Market Intelligence for Sales and Marketing – Case Examples
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Better Market Intelligence with Smart Search Anaging Uncertainty and Risk in Business Requires a 1 Mcomprehensive Market Intelligence Approach
Better Market Intelligence with Smart Search anaging uncertainty and risk in business requires a 1 Mcomprehensive market intelligence approach. But maintaining ongoing knowledge of competitor activity/strategies, not to mention the latest legal and regulatory shifts and economic factors, is more difficult than ever before. Defining a competitive set has never been more complicated A clear view of your competitor landscape is essential. Unfortunately, comprehensively tracking competitors can be imprecise and hard to measure when competitive lines are shifting such as: Entrenched players expand into a new vertical (e.g., Amazon buys Whole Foods) Disruptive startups radically change a competitive landscape overnight (especially since disruptors are hard to track due to a nascent digital footprint). Information overload + data fatigue Historically, market intelligence programs operated under the belief that analysis of competitors could be based exclusively on publicly available information.1 While some high quality secondary sources of A wealth of information information—for example, broker research—are not is a double-edged sword. free for the general public, it is true that a wealth of It creates noise, making it information about companies is readily available on difficult to hone in on the the Internet. most relevant information But a wealth of information is a double-edged sword. to your precise interests. It creates noise, making it difficult to hone in on the most relevant information to your precise interests. It’s easy to publish unverified, uncited information, making it too easy for a company to push a strategic communications message that’s impossible to verify (for example, “We’ll be first to market with this cancer-stopping drug”). -
Leveraging Social Media for Supply Chain Competitive Intelligence: an Exploratory Study
LEVERAGING SOCIAL MEDIA FOR SUPPLY CHAIN COMPETITIVE INTELLIGENCE: AN EXPLORATORY STUDY Chris I. Enyinda, Canadian University of Dubai, [email protected] ABSTRACT The social media has become one of the premier resources to harvest supply chain competitive intelligence and in turn drive supply chain performance improvement. Like in marketing, supply chain is not immune from social media’s influence. Indeed, social media is the latest sources of data for firms to acquire supply chain competitive intelligence. However, in spite of this revolutionary trend, there is little or no empirical research on the impact of social media on supply chain competitive intelligence. The present research fills the gap by investigating the role of social media in acquiring supply chain competitive intelligence to enhance supply chain performance. Key Words: Social Media, Supply Chain, Competitive Intelligence, AHP INTRODUCTION In today’s social media universe where consumers exert more power and influence, organizations have no choice but to embrace it or perish. Like in marketing, supply chain is not immune from social media’s impact. The advent of social media has made the global marketplace more than ever competitive. Social media can be valuable tools for gaining supply chain competitive intelligence. The importance of social media in supply chain management is receiving attention in the popular press and blogs. Much of that attention is coming from the practitioner community. However, one of the challenges confronting supply chain managers and C-level executives is how to employ social media data to gain supply chain intelligence for the purposes of enhancing competitive business knowledge and better decision making. -
Competitive Intelligence: Systematic Collection and Analysis of Information
Journal of Critical Reviews ISSN- 2394-5125 Vol 6, Issue 5, 2019 Competitive Intelligence: Systematic Collection and Analysis of Information Kundharu Saddhono1, Jacky Chin2, Apriana Toding3, Muhammad Nuzul Qadri4, Ismail Suardi Wekke5 1Universitas Sebelas Maret, Indonesia. E-mail: [email protected] 2Industrial Engineering Department, Mercu Buana University, Jakarta 11650, Indonesia 3Department of Electrical Engineering, Universitas Kristen Indonesia Paulus, South Sulawesi, Indonesia 4Sekolah Tinggi Ilmu Ekonomi Enam Enam, Kendari, Indonesia 5Sekolah Tinggi Agama Islam Negeri (STAIN) Sorong, Indonesia Received: 17.11.2019 Revised: 14.12.2019 Accepted: 18.12.2019 Abstract: Nowadays data is that the economic basis of every company. One has to understand the merchandise, the technology behind it, however additionally the client, the contestant and different circumstances that influence the business. The scientific term for the need information of data gathering and its transformation into applicable knowledge is Competitive Intelligence. This thesis focuses on three queries concerning competitive intelligence that area unit coupled during a model. First off it offers an outline concerning the foremost vital styles of competitive intelligence. Supported three sorts, specifically Market Intelligence, contestant Intelligence and Internal Intelligence, it raises the question if there area unit industry- specific necessities and general key aspects of the activity. The main focus cluster consists of fifteen international corporations from completely different industries that were analyzed with regard to military operation and kinds of competitive intelligence activities. Secondly the thesis considers legal aspects. It asks however effective international treaties and European laws area unit in terms of legal action of unfair competition and protection of material possession rights. -
