Tag: business intelligence

Market Entry Strategies

Mergers and Acquisitions as a Part of Your Company’s Growth Strategy

Mergers and Acquisitions (M&A) involves a rigorous process that requires a high degree of detail. For an M&A to be successful, a myriad of processes should be strategically set and executed. There are several reasons why owners of a business or top executives of an organization decide to leverage mergers and acquisitions strategies. One of the key reasons is to kill competition by buying rival companies. M&As’ also help easily boost business productivity, gain new customers, and even seamlessly penetrate into new markets.

Difference between mergers and acquisitions

Although mergers and acquisitions are often blended and increasingly used in conjunction with one another, there are certain fundamental differences between the two terms. A merger refers to two companies which consolidate into a new entity and introduces a new ownership and management structure. On the contrast, in the case of an acquisition, a new company does not emerge. Rather a smaller company and its assets are acquired by a bigger player. Acquisitions generally require a large amount of cash.

Role of M&As in strategic business growth

Infiniti Research has identified some key areas where mergers and acquisitions have proven to be a useful growth strategy:

Cover gaps in service offerings

The occurrence of certain external events or the introduction of new laws and regulations causing the marketplace to change results in a gap in the firm’s offerings. This could prove to be a prime opportunity for a mergers and acquisitions strategy.

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Acquire talent and intellectual property

In most cases, companies attain market dominance through mergers and acquisitions when they are in possession of another firm’s intellectual property. Furthermore, by acquiring another company’s experienced and professional staff, it is possible for organizations to strengthen their processes and pool in new ideas to improve business.

Opportunity to leverage synergies

A strategic mergers and acquisitions are an essential part of a company’s growth strategy and often results in synergies that offer value to both the acquired and the acquiring party. Cost and revenue are two mergers and acquisition-related synergies achieved by companies. Cost synergies involve cutting costs by taking advantage of overlapping operations or resources and consolidating them into a single entity. Revenue synergies alter the competitive balance of power. It creates opportunities to change market dynamics, sell more products, or raise prices.

Develop new business models

The revenue generation and business models vary from one company to another. However, for firms planning to venture into a new business model, the best way to do it is by acquiring a firm which is using the model successfully. This helps companies avoid mistakes due to inexperience.

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How Can Business Intelligence Solutions Benefit Companies in the Transport and Logistics Industry?

Challenges such as increasing compliance complexities, growing competition, volatile fuel costs, and constantly-evolving consumer demand have made it difficult for companies to sustain profitability, let alone expand their market presence. This has taken the tension between maximizing profits and cost-cutting to a new fever-pitch. With the increasing competitive pressure, companies in the transport and logistics industry have been forced to walk the tightrope of delivering a consistent brand experience and balancing price competitiveness. However, growing material and labor costs coupled with market volatility have made it difficult for companies to sustain profitability. This has compelled leading companies in the transport and logistics industry to focus on leveraging benefits of business intelligence solutions for developing effective strategies for growth.

At Infiniti Research, we understand the impact that business intelligence and analytics can have on your transport and logistics business. And to help companies in the transport and logistics industry excel in the competitive market landscape, our team of experts has highlighted the key benefits of business intelligence solutions for companies in the transport and logistics industry.

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Decoding the real importance of market intelligence services in 2019

Expansion is the sign of a healthy business. And with the aid of market intelligence services, business expansion is no longer a distant dream for emerging companies. 

Recruiting more staff, expanding into new markets, and building industry reputation are all exciting developments that come with growth. But in today’s competitive market space, growing businesses face a host of different challenges. As the company grows, business leaders start realizing that there is no “one size that fits all” approach – every new opportunity and problem will eventually start demanding different solutions. What worked a year back may not work this year and may not be the best approach. Identifying and mitigating challenges associated with market entry is essential if the business is to survive. Effective leadership will help business leaders make the most of existing opportunities but leveraging market intelligence services can unlock the doors to a lucrative new market segment.

With the rising pressure to sustain profitability and brand image in the market, companies have started facing the need to outpace their opponents when it comes to retaining and acquiring new customers. There’s nothing more depressing to the stakeholders than slow sales or high competition. Companies of today need to be on their toes and constantly think about ways to attract, serve, and retain their customers. Consumers change with every generation and companies need to be agile enough to serve the market as it stands in any given year. Whether you’re in the healthcare, automotive, manufacturing, or retail industry, market intelligence services are still essential for survival. With that being said, let’s take a look at what is market intelligence below and how it can take your business to the next level. (more…)

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Top 3 Reasons Why Healthcare Needs Business Intelligence

The constantly growing number of data sources and complexities associated with the generation of data within the healthcare organizations have resulted in the need for better decision-making capabilities. Here, the importance of business intelligence tools comes into play. Hospitals and other healthcare organizations need these tools to gain better insights into labor distribution, patient care and satisfaction, clinical operations, administration and management, and daily practices of physician and nurses. Today, in this era of technology, the use of business intelligence in healthcare has become a prime necessity not only for the better utilization of patients’ datContact USa but for offering the best healthcare services. In this article, we have listed out a few important reasons that highlight the importance of business intelligence in healthcare. (more…)

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Business Intelligence Vs. Business Analytics – Similarities and Differences

Today, the business world has become fiercely competitive, and decision makers can’t rely on gut feeling anymore to create long-term strategies. So a lot of high-level words are thrown around in the boardroom discussions. Such terminologies emphasize the use of data-driven decision making. However, the term business analytics and business intelligence are often used interchangeably. But, there is a stark difference between the two. Although many tools Request Free Proposalused in both the disciplines are similar to each other, there’s a fundamental difference amongst them.

