Data for Retail Analysis – In 4 steps

Using and understanding retail data to improve business.

subscribe

The current trend in data collection continues to be for businesses to move away from the paper-based data collection processes of the past, to data collection with mobile devices such as smartphones, tablets and notebooks which not only allow data collection to move freely among locations, and even among different classes of data, but more importantly allows data, in some cases to be instantly sent to databases for quick processing and analysis.

All retailers own data, and all retailers are looking for ways to use this data for business analysis, but not all retailers understand the steps necessary for leveraging their spatial data for retail analysis. So here they are:

Read the rest of this entry »

Eason Lin

Business Analyst

February 13, 2014

  • Tweet This
  • Share on LinkedIn
  • Share on Facebook
  • Share on Google+
  • Tweet This
  • Share by Email

5 Business Intelligence Trends Happening Now

Coming trends you can expect to see in the BI industry.

subscribe

中文版

Business Intelligence (BI) solutions continue to evolve, and are moving in new directions which is good news for those businesses who already rely on a BI solution. Businesses of the future know that the huge amount of data available, both from inside their own organizations and outsourced from companies specializing in expert data (like getchee) can be coupled with BI innovations designed specifically to help organizations improve their business outcomes. Here are some of the trends we can expect to see in the BI industry in the coming years.

Read the rest of this entry »

Eason Lin

Business Analyst

February 13, 2014

  • Tweet This
  • Share on LinkedIn
  • Share on Facebook
  • Share on Google+
  • Tweet This
  • Share by Email

商业智能的未来趋势

Trends businesses can expect to see in the BI industry now.

English Version

现今的商业智能(BI)正处于发展的十字路口,我们知道大量的数据以及创新的使用对于企业的产能有所改善,但究竟商业智能有多少能力以及如何使用商业智能来帮助决策来帮助企业获利一直没有肯定的答案。但从IBM 收购Cognos, Oracle收购Hyperion Solutions和SAP收购Business Objucts,可以知道商业智能仍是许多公司发展的策略方向。以下介绍几个商业智能的未来趋势:

1 – 商业智能在大数据的应用

现今的企业非常容易收集到大量的消费者数据,包含企业的内部数据以及外部的数据。所以企业必须发展一些有效率的策略来获得、组织以及分析这些数据。而数据分析工具和科技的进步以及自助式商业智能的分析可以帮助我们比以往产生更多的分析及预测。

2 – 行动商业智能

更快的网络速度、超级计算机的使用以及更大的储存容量对行动装置上的应用带来革命性的进步。用户可以查询数据在任何时间及任何地方,以便他们可于任何情况下实时作决策。因此企业应该发展更多的行动商业智能以符合现况的发展。

3 – 商业智能在云计算的应用

虽然对于大数据在云计算上的使用以及云计算的安全问题仍有许多争论,但使用云计算仍是商业智能的主流。与其他云计算的产业一样,云计算商业智能的好处如减少数据中心及IT人员维护的成本,更快的调度速度以及更高的弹性以符合商业市场上的变化。而未来由于更高速的云计算发展环境以及更进步的安全措施,越来越多的内部数据以及关键的程序会使用云计算,云计算商业智能的使用也会更为成熟。

4 – 社交网络在商业智能的应用

社交网络和Web 2.0的科技给企业带来新的成长的机会,但同时也可能因为无法妥善处理带来危机。商业智能的社交网络允许用户对于分析报告及数据去进行更多的讨论并评判那一个更为有用,并让用户分享数据、寻求其他人的回馈及评判,以及可设定个人偏好去追踪特定方面的信息。因此企业应该广泛使用商业智能的社交网络,提供平台使得企业员工、客户以及其他伙伴更紧密的连接以获得更有用的商业模型。

5 – 自助式商业智能

自助式商业智能让使用者可创造个人化的报告及可自由的查询数据库中的数据而不需靠IT人员的先行设计。使得使用者能更及时获得所需要的关键数据并使企业获得更大的竞争力,并容易在商业竞争上创造新的机会。

Don’t Miss Out. Subscribe now and receive valuable insights each week from the web’s best blog on retail strategy in Asia.

Page 3 of 612345...Last »