Open Source Intelligence and Osint Applications
Sanna Tuominen OPEN SOURCE INTELLIGENCE AND OSINT APPLICATIONS OPEN SOURCE INTELLIGENCE AND OSINT APPLICATIONS Sanna Tuominen Bachelor’s Thesis Spring 2019 Information Technology Oulu University of Applied Sciences ABSTRACT Oulu University of Applied Sciences Degree Programme in Information Technology, Option of Intelligent Systems Author: Sanna Tuominen Title of the bachelor’s thesis: Open Source Intelligence and OSINT Applications Supervisor: Eino Niemi Term and year of completion: Spring 2019 Number of pages: 55 + 3 appendices Emerge of the Internet as a global platform for sharing and exchanging information world-wide has increased exponentially the amount of publicly available data. Open source intelligence [OSINT] aims at addressing specific intelligence requirements utilising this data. Open source intelligence is traditionally associated with military intelligence, yet users of OSINT today are ranging from governments to businesses and regular citizens. The objective of this thesis was to study what open source intelligence is and demonstrate the use of selected OSINT tools. In the theory sections, this thesis considered the current state of OSINT and evaluated its future. The popularity of OSINT is increasing, and the usage of OSINT is expanding into new arenas. The main challenge with OSINT is the trouble of finding the meaningful bits from massive data amounts. Hence, this thesis introduced and demonstrated three OSINT solutions displaying the nature and the differing attributes of the selected OSINT solutions. The study of the solutions was conducted as a demonstration assessment, where the use and the results of selected OSINT solutions were recorded and observed. The thesis findings show that the range of OSINT solutions is wide and scattered. -
The Role of Competitive Intelligence and Its Sub-Types on Achieving Market Performance
A Service of Leibniz-Informationszentrum econstor Wirtschaft Leibniz Information Centre Make Your Publications Visible. zbw for Economics Tahmasebifard, Hamid Article The role of competitive intelligence and its sub-types on achieving market performance Cogent Business & Management Provided in Cooperation with: Taylor & Francis Group Suggested Citation: Tahmasebifard, Hamid (2018) : The role of competitive intelligence and its sub-types on achieving market performance, Cogent Business & Management, ISSN 2331-1975, Taylor & Francis, Abingdon, Vol. 5, http://dx.doi.org/10.1080/23311975.2018.1540073 This Version is available at: http://hdl.handle.net/10419/206130 Standard-Nutzungsbedingungen: Terms of use: Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Documents in EconStor may be saved and copied for your Zwecken und zum Privatgebrauch gespeichert und kopiert werden. personal and scholarly purposes. Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle You are not to copy documents for public or commercial Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich purposes, to exhibit the documents publicly, to make them machen, vertreiben oder anderweitig nutzen. publicly available on the internet, or to distribute or otherwise use the documents in public. Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, If the documents have been made available under an Open gelten abweichend von diesen Nutzungsbedingungen die in der dort -
Market Intelligence Surveillance Market Intelligence, Surveillance
Market Intelligence, Surveillance Systems and Techniques to Detect and Deter Securities Market Fraud Ester Saverson, Jr., Assistant Director Office of International Affairs U.S. Securities and Exchange Commission* *The U.S. Securities and Exchange Commission, as a matter of policy, disclaims responsibility for any private publication or presentation of its staff. The views expressed herein are those of the authors and do not necessarily reflect the views of the Commission, individual commissioners, or the author’s colleagues on the staff of the Commission. Three Major Types of Market Fraud Trade Based Market Manipulation – Pre-arranged Trades • Washed Trades • MthdTMatched Tra des – Marking (pegging and capping) the Close – Short Squeeze – Controlling the Supply of a Security AtiAction B ased dM Mark ktMet Man ipu ltilation – Misrepresentation or False Statement IfInformat ion B ased dMk Market Man ipu lat ion – Insider Trading – Front Running Why is Market Fra ud Bad? Fraud affects the integrity of the market – Drive pppeople out of market – Keep capital on the sidelines MiltidittthidManipulation distorts the independ dtent trading and pricing mechanism – Raises the cost of capital – Lowers cost of securities Securities regulation is intended to ensure tha t mar ke ts are fa ir, effi ci ent and transparent Areas of Concern TdiTrading at or near th hCle Close Spikes in volume or price Block Trading Offerings Redemptions Program Trading Short Sales Mergers and Acquisitions Spikes Before a material announcement Key Elements -
BIS Quarterly Review September 2007 International Banking and Financial Market Developments