Business analytics

The recent explosion of data available to the business world has posted some serious problems to the decision makers. Firstly, how do they process and make sense of such vast amounts of data? Furthermore, how do they find a correlation between multiple variables and successfully predict the outcome by observing the change in one variable? Solving such problems can provide business executives with useful insights that can help in business planning and boost future performance.

Business analytics makes use of statistical tools, models, and predictive modeling to uncover market trends and figure out why things are happening. Additionally, based on the massive amount of data available, certain tools can also accurately predict what might happen in the future based on historical events.

Popular business analytics solutions: SAP Analytics Suite, Birst BI, Tableau Big Data Analytics, and Pentaho BA.

Business intelligence

Business intelligence makes use of an organization’s own data to assess business performance. The ultimate goal of business intelligence is to understand the business performance in-depth and make informed business decisions by eliminating guesswork.

Business intelligence also covers unstructured data sets such as customer feedback, salesperson suggestions, marketing materials, video files, memos, and company reports. As a whole, business intelligence is concerned with the whats, whens, whys, and hows. By analyzing such unstructured and semi-structured databases, companies can monitor their performance and apply predictive and prescriptive analytics as well.

Popular business intelligence solutions: SAP, IBM Microstrategy, and QlikView.

Is business intelligence the subset of business analytics?

Numerous proponents argue that business intelligence is merely a small part of business analytics. Business analytics is the go-to tool which encompasses information management, data warehousing, and predictive analytics. The argument favors business analytics as business intelligence is just a descriptive part of data analysis.

Is business analytics the subset of business intelligence?

However, some argue that business intelligence is merely a user-facing, self-service end of BI. The dashboards and displays are customized to each business’s tailored requirements. Additionally, many ERP packages allow employees to store, retrieve, and analyze available information to generate their own dashboards to assess business performance.

Business analytics vs. business intelligence

Although there may be a lot of similarities between them, business intelligence uses past data to optimize the current or future operations, whereas business analytics analyzes the past and makes a prediction for the future. Despite their differences, the fact is not if one is superior to the other, rather what the business needs. Companies looking to improve operations and increase efficiency may be well-served by business intelligence tools. On the other hand, if the business processes or model requires a significant overhaul business analytics should be the go-to tool. Also, companies working on extensive data sets and need data warehousing and intuitive reporting must use business intelligence tools.

For more information on the differences between business analytics and business intelligence, top business analytics tools, and best business intelligence tools:

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Data Mining Vs. Business intelligence: All you need to know

The surge in the use of mobile software and cloud services has sparked a new relationship between IT and business processes. This shift has made terminologies such as data mining, big data, and business intelligence the new buzz words for modern businesses. These terms are inter-related and often carry similar meaning which could confuse most of us. Therefore, it is necessary to understand the key differences between the two important techniques widely used by businesses today – data mining and business intelligence.

Data mining is essentially the practice of examining large pre-existing databases with the motive to generate new information. Data mining specialists work with large datasets to identify insightful trends and patterns. In many cases, due to information overload data miners often overlook essential parameters that could make their companies excel. In short, data mining is all about deriving answers to issues you didn’t know you were looking for beforehand. Business intelligence, on the other hand, deals with the business processes and data analysis techniques which help to collate enterprise data. With the help of BI, companies can gain historical, current and predictive views of business operations. Data scientists devise Business intelligence tools to generate, aggregate, analyze, and visualize data, which in turn assists a company in better decision making.

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Data mining VS business intelligence

Analysis methodology

 BI utilizes the past data in small or large scale. It is useful for the management to interpret past information and also to enhance their decision-making capabilities. On the contrary, data mining techniques utilize computational intelligence to discover relevant business factors on a small scale. The data helps management to identify potential opportunities and business factors that they were previously unaware of.

Deriving solutions

A prominent feature of business intelligence is that it is volumetric. These analytics tools are concerned with monitoring the predetermined key performance indicators(KPIs’). Data mining makes use of scientific methodology and algorithms to discover data patterns and behaviors. Furthermore, it helps identify management blind spots and provides an in-depth case-by-case statistical analysis.

Presentation of results

Business intelligence provides dashboards with consolidated views of the KPIs in the form of graphs and charts. In data mining, reports are presented with recommendations for strategic decision making.

Focus: BI helps to monitor factors such as price, value, temperature, total cost, etc. On the other hand, data mining identifies data patterns, which creates new analysis indicators for BI.

The volume of data

 BI is exposed to large datasets; however, they are limited to the processing of relational databases. Data mining, however, deals with smaller datasets, accompanying higher data processing expenses.


To know more about how data mining and business analytics can be leveraged for your business

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