The amount of data generated throughout today’s manufacturing process – from product development to production and post-sales support – is astonishing. That said, the capabilities to utilise such data volume is not yet catching up. For instance, an oil-exploration company was able to collect more than 30,000 pieces of data from one single drilling rig. Most of that data, however, was wasted.
Why an ERP and Business Intelligence Integration Is Crucial for Manufacturers
Posted by Ho Nguyen on Tue, Jan 22, 2019
Topics: Enterprise Resource Planning ERP, Analytics, Business Intelligence
Revenue Management at the Touch of a Button: the Success Story of Vienna House
Posted by Thai Pham on Sat, Nov 17, 2018
Vienna House is an Austria-based hotel chain that currently has 34 hotels under its brand. The brand is famous for their classic Viennese charm with a touch of modern comfort. During the past five years, Vienna House has grown and acquired a few more hotels. The steady growth brings in the inevitable IT challenge: the need for a revenue management system to help unify and manage all of the hotels in the group.
Topics: Hospitality solutions, Business Intelligence, Financial consolidation, planning and reporting
How Infor d/EPM Benefits CFOs in Discrete Manufacturing
Posted by Thai Pham on Sun, Nov 4, 2018
If your business is in need of a full-fledged reporting and financial performance management software with built-in deep analytics, business intelligence, plus the capability to help you gain a holistic real-time view of the entire business performance, Infor d/EPM might be the one that you’ve been looking for.
Topics: Business Intelligence, CFOs, Financial Accounting Management Software
What is AIOps and Why It Will Shape the Future of Enterprise IT Ops
Posted by Thanh Nguyen on Thu, Sep 27, 2018
You’ve heard of Digital Transformation, but do you know what comes after it? A long leap in technology will result in more changes in both IT ops and DevOps. From the vendors’ point of view, they have to adopt a new vision, from simply focusing on big data or machine learning, to the inception of a new generation of platforms that unify both of the technologies.
And the changing pace will only escalate drastically, leading to the rise of AIOps.
Topics: Technology trends, Analytics, Business Intelligence
Making a Business Case for Networked (Cloud) Business Intelligence
Posted by Ho Nguyen on Tue, Aug 28, 2018
Networked Business Intelligence (BI) leverages new capabilities to truly combine the centralised and decentralised models of BI, delivering the best aspects of both: end-user self-service without analytical silos. It is a new approach to analytics based on the idea that trusted and well governed data is not at odds with speed and ease of use.
Topics: Business Intelligence, Analytics, Cloud Computing
Going from Raw Data to Trusted Analytics with Connected Data Prep
Posted by Ho Nguyen on Wed, Jul 25, 2018
Birst’s Connected Data Prep empowers business people to access and prepare data with a user-friendly, visual experience that eliminates the need for complicated scripting. Not only that, with Connected Data Prep you can network your analytics with data from colleagues, other departments, or your IT organisation, enriching your insights for smarter, more trusted decisions.
Topics: Business Intelligence, Analytics
What is Data Lake?
Posted by Ho Nguyen on Mon, Jul 23, 2018
The data lake concept centers on landing all analysable data sets of any kind in raw or only lightly processed form into the easily expandable scale-out Hadoop infrastructure to ensure that the fidelity of the data is preserved.
Topics: Analytics, Business Intelligence
The Evolving Role of IT in Modern Business Intelligence
Posted by Ho Nguyen on Mon, Jul 23, 2018
Since its inception, the primary objective of business intelligence has been the creation of a top-down single source of truth from which organisations would centrally track KPIs and performance metrics with static reports and dashboards. This stemmed from the proliferation of data in spreadsheets and reporting silos throughout organisations, often yielding different and conflicting results. With this new mandate, BI-focused teams were formed, often in IT departments, and they began to approach the problem in the same manner as traditional IT projects, where the business makes a request of IT, IT logs a ticket, then fulfils the request following a waterfall methodology.
Topics: Analytics, Business Intelligence
Building a Digital Supply Chain with Cloud BI: the Citrix Case Study
Posted by Ho Nguyen on Wed, Jul 11, 2018
Imagine a cloud Business Intelligence system that can aggregate and analyse data from 400 data sources in a single view, go live in fewer than 90 days, and help achieve a five-fold increase in inventory turns. Let’s have a look at the Citrix case study, focusing on how Citrix has solved its data analytics problem and architected its digital supply chain with Birst.
Read more: Cloud Business Intelligence for E-commerce: a Case Study of Build.com
Topics: Business Intelligence, Cloud Computing
Cloud Business Intelligence in eCommerce: a Build.com Case study
Posted by Ho Nguyen on Wed, Jun 27, 2018
Cloud-based Business Intelligence (BI) is the future. And one of the first BI vendors to capitalise on this trend is Birst - "the only enterprise BI platform in the cloud." This article will provide you with a case study of how Build.com drives their business forward with Birst’s cloud BI system.
Topics: Cloud Computing, Business Intelligence