BIS Quarterly Review September 2007 International banking and financial market developments BIS Quarterly Review Monetary and Economic Department Editorial Committee: Claudio Borio Frank Packer Paul Van den Bergh Már Gudmundsson Eli Remolona William White Robert McCauley Philip Turner General queries concerning this commentary should be addressed to Frank Packer (tel +41 61 280 8449, e-mail: [email protected]), queries concerning specific parts to the authors, whose details appear at the head of each section, and queries concerning the statistics to Philippe Mesny (tel +41 61 280 8425, e-mail: [email protected]). Requests for copies of publications, or for additions/changes to the mailing list, should be sent to: Bank for International Settlements Press & Communications CH-4002 Basel, Switzerland E-mail: [email protected] Fax: +41 61 280 9100 and +41 61 280 8100 This publication is available on the BIS website (www.bis.org). © Bank for International Settlements 2007. All rights reserved. Brief excerpts may be reproduced or translated provided the source is cited. ISSN 1683-0121 (print) ISSN 1683-013X (online) BIS Quarterly Review September 2007 International banking and financial market developments Overview : credit retrenchment triggers liquidity squeeze.................................... 1 Credit markets sell off as mortgage exposures are reassessed ............. 2 Box: Liquidity risk and ABCP mechanics ............................................ 7 Bond yields plunge as investors flee risky assets ................................. -
Introduction to Competitive Intelligence
INTRODUCTION TO COMPETITIVE INTELLIGENCE GIA WHITE PAPER 1/2004 Executive Summary Competitive intelligence can be defined as The intelligence terminology has always been knowledge and foreknowledge about the somewhat blurred, and new terms emerge as the external operating environment. The ultimate intelligence discipline matures within the corporate goal of each intelligence process is to facilitate setting. decision-making that leads to action. • Competitive Intelligence, Successful business strategy requires awareness • Business Intelligence, about the company’s external environment, • Market Intelligence and including its customers, competitors, industry • Corporate Intelligence structure, competitive forces etc. Information about these issues is the key target of competitive are often used interchangeably or as synonyms, intelligence. Competitive intelligence can be while defined as knowledge and foreknowledge about the external operating environment. The ultimate • Strategic Intelligence, goal of each intelligence process is to facilitate • Customer Intelligence, decision-making that leads to action. • Competitor Intelligence and • Technology Intelligence The intelligence process enables turning information into intelligence by processing it via analysis, add a dimension of specificity to the subject. interpretation and synthesis and utilizing it in the Eventually, all intelligence terms refer to using future-oriented decision-making. Managing the systematic methods to collect, analyze and future does not only mean being able to anticipate disseminate information that supports decision- what will happen outside the company but also making. being able to shape the happenings through own actions, i.e. to proactively create one’s future. According to one of the views, Competitive Intelligence (CI) is regarded as the broadest Competitive Intelligence is not market research scope of intelligence activities covering the whole or industrial espionage. -
Studying the Influence and Dimensions of Competitive
International Journal of Science Culture and Sport June 2014; 2(2) ISSN : 2148-1148 Doi : 10.14486/IJSCS61 Studying the influence and dimensions of Competitive Intelligence of Coaches on performance of current Soccer teams of The Iranian Premier League According to Component Balanced Scorecard (BSC) Amir Abbas BABAKIANPOUR*, Azadeh Akhzari HAMEHDANI** * Arman Pajoohan Company, Hamedan, Iran E-mail address: [email protected] Tel: +989187037381 ** Arman Pajoohan Company, Hamedan, Iran E-mail address: [email protected] Tel: +989181071263 Abstract The aim of this study was to investigate the impact of coaches competitive intelligence on the football teams performance in the Iranian Premier League based on the Balanced Scorecard component (BSC).This practical research is a descriptive - correlational study in which population consisted of all head coaches and coaches from 16 Iranian Premier Football teams between1392-1393. Two individual from each team were selected as coach and head coach and the sample of 32 students were selected by census method. Questionnaire, 12 balls Fehy (2007) was used to measure competitive intelligence Coaches variables and ¬ 20 items of the questionnaire Neon (2003) was used to measure team performance. The results showed that the competitive intelligence team football coaches could affect performance and internal team performance will significantly increase. Also the team awareness condition, technical knowledge, Opponents situation awareness, and awareness strategy of the coaches had the greatest impact on team performance. In fact, coaches who having high level of competitive intelligence will use the environmental threats as opportunities for improvement and uses it to enhance team performance. Key Words: Competitive Intelligence, Team's performance, Balanced Scorecard component (BSC) Copyright©IntJSCS (www.iscsjournal.com) - 13 International Journal of Science Culture and Sport (IntJSCS) June 2014 1. -
January 26, 2021 | for Informational Purposes Only This Is
• ARK Investment Management LLC Big Ideas 2021 January 26, 2021 | For Informational Purposes Only This is not a recommendation in relation to any named securities and no warranty or guarantee is provided. Any references to particular securities are for illustrative purposes only. There is no assurance that the Adviser will make any investments with the same or similar characteristics as any investment presented. The reader should not assume that an investment identified was or will be profitable. PAST PERFORMANCE IS NOT INDICATIVE OF FUTURE PERFORMANCE, FUTURE RETURNS ARE NOT GUARANTEED. www.ark-invest.com 2 • Big Ideas 2021 ARK aims to identify large-scale investment opportunities by Introduction focusing on who we believe to be the leaders, enablers, and beneficiaries of disruptive innovation. While we believe innovation is the key to growth, the opportunities it creates can be missed or misunderstood by traditional investment managers who are more focused on sectors, indexes, short-term earnings, and price movements. ARK’S BIG IDEAS ARK seeks to gain a deeper understanding of the convergence, market potential, and long-term impact of disruptive innovation by researching a global universe that spans sectors, industries, and markets. Today, we are witnessing an acceleration in new technological breakthroughs. To enlighten investors on the impact of these breakthroughs and the opportunities they should create, we began publishing Big Ideas in 2017. This annual research report seeks to highlight the latest developments in innovation and offers some of our most provocative research conclusions for the year. About ARK Headquartered in New York City, ARK Investment Management LLC is a federally registered investment adviser and privately held We hope you enjoy our “Big Ideas” for 2021. -
Action Implications for Executives and Researchers
A Service of Leibniz-Informationszentrum econstor Wirtschaft Leibniz Information Centre Make Your Publications Visible. zbw for Economics Huber, George P. Article Changes in the structures of U.S. companies: Action implications for executives and researchers Journal of Organization Design Provided in Cooperation with: Organizational Design Community (ODC), Aarhus Suggested Citation: Huber, George P. (2016) : Changes in the structures of U.S. companies: Action implications for executives and researchers, Journal of Organization Design, ISSN 2245-408X, Springer, Cham, Vol. 5, Iss. 8, pp. 1-8, http://dx.doi.org/10.1186/s41469-016-0010-x This Version is available at: http://hdl.handle.net/10419/217433 Standard-Nutzungsbedingungen: Terms of use: Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Documents in EconStor may be saved and copied for your Zwecken und zum Privatgebrauch gespeichert und kopiert werden. personal and scholarly purposes. Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle You are not to copy documents for public or commercial Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich purposes, to exhibit the documents publicly, to make them machen, vertreiben oder anderweitig nutzen. publicly available on the internet, or to distribute or otherwise use the documents in public. Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, If the documents have been made available under an Open gelten abweichend von diesen Nutzungsbedingungen die in der dort Content Licence (especially Creative Commons Licences), you genannten Lizenz gewährten Nutzungsrechte. may exercise further usage rights as specified in the indicated licence. https://creativecommons.org/licenses/by/4.0/ www.econstor.eu Huber Journal of Organization Design (2016) 5:8 DOI 10.1186/s41469-016-0010-x POINTOFVIEW Open Access Changes in the structures of U.S. -
Market Intelligence in Large Companies
Market Intelligence in Large Companies Global Study 2007 GIA White Paper 2/2007 This is the second time the 1. EXecUtiVE SUmmaRY For this report, 281 companies were interviewed in order to Global Market Intelligence identify the present status, organization, IT tools and future Study has been carried out; outlook of Market Intelligence activities. the first time was in 2005 Companies from the following countries took part in the study: Belgium, Finland, UK, the Netherlands, United States, India, and it is now one of the most Brazil, Germany, and Spain. Member companies in the Global Intelligence Alliance in these countries were responsible for data comprehensive, if not the most collection. comprehensive, global Market In general, the vast majority of large companies in all markets conduct Market Intelligence activities which are mostly aimed Intelligence study based on at acquiring further information on competitors, industry and interviews. customers. Market Intelligence activities are mainly conducted to support corporate strategic planning and business development, while sales and marketing remain another typical user group of the collected business information. Market Intelligence is currently still a relatively nascent practice within companies, however, across all the markets companies do appear to conduct all forms of MI activities (continuous monitor- ing, regular reviews, ad-hoc reports). GIA White Paper 2/2007 Market Intelligence in Large Companies - Global Study 2007 The vast majority of companies conduct their own Market Intelligence information process- 2/2007 ing within a centralized unit. However, MI activity is still relatively small-scale given that the global average for personnel allocated to MI activities is below ten.